Study Program Master Data Science

Study program MSc Data Science and Entrepreneurship

A two-year master’s program combining the theory and practice of data science & business

Combining the technological know-how of Eindhoven University of Technology (TU/e) with the business, legal and societal insights of Tilburg University (TiU), the program draws on the best in theory and practice from two leading Dutch universities. The master’s program in Data Science & Entrepreneurship is designed to shape you into an all-round data scientist. You will acquire the skills that you need to order to find solutions to business and societal problems – that means passing through the Curriculum entire cycle, from approaching a problem from a data analysis perspective to implementing an appropriate data science solution, while at the same time taking account of its potential legal and social implications.

The program

Each year of this two-year master’s program is divided into two semesters. The first runs from September to January, and the second from February to July. Each semester consists of a series of courses, followed by an examination period lasting two to three weeks. The program is divided into the following components:

  • 10 compulsory courses (60 ECTS)
  • Three restricted elective courses in the first year (18 ECTS)
  • One elective course in the second year (6 ECTS)
  • A minor program (12 ECTS)
  • A master’s thesis (24 ECTS)

You will be required to choose a minor program consisting of two courses each worth 6 EC. You are also required to take three compulsory courses and one elective courses in addition to this minor program. The master’s thesis is completed during the second year.

study program

Compulsory courses

See the course descriptions for more detailed information on the compulsory courses

Year one

Semester 1

  • Data Entrepreneurship in Action I
  • Data Mining
  • Data Engineering
  • Strategy and Business Models
  • Social Network Analysis for Data Scientists

Semester 2

  • Data Entrepreneurship in Action II
  • Interactive and Explainable AI Design

Year 2

Semester 1

  • Data Entrepreneurship in Action III
  • Intellectual Property and Privacy
  • Master thesis

Semester 2

  • Data Ethics and Entrepreneurship
  • Master Thesis

partner up with JADS

Elective courses

Electives first year

You choose three elective courses from the following options in the second semester of your first year:

  • Advanced Data Architecture
  • Casual Inference for Business Development*
  • Deep Learning
  • Entrepreneurial Finance*
  • Prescriptive Algorithms

*at least one has to be chosen

Electives second year

You choose one of the following minor programs in your second year:

1. Minor Agrifood

  • Data-Driven Food Value Chain (fall)
  • Servitization and Data-Driven Innovation (spring)

2. Minor Crime & Safety

  • Cybersecurity (fall)
  • Data Forensics (spring)

3. Free minor

Consisting of two courses in the minor programs or two elective courses from the second year or from the second semester of the first year

 

You also choose one further elective course from the following options in your second year:

  • Super Crunchers
  • Real-Time Process Mining
  • Natural Language Processing
  • Data Visualization

 

Ruward Karper explains what his experience with the Master is

Academic year calendar

Check out the calendar for the academic year 2021-2022.

Year Calendar 2021-2022

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