Higher Education Qualification

Post graduate MQF-EQF Level 7


Post Graduate Diploma in Behavioural Neuroscience

for Business

Higher Education Programme

Qualification Level MQF-EQF: 7

ECTS: 60

Provision: Blended Full Time

Total Hours : 1500

Duration: one year

Language: English

Subject Areas: Business, administration and law

Accreditation Date: 01/06/2023


See the qualification on the official EU website:


  • Course description

    Since the mid-1990s, neuroscience has begun to use sophisticated brain imaging technologies (fMRI, EEG, CT, MRI, PET) to study the architecture of the brain and its functioning. Many of the pioneering research in marketing and behavioural economics have been made possible thanks to these technologies. The Post Graduate Diploma in Behavioural Neuroscience for Business program does not aim to train in the use of these sophisticated and expensive brain imaging technologies, which remain confined to academic and medical research, but focuses on the study and use of neurotechnology, such as Eye tracking, GSR and online platforms that offer analysis of eye movements and emotion reading, which are widely used in research on people's implicit behaviours in every aspect of private, social and business life.

  • Course features

    Neuroscience is a rapidly developing field that has many applications in various areas, including business. As the understanding of how the brain works increases, businesses are beginning to realize the potential benefits of applying neuroscience to their operations. This has created a growing demand for individuals who are trained in both neuroscience and business. Upon completion of the P. g. D. Behavioural Neuroscience for Business course, students acquire skills that are applicable in various occupational areas. It is important to specify that students who complete the course are not expected to directly create marketing, advertising, branding, promotional campaigns, etc., but rather to evaluate the impact that these various actions can have on the minds of people, customers, consumers and citizens and offer solutions in line with what the brain estimates to be of real interest.

  • Course requirements

    The entry level is MQF level 6. The English language is a necessary requirement for admission, along with the corresponding certifications. The digital skills required are those related to the use of the most popular applications in both Windows (Microsoft Office) and IOS (Apple Pages, Numbers and Keynote) operating environments. Additional skills in statistics are considered favourably. The (Pgd - post graduate diploma in behavioural neuroscience for business does not require specific knowledge or competencies related to economics. The admission requirement for previous degrees already ensures homogeneity among applicants, related to marketing and corporate communication (which cannot be pursued without some knowledge of consumer psychology).

  • Target Group and audience

    The target group to be admitted to the PgD in Behavioural Neuroscience

    for Business  (or single courses) will be made up of graduates in marketing, corporate

    communication science and management, political and social sciences.

    Graduates in psychology and neuroscience who have already specialized in

    marketing and corporate communication during their university studies

    are also included in the target group.

    Alternatively, those who have work experience in the marketing and

    communication sector, or who have completed a Master's degree in

    Marketing, are also eligible to apply.


    Other degree qualifications (always MQF level 6) close to the typology just

    described, which may only have different denominations, may be accepted.


    On the basis of the pertinence of the curriculum of studies and of the other postgraduate studies followed by the candidates. For example, there are

    many sociology graduates who specialize in digital marketing. The program PgD. in Behavioural Neuroscience for Business may include these

    requests to participate.

  • Grading System

    The final Certificate is awarded with an overall grade A (score between 90 and 100), B (score between 75 and 89) or C (score between 60 and 74) on the basis of the candidates’ performance (average score of all modules of the course and final exam). The same score is awarded for each course/module.

  • Enrollment Periods

    Enrollment is open for each quarter, respecting the progression of the modules.

  • Tuition Fee

    Ordinary Tuition Fee

    14.000 EUR


    Reduced  Scholarship  Tuition Fee  2024:

    (€ 6.700 instead € 14.000)


    Registration fee: : 700 EUR

    Semester I : 2500 EUR

    Semester II: 2500 EUR

    Thesis/Graduation: 1000 EUR    


Programme

Learning Outcome


Knowledge, skills and competence



  • Knowledge

    The knowledge of the program are articulated in modules connected to each other. The program proposes two semesters and the teachings are planned with criteria of progressivity. The modules will be carried out sequentially. After completing one module, the next one will begin. The modules of the first semester are: • Psychology and neuroscience of behavior • Marketing and digital marketing • Neuroscience of communication and persuasion • Methods and tools of neuroscience for business The two initial modules allow students, who are already graduates and may also have work experience, to build their knowledge on two pillars of the entire learning path: marketing and behavioral sciences. They allow all students to understand how the brain of individuals works when faced with stimuli and when they have to make choices as individuals, and in the case of business, as economic actors. Today, stimuli mostly occur through the web and smartphone applications. It is important to connect traditional marketing still widely present in companies with digital marketing techniques that aim to stimulate consumer action through various types of messages: visual, olfactory, auditory.

  • Skills

    Blended training, personal and group exercises allow you to develop skills in three areas: 1. Communication skills. Skills that enable students to communicate the results of their activities considering the audience. Through feedback from teachers and colleagues, students will learn to convey the results of their projects in a clear, concise and understandable way. 2. Judgment skills. The training linked to the presentation of real cases and to the analyses carried out in the real context, where information is often limited, allows students to understand how to carry out projects on unusual topics and develop creative skills and practical problem solving. 3. Learning skills. Individual modules allow students to make their own assessment to be aware of the level of learning achieved. Based on the results of their assessment, the degree of interest in a specific disciplinary area, each individual student can decide to deepen specific aspects and continue with other levels of specialization.


