Tinbergen Institute's Research Master Business Data Science offers a broad range of elective short courses for externals.
The deadline for registration is four weeks before the start of the course. Late applications will incur a fee of 100 euro.
All regular courses are taught in eight-week blocks, with lectures held during the first six (core courses) or seven weeks. The eighth week of each block typically serves as the exam week. In addition, first-year (core) courses have weekly one-hour tutorials taught by a teaching assistant, during which students work on and discuss homework assignments.
| Block 0 | Aug 25 -29 | Introduction and refresher courses |
| Block I | Sept 1 – Oct 17 | Lectures |
| Oct 20 -24 | Exams | |
| Block II | Oct 27 - Dec 12 | Lectures |
| Dec 15 - 19 | Exams | |
| Dec 20 - Jan 4 | Christmas Holidays | |
| Block III | Jan 5 - Feb 20 | Lectures |
| Feb 23 - 27 | Exams | |
| Block IV | Mar 2 - Apr 17 | Lectures |
| Apr 20 - 24 | Exams | |
| Block V | Apr 27 - July 10 | Lectures and Exams |
Tinbergen Institute's research master students register for courses via the registration mode in Osiris student.
If you would like to register for our Lecture Series in Economics or Econometrics, click here.
Tinbergen Institute's research master graduates working as PhD students at one of the partner schools* are welcome to participate in field courses during the later years of their studies. Registration for courses is required: please fill out the registration form. No fees will be charged.
PhD students from our partner schools*, are encouraged to attend courses from Tinbergen Institute’s Research Master program. Enrollment is subject to approval by the Director of Graduate Studies, who checks if the prior knowledge of the student meets the entry requirements for the course. To register, complete the registration form.
The fees are 1.000 euro for core courses and 750 euro for field courses and will be charged to the student's school.
PhD students from our partner schools can obtain the Tinbergen Institute Research Qualification by completing a concise set of courses from the research master’s programs. Find out more below:
PhD students not affiliated to our partner schools* are welcome to attend our courses. Enrollment is subject to approval by the Director of Graduate Studies, who checks if the prior knowledge of the student meets the entry requirements for the course. Capacity restrictions apply to all courses, and may be particularly relevant for core courses.
PhD students working primarily outside of academic institutions fall into the *Professionals and Other Participants* category.
To register, complete the registration form.
The fees are 1.500 euro for core courses and 1.000 for field courses.
If you would like to register for our Lecture Series in Economics or Econometrics, click here.
Please sign up four weeks before the start of the block. Late applications will incur an additional fee of 100 euro.
*TI partners are: School of Business and Economics/ABRI (Vrije Universiteit Amsterdam), School of Economics and Business/Amsterdam Business School (University of Amsterdam) and Erasmus School of Economics (Erasmus University Rotterdam).
Professionals are welcome to attend our courses. Enrollment is subject to approval by the Director of Graduate Studies, who checks if the prior knowledge of the applicant meets the entry requirements for the course.
Capacity restrictions apply to all courses, and may be particularly relevant for core courses. To register, complete the registration form. Please include a transcript of relevant earlier coursework (with grades).
The fees are 2.000 euro for core courses and 1.500 euro for field courses.
If you would like to register for our Lecture Series in Economics or Econometrics, click here.
Please sign up four weeks before the start of the block. Late applications will incur an additional fee of 100 euro.
The course list below is organized by subject area and indicate in which block the course will take place. Courses take place in either Amsterdam or Rotterdam, or in both locations.
| Course | Type | Period |
| Decision Theory for Business | Core | 1 |
| AI@Work | Field | 1 |
| Marketing Science | Field | 1 |
| Social Network Analysis | Field | 1 |
| Social Media Data Analytics | Field | 2 |
| Course | Type | Periode |
| Simulation Analysis & Optimization | Core | 4 |
| Decomposition Methods | Field | 1 |
| Heuristic Optimization Methods | Field | 1 |
| Integer Linear Programming | Field | 5 |
| Course | Type | Period |
| Asset Pricing | Core | 3 |
| Corporate Finance Theory | Core | 4 |
| Risk and Rationality | Field | 1 |
| Banking | Field | 1 |
| Continuous Time Asset Pricing | Field | 1 |
| Dynamic Corporate Finance | Field | 1 |
| Behavioral Finance | Field | 3 |
| Sustainable Finance | Field | 4 |
| Empirical Asset Pricing | Field | 5 |
| Empirical Corporate Finance | Field | 5 |
| Course | Type | Period |
| Machine Learning 1 | Core | 2 |
| Advanced Machine Learning | Core | 2 |
| Machine Learning 2 | Core | 3 |
| Reinforcement Learning | Core | 3 |
| Deep Learning | Core | 4 |
| Natural Language Processing | Core | 5 |
| Parallel Computing and Big data | Field | 2 |
| Course | Type | Period |
| Fundamental Mathematics | Core | 1 |
| Advanced Mathematics | Core | 1 |
| Statistics | Core | 1 |
| Asymptotic Statistics | Core | 1 |
| Econometrics I | Core | 2 |
| Advanced Econometrics I | Core | 2 |
| Econometrics II | Core | 3 |
| Advanced Econometrics II | Core | 3 |
| Econometrics III | Core | 4 |
| Advanced Econometrics III | Core | 4 |
| Applied Macroeconometrics | Field | 1 |
| Applied Microeconometrics | Field | 1 |
| Advanced Microeconometrics | Field | 2 |
| Econometrics of Networks | Field | 2 |
| Bayesian Econometrics | Field | 2 |
| Forecasting Methods | Field | 3 |
| Advanced Time Series Econometrics | Field | 3 |
| Market and Systemic Risk Management | Field | 5 |
| Course | Type | Period |
| AI Agents in Economics and Business Research | Workshop | 4 |
| TI Econometrics Lectures 2026 | Field | 5 |
| TI Economics Lectures 2026 | Field | 5 |
| Course | Type | Period |
| Scientific Integrity (contd. Block II and III) | Core | 2 & 3 |
| Academic Writing (contd. Block II and III) | Core | 2 & 3 |
| Presenting in Academia (contd. Blocks IV-V) | Core | 4 & 5 |
The Course Catalogue on the website of Erasmus University Rotterdam provides information on course description, study materials, entrance requirements, and period course taking place.