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Master
Psychology: Behavioural Data Science (track)
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Study programme

The goal of the programme is to equip you with in-depth knowledge of relevant big data and statistical learning techniques, psychological measurement, along with a broad set of practical skills so that you can successfully start a career in data science. The programme contains three mandatory courses (18 EC), one or two elective courses (6 EC), a client consultancy case (group project; 3EC), one external individual internship (15 EC) and a thesis (18 EC).

Study programme

Semester 1

The teaching programme consists of two terms. In the first term, from September to the end of December, you will take four courses of 6 ec each: 

Semester 2

The second term, which lasts from January to the end of June, you will start with the Internship Data-Driven Consultancy. This consists of two parts. The first part is a consultancy project for a real client, this part is offered in January. For the second part, students need to participate a few times as a consultant in the Methodology Shop. The office hours are spread over the whole year, and students will be scheduled beforehand. 

The rest of January and Semester 2 are dedicated to the Master’s Internship Behavioural Data Science (15 EC) and the Master’s Thesis Behavioural Data Science (18 EC). 

COURSES SEM 1 SEM 2 SEMESTER 1 SEMESTER 2 EC
  • Behavioural Data Science Toolbox
    6
  • Big Data Analytics
    6
  • Psychometrics
    6
  • Internship Data-Driven Consultancy
    3
  • Master’s Internship Behavioural Data Science
    18
  • Master’s Thesis Behavioural Data Science
    18
  • Restricted-choice electives: Behavioural Data Science
    6
See more information in the course catalogue

Additional options

Internship and thesis

The purpose of the thesis (18 EC) is to answer a scientific question relating to behavioural data science. It is possible to combine the external internship and the thesis into one project (36 EC).

During the Internship Data-Driven Consultancy (3 EC), you will carry out a real-life data science project under supervision, and you will serve as an advisor to fellow students regarding questions about research methodology and statistics.

During the main external internship (15 EC), you will work for a company or (public) institution and gain experience in applying your acquired knowledge and skills to real-life challenges. You are encouraged to find and organise the external internship independently, but we also host a yearly internship event in collaboration with Amsterdam Data Science.

Electives

The programme reserves 6 EC for electives. In Semester 1, block 2, you can choose 1 out of the following two electives: Network Analysis or Deep Learning in Python . More info can be found in the course catalogue.