  • Competence

    Given the possibility of using the methodologies of behavioural neuroscience in many sectors of business, the training program aims to train people who are able to: a) use the neurotechnology of Eye tracking, GRS and Implicit Association Test (I.A.T.) for multiple projects starting from communication, marketing and business strategy, Use on line platform for project of neuromarketing. b) use statistics and Machine Learning platforms to analyse data collected with neurotechnology, as well as data from proprietary or non-proprietary (social) platforms, to understand people's decision-making process and optimize the offer of products and services consistently with their implicit responses, c) use the consolidated results of neuroscience and cognitive psychology to reduce errors (biases) in business choices at every organizational level (strategy, products, services, communication, prices, channels, clusters, advertising campaigns, information). d) use consolidated knowledge of persuasive communication and nudge to achieve goals faster and more effectively that companies or other public and private organizations set for themselves to meet the needs.

  • Learning Assessment General Procedures

    At the end of each module, a verification of theoretical learning, concepts,

    and the ability to translate what has been learned into practice is foreseen,

    usually through the assignment of an individual task. However, specific

    disciplines are not always suitable for carrying out a practical task (e.g.

    neuroethics). Learning questionnaires and oral examination will be

    used for the assessment.

    Learning Questionnaires Passing Grade: at least 80% correct answers

    Oral Examination Passing Grade: at least correct exposition of two topics

    out of three, among those requested by the examination board.

    The consistency part of the final evaluation relates to the exercises and the

    final project (case study) presented by the students at the end of the

    course to the commission of teachers. The evaluation of the final result

    precedes the release of the ECTS / Qualification.

    The final Certificate is awarded with an overall grade A (score between 90

    and 100), B (score between 75 and 89) or C (score between 60 and 74) on

    the basis of the candidates’ performance (average score of all modules of

    the course and final exam).

STRUCTURE OF THE PROGRAMME

 The programme is offered on blended full-time modality.
SEMESTERS

2

COURSES/MODULES

 9

COURSE/MODULE Semester Hours/ECTS Exams
PSYCHOLOGY AND NEUROSCIENCE OF BEHAVIOR FIRST 225/9 Jan/Feb
MARKETING AND DIGITAL MARKETING FIRST 150/6 Jan/Feb
NEUROSCIENCE OF COMMUNICATION AND PERSUASION FIRST 125/5 May/Jun
METHODS AND TOOLS OF NEUROSCIENCE FOR BUSINESS FIRST 250/10 May/Jun
BEHAVIORAL ECONOMICS AND NEUROECONOMICS SECOND 150/6 Sept/Oct
NEUROMARKETING SECOND 200/8 Sept/Oct
APPLICATIONS OF MACHINE LEARNING AND A.I. SECOND 150/6 Sept/Oct
NEUROETHICS SECOND 100/4 Sept/Oct
FINAL WORK SECOND 150/6 Sept/Oct
TOTAL ====== 1500/60

BNB01 - PSYCHOLOGY AND NEUROSCIENCE OF BEHAVIOR

HIGHER EDUCATION COURSE _ MQF LEVEL 7

PSYCHOLOGY

AND NEUROSCIENCE

OF BEHAVIOR


This Module will provide students with an overview on core topics in psychology and neuroscience, with a focus on those playing a leading role in our everyday behaviour.

This Module is primarily aimed at those who do not have a psychology or neuroscience background. The module is also useful for those who, despite having had learning experiences in the field of marketing and consumer psychology, wish to align their knowledge with the discoveries of neuroscience on the functioning of the brain and the mechanisms underlying behavior.

 This module is related to "Methods and tools of neuroscience for business". Attending both modules allows students to acquire ability to apply neuroscience to business.

Professor

Andrea Zangrossi. PhD.

Researcher in cognitive neuroscience at the Neuroscience Centre of University of Padova.

His research area and teaching experience is mainly focused on the link between brain activity, cognition and behaviour, with applications in several fields including neuroscience and neuromarketing

Assessment

Online multiple-choice test Assignment: Case study




ECTS CREDITS:  9 (225 Hours)


Total Contact Hours: 96

Supervised Placement/Practice Hours: 54

Self-Study Hours: 70

Assessment Hours: 3


Provision: Blended


Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    a) The fundamental concepts of research in psychology;

    b) psychological models and brain mechanisms of:

    • perception; 

    • learning and memory; 

    • motivation and emotion; 

    • personality;

    • social behavior; 


    c) To learn the methods for conducting psychographic surveys and reconstructing consumer traits, values, and preferences using validated and reliable personality questionnaires.


    d) Prepare research projects by:


    • Defining the sample size and selection in research based on objectives.

    • Selecting the methodology (focus groups, structured interviews, development of quantitative questionnaires for analyzing declared preferences and attitudes; use of questionnaires, e.g., Cross Wise Model, to mitigate social desirability present in consumer responses).

    • Analyzing data 


  • Skills

    Applying knowledge and understanding


    The learner will be able to:

    a) manage the know-how to assess behavior in the light of psychological and neuroscientific methods; 

    b) design and manage projects in business contexts with the application of neuroscientific and psychological methods;

    c) apply questionnaires and tests to specific problems in the business context 

    d) collect and analyze data in a thoughtful way to solve applied problems.

    e) Interpreting statistical results and translating them into meaningful insights for decision-making in consumer behavior.


    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    a) critically evaluate concepts from psychology and neuroscience to understand human behavior in various contexts;

    b) provide non-simplistic explanations of evoked human behavior and identify ways to change it;

    c) examine settings to predict people behavior (e.g., consumers)

    d) select the most suitable tools to deal with applied problems.

    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The learner will be able to:  

    a) Cooperate and work in multidisciplinary teams.

    b) Illustrate behavioral projects in the light of valid models in cognitive neuroscience; 

    c) present projects effectively using specific tools and considering the diversity of the audience (a simple graphic animation, a PowerPoint presentation with illustrative images, a short explanatory video of the results, and more).

    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to:

    a) independently identify topics in psychology and neuroscience to expand knowledge;

    b) undertake further studies in the cognitive neuroscience framework;

    c) evaluate his/her learning to identify and fill gaps in relation to specific problems;

    d) To join a LinkedIn group or community of practice.


    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to present the results of research projects (for example, statistical results; qualitative insights; recommendations or interventions):

    a) prepare videos and digital presentation of (use Screencast-O-Automatic or others online video creation tools, such Canva, and Lumen5,  typically more user-friendly than professional-grade video editing software)

    b) Use remote tools for case presentations (for example, Zoom, Teams, ecc.)




  • Competences

    a) Be able to master the key principles of psychology and neuroscience and use them to evaluate behavior.

    b) Understand the main mental faculties and their neural correlates.

    c) Acquire technical skills to carry out psychographic surveys and reconstruct consumer traits, values, and preferences using validated and reliable personality questionnaires.

    d) Conduct focus groups, structured interviews, and develop quantitative questionnaires aimed at analyzing declared preferences and attitudes.

    e) Develop questionnaires, such as the Cross Wise Model, to attenuate social desirability present in consumer responses.

    f) Analyze the data from conducted research and present findings.

    g) Design and manage projects in various research and business contexts: 

    designing and managing a non-academic research project in the field of marketing and business using behavioral neuroscience. The questions to be answered, planning, execution, monitoring, and evaluation of the project.

    h) Carry out critical evaluations and analysis in applied contexts to solve specific problems. 

    i) Demonstrate autonomy in learning and ability to continue studies autonomously.


BNB02 - MARKETING AND DIGITAL MARKETING

HIGHER EDUCATION COURSE _ MQF LEVEL 7

MARKETING AND DIGITAL MARKETING


The module introduces students to traditional marketing concepts that are still present in the context of the current evolution of digital marketing. However, the latter has innovated the ways of thinking about the market and customers in every respect. Just think of the myriad of platforms that offer digital services to connect the business world with customers. This module is essential to better understand how neuroscience can intervene in all stages of marketing (it is therefore connected to the neuromarketing module) to offer advanced measurement services that integrate traditional marketing research methodologies.

Ø This module is also connected to the Machine Learning module for analysing behavioral data.

Professor:

Davide Rigoni Ph.D.

Professor in Neuromarketing and Market Research at the Hult International Business School London (UK). Lecturer at the Vrij University Brussels (B). He was a researcher in the Department of Experimental Psychology at Ghent University (B) and at the University of Marseille (F).

         

Assistant lecturer: Lorenzo Zorzi

Graduated from Bocconi in Economic and Social Sciences, he is Senior Communication & Digital Expert. He began his career at Arthur Andersen & Co and worked as a Management Consultant at Value Partners, Monster Media, Accenture Technology, Mandora.

Assessment:

Online multiple-choice test Assignment: Case study

ECTS CREDITS: 6 (150 Hours)


Total Contact Hours: 56

Supervised Placement/Practice Hours: 40

Self-Study Hours: 50

Assessment Hours: 4


Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    • Marketing mix.

    • The marketing plan.

    • Products and consumers.

    • Marketing research.

    • Sales segmentation and forecasting.

    • Consumer buying behavior.

    • Brand.

    • Packaging.

    • Sales channels and points of sale.

    • The digital transition.

    • The central role of data.

    • Predictive marketing.

    • Digital marketing platforms.

    • Acquisition plans and budget allocation.

    • Customer journey.

    • Value based marketing.


  • Skills

    The learner will be able to:

    a) Support marketing and digital marketing experts in order to introduce the issue of behavioural neuroscience into their activities;

    b) highlight biases present in marketing and digital marketing strategies;

    c) help to objectively define what consumers really want from the brand;



    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    b) collect trends in the digital market sensitive to the application of neuromarketing;

    c) understand how and when prejudices influence marketing choices and propose their revision.



    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The learner will be able to:  

    - Communicate with the same language as companies and marketing experts, in order to introduce the concepts of behavioural neuroscience and behavioural economics in a way that can affect operational choices


    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to

    - Propose studies in specific sectors considered critical for the success of the company (e.g. brand image, site, product planning and design, analysis of the language of marketing campaigns…) and critically evaluate the possible results and benefits;


    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to

    a) Identify marketing platforms and use their services to answer customer questions in a new way 

    b) use at least one platform for research activities (for example on implicit behaviors through I.A.T. for logo and brand)


  • Competences

    a) Understand the purposes of marketing in the context of the company's strategies,

    b) examine a marketing plan starting from the mission of the company,

    d) identify the company's products, life cycle and market share,

    e) analyze the marketing research carried out by the company and evaluate its limits

    d) Evaluate the opportunity to introduce objective analysis tools using neurotechnologies in the context of digital marketing (e.g. carry out non-invasive and non-intrusive experiments in shopping places; monitor online consumers' mental processes in real time; combine different technologies to corroborate the results obtained with different neuroscientific tools).




BNB03 - NEUROSCIENCE OF COMMUNICATION AND PERSUASION

HIGHER EDUCATION COURSE _ MQF LEVEL 7

NEUROSCIENCE OF COMMUNICATION AND PERSUASION


This module aims to;

a) illustrate the main communication theories and methods traditionally used by marketing experts to convey persuasive messages capable of leading to changes, for example, in consumers' purchasing intentions, voting intentions, health programs, etc.

b) examine how neurosciences have come to identify the neural mechanisms that form the basis of persuasion of our species.

c) applying the rules of persuasion, adapted with the most recent discoveries in the neuroscientific field.

This module is connected to the module on "neuroscience tools and methods" that study the physiological activation determined by persuasive messages through neurotechnologies.

Professor:

Demetrio Macheda.

Academic Fellow of the International University Center and director of the Master of Neuromarketing and Behavioural Design. He is an expert in the analysis of consumer behavior through sentiment analysis systems. He is co-founder of the Skill View evaluation model (translated in 10 languages), present on the market for over twenty years: www.originalskills.com. He has published several books on the subject of evaluation and HR processes.

Assessment:

Online multiple-choice test.  Individual exam

ECTS CREDITS: 5 (125 hours)


Total Contact Hours: 32

Supervised Placement/Practice Hours: 32

Self-Study Hours: 56

Assessment Hours: 5


Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    a) Understand the theories and concepts of communication and advertising

    b) psychology (attention, memory and emotion) and social psychology (Attitude, conformity, social groups, interaction in groups and between groups)

    c) the role of emotions in advertising and persuasion.

    f) neural correlates and behavior change after exposure to persuasive messages

    d) social media and advertising theory

    f) R. Cialdini's model of persuasion.


  • Skills

    Applying knowledge and understanding


    The learner will be able to:


    a) evaluate the possible effects of advertising on consumers;

    b) enhance the company's brand and products/services by taking into account explicit and implicit persuasive mechanisms and messages;

    e) push the consumer to action through persuasive messages;

    c) inform consumers about products/services taking into account the ethical value of communication and the social impact of advertising.


    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    a) Analyze the level of persuasiveness communication and related advertising campaigns;

    b) Use data and information to generate new insights, creative concepts and ideas for communication and advertising.



    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The learner will be able to:  


    - Communicate verbally and with specific tools, in the classroom and remotely, the results of exercises and applications concerning communication and persuasion,


    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to

    - identify development paths and possible specializations in the areas of advertising communication present in every type of organization.



    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to


    - select different types of business communication and advertising by presenting, through specific tools, the strengths and weaknesses in terms of persuasive communication



  • Competences

    a) Recognize the processes, contents and targets of the communication.

    b) Recognize different types of advertising messages.

    c) Carry out persuasive messages (advertising) through different media



BNB04 - METHODS AND TOOLS OF NEUROSCIENCE FOR BUSINESS

HIGHER EDUCATION COURSE _ MQF LEVEL 7

METHODS AND TOOLS

OF NEUROSCIENCE FOR BUSINESS


This module will provide an overview of research methods used in the practice of neuroscience that are applicable in the business world (from neuromarketing and to citizen services in various sectors such as transportation, healthcare, and public green spaces). Using a practical theoretical approach, we will introduce the methods employed by neuroscience (mainly eye-tracking, GSR, and lately online webcam-based methods) to study and analyse how the human mind functions in the context of business. Teaching laboratories and workshops will obviously only use portable and online technology (such as eye tracking, physiological sensors, online platforms). This module is linked, in terms of analysis of quantitative data, with the specific "Machine Learning module.". It is also connected with the first module which introduced students to neuroscience topics.

Professor:

Francesca Perna.Ph.D.

PhD in Cognitive and Brain Science at the CIMeC (Center for Mind/Brain Sciences) of the University of Trento. She works as a researcher on the project “Interactive Brain, Social Minds' followed by prof. Ulman Lindenberger, director of the “Max Planck Institute for Human Development” in Berlin. She presented the results of her research at numerous international and national scientific conferences.


Giulia Songa, Ph.D.

She obtained her PhD in Communication and Markets: Marketing, Economics, and Creativity from the Behavior and Brain Lab at IULM.

She was a Visiting Researcher at the Department of Marketing, Faculty of Economics and Business Administration, Ghent University (Belgium) Giulia has been the CEO and Founder of SenseCatch, a company specializing in neuromarketing, strategic consulting, training, and research applied to business. Giulia's scientific research has focused on the use of neuromarketing techniques to understand consumer behavior and emotional reactions towards food products, especially wine.

Assessment:

Evaluation ability to analyze data and interpretation

ECTS CREDITS: 10 (250 hours)


Total Contact Hours: 72

Supervised Placement/Practice Hours: 72

Self-Study Hours: 90

Assessment Hours: 16


Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    Knowledge – at the end of the module/unit the learner will have been exposed to the following: 

    Eyetrackers provide data on eye movements, including fixations and saccades, which can give insights into attention and visual processing. 

    The data includes saccade velocity, duration, and amplitude; fixation duration; blink frequency; and pupillary dilation. 

    Galvanic skin response (GSR) measures changes in electrical conductance of the skin, which can indicate emotional arousal and stress. This data can be used to evaluate the emotional impact of stimuli, such as advertising or products, and assess the effectiveness of interventions aimed at reducing stress or anxiety. 


    GSR provides two types of raw data: skin resistance and skin conductance, which are recorded as a time series of numerical values. However, to analyze this data effectively, disturbances generated during recording need to be removed.

    Common tools for GSR data collection use software to provide indications on the acquired data, but often the data needs to be exported and processed in Excel or CSV.

    Thus, at the end of the module/unit the learner will have been exposed to the following:

    • Brain imaging techniques and functioning principles

    • Eye-tracking principles and technique

    • Neurophysiological methods principles and techniques

    • Psychological methods for assessing implicit attitudes and associations

    • Review of key statistical tools for neuromarketing


  • Skills

    Applying knowledge and understanding

    The learner will be able to:

    a) Identify and select the most appropriate method and technology to solve a specific business problem.

    b) Comprehend how to collect and analyse data using an eye-tracking, GSR sensors and, lastly online technologies.

    c) Implement and finalize a research plan, from problem definition to delivery to the client, with expected results and evaluation criteria.

    d) Deliver the results of a research in a way that can be used in the practice of businesses and organizations.

    e) Provide practical recommendations to the client based on the evidence gathered through the research.


    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    a) Perform critical evaluations.

    b) Perform analysis with limited information to solve new problems contexts.

    c) Produce original project.


    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The learner will be able to

    a) to briefly describe to sector professionals but also to non-experts (typically corporate customers) the objectives of the survey carried out, the results obtained and the possible implementation.

    b) answer the questions asked in a way that avoids ambiguity. 

    c) align one's language with that of the interlocutors, providing examples and using tools to achieve the goal


    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to

    a) Use neurosciences methods and tools to meet the needs of public and private companies.

    b) Apply appropriate tools for studying the behaviour of people in organizational and social life (e.g. social services, healthcare, transportation)

    c) Use a well-defined set of methods to frame problems and provide structured and auditable design paths to solve them.


    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to


    Skills

    a) use GSR and Eye tracker tools 

    b) use the digital tools related to neuro-technology to analyze the effect of different stimuli (for example: images, video, webpages) on target participants (for example: https://www.realeye.io)

    Competences

    a) Software for data analysis. The software is either embedded in the measurement tools or data analysis software (such as Excel in the latest version 2022 can be used, which is often sufficient).

    b) Using online platforms for presenting projects (such as Zoom) and the e-learning platform.


  • Competences

    At the end of the module, students will be able to:

    a) identify the necessary sample (males, females, age, geographical area) based on the research question and obtain consent for participation. 

    b) calibrate the eye tracker.

    c) apply GSR sensors on the participants’ fingers.

    d) identify procedures and materials required to collect data from eye tracker and GSR sensors (i.e., displaying images or videos).

    e) conduct the experiment and collect the eye movement data from participants.

    f) use appropriate software to analyze the data collected from the eye tracker, such as fixation duration or saccade velocity.

    g) interpret the results of the analysis and determine the implications for your research question.

    h) write up the results of the experiment

    i) understand and analyses broad theoretical, practical and technical knowledge related to neuroscientific research methods.


BNB05 - BEHAVIORAL ECONOMICS AND NEUROECONOMICS

HIGHER EDUCATION COURSE _ MQF LEVEL 7

BEHAVIOURAL ECONOMICS

AND NEUROECONOMICS

 

One of the main successes of behavioural sciences has been the widespread recognition that individuals’ preferences are not exogenous (as generally assumed), but strikingly dependent on the choice environment. This is a fact with which public policies, company strategies, organizations whose goal is to collect survey data have to confront with.

 

The main objective of this course is to illustrate what behavioural economics has to say with regard to decision-making. The approach will be an interdisciplinary one, typical of the behavioural sciences. This approach uses tools and techniques from economics, neuroscience and psychology to better understand the cognitive processes underlying economic decision making.

 

The course will illustrate how behavioural economics predictions systematically deviate from those put forward by mainstream economics; explore heuristics and biases that affect decisions; discuss the role of social norms and emotions as well as the emergence of cooperation and altruistic behaviour.

 

A particular attention will be devoted to the design of public policies. In this respect, the course will cover two topics: the efficacy of material incentives to modify behaviour; the legitimacy of exploiting flaws in human decision-making to nudge people towards better choices.

Professor Behavioural Economics:

Claudia Civai., Ph.D.

PhD in Neuroscience (SISSA, Trieste). After International research experience in the United States and the Netherlands, she became Senior Lecturer in Cognitive Psychology and Neuroscience at London South Bank University. She uses behavioral techniques from experimental psychology and behavioral economics, combined with eye-tracking, neuroimaging and brain stimulation techniques from neuroscience research to investigate the cognitive processes underlying decision making at different levels.


Professor Neuroeconomics/Neurofinance:

Duccio Martelli, Ph.D..

He is associate professor of finance at the University of Perugia (Italy) and visiting professor at Harvard University. He was also visiting professor of finance at the University of Applied Sciences of Augsburg in Germany. He teaches undergraduate and graduate courses in behavioral and neurofinance, corporate and personal finance, private banking and financial markets, and his main research interests include behavioral and neurofinance, financial education, real estate finance and asset management.


Professor Behavioural Economics:

Sergio Beraldo, Ph.D.

Professor of Economics at the University of Napoli Federico II. He got an Msc in Public Economics at the University of York (UK). He is research fellow at the Centre for Studies in Economics and Finance (University of Napoli, Bocconi University, University of Salerno) and at the Institute for Research in Economics and Fiscal Issues (IREF, Paris). He was visiting professor at the University of East Anglia (Norwich, UK), the University of Prague (Laboratory for Experimental Economics), and LMU in Munich. 

Assessment:

Multiple choice test

Assignment of a real-life task

 

 

 

ECTS CREDITS: 6 (150 hours)


Total Contact Hours: 60

Supervised Placement/Practice Hours: 30

Self-Study Hours: 34

Assessment Hours: 6



Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    a) Define models of risk taking, time discounting, pro-sociality

    b) Identify psychological factors contributing to decision-making

    c) Describe the neural basis of decision-making

    e) Decision making under uncertainty vs under risk. Risk perception vs risk tolerance




  • Skills

    Applying knowledge and understanding

    The learner will be able to:

    a) Apply the theoretical knowledge acquired to different fields, within and outside psychology (Nudge)

    b) Demonstrate ability to use a variety of academic sources and computerised tools to retrieve and organise information

    c) Understand practical impacts and benefits that behavioural sciences has on economic decision-making processes


    Communication skills

    The learner will be able to:

    a) Review the relevant literature and discuss solutions to applied problems  

    b) Present their work in front of an audience 


    Learning skills

    The learner will be able to:

    a) Evaluate own learning by attending and commenting other students’ presentations  

    b) Reflect on and act upon feedback from the lecturer and other students



    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    a) Critically evaluate academic evidence in support of a specific hypothesis.

    b) Interpret the theory and translate it into real-world situations, understanding the implications.

    c) Argue their position effectively using evidence-based arguments. 

    d) Acquire critical ability to verify financial decision-making through a deep understanding of psychological and physiological determinants



    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The learner will be able to:  

    a) Interact with peers and carry out team work

    b) Present models, results and case studies employing specific terminology and concepts pertaining to Behavioural Economics and Neuroeconomics 

    c) The value of empathy in businesses processes



    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to

    a) Study Behavioural economics and neuroeconomics literature and use their principles and tools to meet the needs of public and private companies. 

    b) Improve the quality of her decision-making process (both in her professional career and in her personal financial planning),


    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to

    a) Carry out tasks and use digital tools pertaining to behavioural economics and cognitive psychology/neuroeconomics.

    b) Learn how to use digital tools to improve the quality of her financial decision-making process




  • Competences

    a) Produce a technical report where the learner will be asked to advise on applied problems based on the module’s content

    b) Present the practical advice on case studies in front of an audience

    c) Comply with the guidelines of technical reports and presentations 

    d) understand the effects of psychological determinants that can influence economic decision-making

BNB06 - NEUROMARKETING

HIGHER EDUCATION COURSE _ MQF LEVEL 7

NEUROMARKETING

 

This module is an introduction to the field of consumer neuroscience and neuromarketing and is intended for students who already have a basic understanding of the concepts of marketing, digital marketing and decision making in the economic field

(see module: D_05. Behavioral economics and Neuroeconomics). The module, starting from the foundations provided by module D_01 (Psychology and neuroscience of behavior) will explore how these principles can be applied to the study of consumer behaviour. Students will learn about the elements of the consumer mind in a real context through neuroscientific methods. The module then enters the world of business to comprehensively understand how marketing strategies can be applied in commercial and social contexts. Not only that, the module presents cases of nudge that can be applied in many sectors of human coexistence. The ultimate goal is to get students used to thinking about business with a new lens and combined methodologies.

Professor: Davide Rigoni Ph.D.

Professor in Neuromarketing and Market Research at the Hult International Business School London (UK). Lecturer at the Vrij University Brussels (B). He was a researcher in the Department of Experimental Psychology at Ghent University (B) and at the University of Marseille (F).


Assessment:

Individual written assignment

Case studies

Multiple Choice Questionnaire

 

 

 

ECTS CREDITS: 8 (200 hours)


Total Contact Hours: 72

Supervised Placement/Practice Hours: 40

Self-Study Hours: 80

Assessment Hours: 8


Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    Starting from the concepts and knowledge of neuroscience introduced in the previous modules (perception, attention, memory, behavioral economics, etc.), the following additional knowledge will be transmitted:

    a) the marketing strategies of companies and other public bodies reinterpreted through the use of behavioral economics concepts;

    b) nudge patterns emerging in the environment and in food;

    c) review of the prejudices existing in the public and private spheres and of the opportunities generated in the field of digital marketing and commercial policies;.






  • Skills

    Applying knowledge and understanding


    The learner will be able to:

    a) Understand how neuroscientific theories relate to neuro-marketing practice. This includes being able to explain the connection between these theories and the techniques used in neuro-marketing, as well as how they inform the development of marketing strategies and campaigns.

    b) Evaluate and implement relevant and appropriate neuromarketing concepts and techniques for different basic business scenarios. This includes assessing which neuromarketing techniques are most appropriate for a given situation and applying them effectively in order to achieve your marketing goals.

    c) Develop simple and effective neuromarketing solutions that take into account potential ethical concerns. This includes being able to identify potential ethical issues that may arise in a given marketing scenario and developing strategies to address them in order to create a plan of action that is both effective and ethical.


    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    a) Identify and analyze common problems in marketing and business scenarios, and develop creative and effective neuromarketing solutions (Problem Solving);

    b) Weigh the pros and cons of different neuromarketing options and choose the most appropriate course of action for a given situation (Decision-Making);

    c) Analyze and evaluate neuromarketing research and techniques to make well-reasoned judgments about their effectiveness and appropriateness for a given business scenario. This includes the ability to think creatively and challenge assumptions about neuromarketing approaches (Critical Thinking).



    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The learner will be able to:  

    a) Work effectively with others in a team setting on simple neuromarketing projects and campaigns;

    b) Present neuromarketing research, findings, and recommendations to a variety of audiences using appropriate tools and techniques;

    c) Effectively communicate neuromarketing concepts and techniques to other professionals and experts in the field.


    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to: 


    a) Analyze the needs of companies and other organizations with respect to branding, positioning, promotional campaigns and returns on advertising investments.

    b) Suggest and implement simple adjustment actions for existing campaigns or services (e.g. transport) to optimize the brand and its economic results. (For example, new ways of requesting payments; attention to the collection of polluting micro-waste; awareness of the consumption of healthy foods; health prevention; etc.).

    c) Use neuromarketing principles to improve the quality of digital marketing communication, and identify and address factors that influence consumer behavior online.


    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The digital skills necessary to conduct marketing research presentations include the ability to create engaging presentations, analyze data, conduct market research, use social media, and understand digital marketing.  In addition to the digital skills from the previous modules the following skills are important to achieve:


    - Visualizing data and research results and ideas (using tools such as PowerPoint, Tableau, Google Data Studio, and infographics), 

    - employing online survey tools (such as SurveyMonkey, Typeform, and Google Forms). 





  • Competences

    It answers the need  to include neuroscientific methodologies in ordinary marketing activities.

    a) Evaluate and give evidence of both past and current traditional and neuro-based marketing concepts. 

    b) Analyze the problems associated with neuro-marketing techniques and the wider social and ethical implications;

    c) Analyze commercial situations and scenarios where neuro-marketing and associated technology might be implemented.

    d) Being able to store data for product launches and be able to remotely verify compliance with the initial tests.


BNB07 - APPLICATIONS OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE 

HIGHER EDUCATION COURSE _ MQF LEVEL 7

APPLICATIONS OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE 

 

This module will introduce basic concepts of machine learning (e.g., general types of problems, such as categorization, regression, cluster, anomaly detection, and NLP), and will provide indications for the use of open source and low code software. Students will be presented with the analysis of data related to brain functioning and human behaviour in a marketing and organizational key (e.g., machine learning for intelligent customer profiling, recommender systems, machine learning for job candidates’ screening, help companies to make the most of their data to "owners" to improve the working conditions of their staff). The current GDPR legislation and the one soon to be introduced at the European level will also be studied. This last part is connected to the neuroethics section. 

Professor: Merilyn Monaro Ph.D

She is assistant professor at the department of General Psychology, University of Padova.. She received her Ph.D. in Brain, Mind a Computer Science from the same university. Thanks to the interdisciplinary nature of the Ph.D. program and the established collaborations, she developed several research lines concerning topics between social and behavioral psychology and computer science technologies, especially artificial intelligence. Most of her works are related to the application of machine learning to understand human behavior. She published more than 40 papers in international peer review journals and conferences. Her works have about 1000 citations in Scholar.

Assessment:

Assignments (practical task) and group presentations

 

 

 

ECTS CREDITS: 6 (150 hours)


Total Contact Hours: 40

Supervised Placement/Practice Hours: 45

Self-Study Hours: 60

Assessment Hours: 5


Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    a) Basic concepts of machine learning

    b) Application of Machine Learning to cognitive science and neuroscience to predict customer behaviour 

    c) Decision models for data driven marketing

    c) Application of machine learning to improve organization at the human resources level






  • Skills

    Applying knowledge and understanding

    The learner will be able to:

    a) understand which methods and tools to use to carry out data analysis projects

    b) carry out experiments and projects using open source data

    c) identify the correct relationships between data and present the results



    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.

    The learner will be able to:  

    a) Perform critical evaluations in analysis of data 

    b) Perform analysis with limited information


    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)

    The learner will be able to:  


    a) Communicate with a specialized and non-specialized audience

    the results of studies and research relating to the AI and machine learning




    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to

    a) carry out simple studies applying machine learning 

    b) Organize communication campaigns taking into account the impact of AI and machine learning on behavioural data and brain data.


    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to


    a) understand the use of machine learning low code software 




  • Competences

    a) Use low code software that allow for data analysis

    b) Complete simple projects aimed at solving the most common digital marketing and human resources problems starting from the correct use of data.


BNB08 - NEUROETHICS

HIGHER EDUCATION COURSE _ MQF LEVEL 7

NEUROETHICS

 

Neuroethics is a recent discipline that focuses on the ethical, legal, and social implications of neuroscientific research. The latter has developed very rapidly in the last few decades. The new knowledge about the brain and the possibilities of intervening in it require specific skills and rules so that scientific progress is always at the service of the human being. This module aims to introduce the field of neuroethics; to provide the tools to be able to assess the ethical implications of neurotechnologies and their use; and to know how to deal with possible conflicts and dilemmas related to the application of neuroscience in business and society.

Professor: Giuseppe Sartori.

Full professor in Cognitive Neuroscience, Forensic Neuropsychology, Data Science at University of Padova. He is Director of PhD Program in Brain, Mind & Computer Science at the same university. He published more than 200 papers and book chapters in peer-reviewed national/international journals including Journal of Cognitive Neuroscience, Cognitive Neuropsychology, Brain and Cognition, Brain and Language, Journal of Memory and Language, Neuropsychology, Neuroimage. His works have more than 6000 citations

 

Assistant Professor: Andrea Lavazza.

He is adjunct professor of Neuroethics at the University of Milan and the University of Pavia and senior research fellow in Neuroethics at Centro Universitario Internationale, Italy. His research interests focus on the intersection of moral philosophy, cognitive neuroscience, and new technologies including AI. He has published or edited 12 books (both in Italian and English) and over 100 papers in international peer-reviewed journals.

Assessment:

Assignments (practical task) and group presentations

 

 

 

ECTS CREDITS: 4 (100 hours)


Total Contact Hours: 22

Supervised Placement/Practice Hours: 26

Self-Study Hours: 44

Assessment Hours: 6


Single Course Scholarship Tuition Fee

900 EUR


Course Learning Outcomes


  • Knowledge

    a) The basic neuroethical concepts and theories;

    b) The basic requirements for produce sound arguments in the field.

    c) The notions implied in addressing a neuroethical issue not dealt with yet.







  • Skills

    Applying knowledge and understanding

    The learner will be able to:

    a) The capacity of singling out neuroethical issues in each relevant domainb) d) The capacity of considering all the interests involved in the situation

    c) The capacity of devising the proper solutions

    d) The capacity of implementing theoretical notions into practice




    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    a) understand relevant domains in which neuroethics is needed

    b) assess potential ethical issues and frame them appropriately

    c) critically judge controversial scenarios and dilemmas

    d) intervene accordingly based on the previous skills and abilities



    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The learner will be able to:  


    a) have positive interactions in relevant situations

    b) signal the presence of potential ethical issues

    c) have the capacity to engage with those issues when it is needed

    d) mediate between different stakeholders and interests



    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The learner will be able to


    a) develop an ethical sensitivity

    b) have the capacity to convey that capacity 

    c) acquire the ability to adapt received  theories to new situations

    d) change problematic situations bases on her/his skills



    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to


    a) understand (and use) all digital devices involved in the discipline

    b) foresee potential privacy leaks related to digital devices

    c) foresee potential misuses or abuses committed via digital devices

    d) devise interventions so to avoid those misuses






  • Competences

    a) know what the ethical issues are concerning neuroscience and neurotechnologies;

    b) assess potential ethical issues based on neuroethical tools;

    c) explain why considering ethical issues is relevant in every context;

    d) decide on potential ethical conflicts or dilemmas.



BNB09 - FINAL WORK

Post Graduate Diploma in Behavioral Neuroscience for Business

FINAL WORK - CASE STUDY

 

For the final work, each student will have to present a Case Study. The Case Study allows to analyze a particular phenomenon or problem without dealing, as happens in academic research, with the generalization of the results to an entire population. A case or an essay on a topic of interest to the student can therefore be interesting and acquire value in itself.

In the case study, students will be able to combine both the knowledge and skills acquired also in terms of the use of neurotechnologies and quantitative methods to demonstrate the goodness of learning.

The development of a case then allows you to plan your own working future and already provides the student with initial feedback on the level of knowledge acquired and the effective ability to be able to complete projects to resolve practical issues at a business level.

For the preparation of the case, the student will employ logics, strategies, approaches and tools that will be informative in terms of skills that can be used at a professional level. 

Professors:

For the preparation of the case study, a professor and tutor will be available to facilitate the work of the students. The tutor will be available throughout the project. The preparation of the case study can be started from the second semester, after the completion of the modules of the first semester. In this way, the 150 hours provided for the preparation of the final case study can be supported by the teaching staff and appointed tutors.

Assessment:

The case study should demonstrate the student's mastery of the concepts covered in the course.

Objective of the case study: to show the student's ability to apply the concepts and what has been learned, in terms of methodology explicated in many cases, in a real scenario. 

The case study is presented by the student in written form (text) or as a presentation (power point) and should include a detailed analysis of the context, the problem, the solution and the results achieved.

The ad hoc-appointed Examination Board (final examiners) may evaluate the case study based on the student's understanding of the course material, critical thinking skills, and ability to communicate ideas effectively and answer any questions from examiners.

ECTS CREDITS: 6 (150 hours)


Total Contact Hours: =

Supervised Placement/Practice Hours: 25

Self-Study Hours: 120

Assessment Hours: 5


Accessible only to students enrolled in the full programme



Course Learning Outcomes


  • Knowledge

    The work at the end of the course must demonstrate multidisciplinary mastery of the theoretical and practical knowledge developed in the program.







  • Skills


    Applying knowledge and understanding

    The learner will be able to:


    - be able to use evaluation and intervention processes of neuroscience applied to the business



    Judgment Skills and Critical Abilities 

    This section has been made sufficiently open to accommodate both vocational and academic orientations. Applicants can refer to Judgement Skills, or Critical Abilities (critical skills, dispositions, values and actions), or both.


    The learner will be able to:  

    - conduct a case study with the design hypothesis (a problem to be solved within the business) 

    - describe how to solve the problem (the desired results),

    - identify how the existing literature has treated the problem or similar cases

    - motivate the choice of measuring instruments for the realization of the case study (highlighting the benefits, costs, limitations)

    - critically analyze the results achieved, weighing the pros and cons,

    - provide a final judgment of the proposed solution in terms of feasibility.

    Module-Specific Communication Skills 

    (Over and above those mentioned in Section B)


    The final presentation must demonstrate the student's mastery in communicating the project, its aims and related research in a clear and effective way


    Module-Specific Learner Skills

    (Over and above those mentioned in Section B)


    The final project (Case Study) must contain the development hypotheses related to professional interests and further specializations useful to the student;



    Module-Specific Digital Skills and Competences

    (Over and above those mentioned in Section B)


    The learner will be able to:

    use available digital technologies (e.g. digital marketing platforms, open source Machine Learning platforms, eye movement and emotion analysis platforms) for the study.




  • Competences

    The student presenting a case must be able to

    - autonomously choose a topic or problem within their reach and justify the criteria used in the choice,

    - consider how the case has been solved so far in the business and what is the added value you want to provide with the research activities

    - demonstrate mastery of the research tools that will be used

    - plan work and use research tools to provide workable solutions

    - collect data to demonstrate the usefulness of the solution

    - analyze the data or information coming from studies on the subject and which can be generalised

    - present the results by combining qualitative and quantitative aspects in the report

    - cite relevant literature, if used.



Online Application

Post Graduate in Behavioral Neuroscience for Business

under the conditions of the reduced scholarship. 

I would like to receive an e-mail with all the information and conditions to be able to evaluate a possible application.


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