Study Schedule

Why study Business Data Science?
Research Master
- Program Outline
- Study Schedule
- Courses
- Matching with a thesis supervisor
- Alumni
Admissions
Course Registration
Facilities

Study schedule Research Master Business Data Science

Study schedule 2024-2025 for year one

Block Course Code Course Name Credits

0 TIC10001 Introduction Day 0

0 TIC10002
TIC10003 Fundamentals of Linear Algebra
Refresher Course Principles of Programming in Econometrics 0

1-5 TIC10005 Business Foundations 1

1 TIC10011 Scientific Ethics for students 0

1 TIC10050
TIC10051 Fundamental Mathematics or
Advanced Mathematics 4

1 TIC10052
TIC10053 Statistics or
Asymptotic Statistics 4

1 TIC10300 Decision Theory for Business 4

2 TIC10040
TIC10041 Econometrics I or
Advanced Econometrics I 4

2 TIC10200
TIC10201 Machine Learning I or
Advanced Machine Learning 4

2 TIC10202 Parallel Computing and Big data 3

3 Choose track:
Quantitative Finance Track
Management Science Track
Operation Research Analytics track

3 TIC10042
TIC10043 Econometrics II or
Advanced Econometrics II 4

3 TIC10203
TIC10204 Machine Learning II or
Reinforcement Learning 4

3 Track specific elective: see below 4

4 TIC10044
TIC10045 Econometrics III or
Advanced Econometrics III 4

4 TIC10207 Simulation Analysis & Optimization 4

4 TIC10208 Deep Learning 4

5 TIC10210 Natural Language Processing 4

5 T TIC10405 Research Internship/elective 4

5 Track-specific field course 4

Block	Course Code	Course Name	Credits
0	TIC10001	Introduction Day	0
0	TIC10002 TIC10003	Fundamentals of Linear Algebra Refresher Course Principles of Programming in Econometrics	0
1-5	TIC10005	Business Foundations	1
1	TIC10011	Scientific Ethics for students	0
1	TIC10050 TIC10051	Fundamental Mathematics or Advanced Mathematics	4
1	TIC10052 TIC10053	Statistics or Asymptotic Statistics	4
1	TIC10300	Decision Theory for Business	4
2	TIC10040 TIC10041	Econometrics I or Advanced Econometrics I	4
2	TIC10200 TIC10201	Machine Learning I or Advanced Machine Learning	4
2	TIC10202	Parallel Computing and Big data	3
3		Choose track: Quantitative Finance Track Management Science Track Operation Research Analytics track
3	TIC10042 TIC10043	Econometrics II or Advanced Econometrics II	4
3	TIC10203 TIC10204	Machine Learning II or Reinforcement Learning	4
3		Track specific elective: see below	4
4	TIC10044 TIC10045	Econometrics III or Advanced Econometrics III	4
4	TIC10207	Simulation Analysis & Optimization	4
4	TIC10208	Deep Learning	4
5	TIC10210	Natural Language Processing	4
5	T TIC10405	Research Internship/elective	4
5		Track-specific field course	4

Students choose a track before block 3. Tracks are:

Track-specific field courses year 1 Quantitative Finance

Block Course Code Course Name Credits

3 TIC10301 Asset Pricing 4

5 TIF10009
TIF10011
TIF10010 Two of the following courses: Empirical Asset Pricing
Empirical Corporate Finance
Market and Systemic Risk Management 8

Block	Course Code	Course Name	Credits
3	TIC10301	Asset Pricing	4
5	TIF10009 TIF10011 TIF10010	Two of the following courses: Empirical Asset Pricing Empirical Corporate Finance Market and Systemic Risk Management	8

Track-specific field courses year 1 Management Science track

Block Course Code Course Name Credits

3 TIF10205
TIF10400
TIF10403 One of the following courses: Experimental Research (ABRI)*
Research Hackathon
Research Internship 4

5 TIF10206
TIF10320
TIF10209
TIF10321 Two of the following courses: Marketing Research with Purpose (ABRI)*
Theoretical Foundations of Entrepreneurship and Strategy (ABRI)*
Theoretical Perspectives on Digital Innovation (ABRI)*
Contemporary Issues in Organizational Behavior and Human Resource Management (ABRI)* 8

* The Amsterdam Business Research Institute of the Vrije Universiteit Amsterdam (ABRI), offers PhD education in Business and Management. The schedule for ABRI courses differs from the schedule used in the Business Data Science curriculum. Please check the ABRI webpage for the schedule for 2024-2025 and to register for the courses.

Block	Course Code	Course Name	Credits
3	TIF10205 TIF10400 TIF10403	One of the following courses: Experimental Research (ABRI)* Research Hackathon Research Internship	4
5	TIF10206 TIF10320 TIF10209 TIF10321	Two of the following courses: Marketing Research with Purpose (ABRI)* Theoretical Foundations of Entrepreneurship and Strategy (ABRI)* Theoretical Perspectives on Digital Innovation (ABRI)* Contemporary Issues in Organizational Behavior and Human Resource Management (ABRI)*	8

Track-specific field courses year 1 Operation Research Analytics track

Block Course Code Course Name Credits

3 TIF10400
TIF10403
One of the following courses: Research Hackathon
Research Internship 4

5 TIF10211
TIF10405

Both of the following courses: Integer Linear Programming
Research Internship 8

Block	Course Code	Course Name	Credits
3	TIF10400 TIF10403	One of the following courses: Research Hackathon Research Internship	4
5	TIF10211 TIF10405	Both of the following courses: Integer Linear Programming Research Internship	8

Study schedule 2024-2025 for year two

Block Course Code Course Name Credits

1+2+3 Track-specific field courses, electives and research internships (internships max 6 cr) 24

2 TIC20117 Bayesian Econometrics 3

1/2/3 TIC20012 Academic Writing 1

1/2/3 TIC20011 Skills Course I: Academic Integrity 1

1/2/3 TIC20013 Presenting in Academia 1

3+4+5 TIC20899 Research Master Thesis 30

Block	Course Code	Course Name	Credits
1+2+3		Track-specific field courses, electives and research internships (internships max 6 cr)	24
2	TIC20117	Bayesian Econometrics	3
1/2/3	TIC20012	Academic Writing	1
1/2/3	TIC20011	Skills Course I: Academic Integrity	1
1/2/3	TIC20013	Presenting in Academia	1
3+4+5	TIC20899	Research Master Thesis	30

Quantitative Finance track (field-specific courses Y2) Electives can be selected from (also see list below):

Block Course Code Course Name Credits

1 TIF20102 Banking 3

1 TIF20107 Continuous Time Asset Pricing 3

1 TIF20100 Public Finance 3

1 TIF20101 Dynamic Corporate Finance 3

2 DHP-QF Quantitative Investments 2 (VU course) 3

2 TIF20121 Law, Economics and Organizations 3

3 TIF20302 Corporate Finance Theory 3

4 TIF20124 Sustainable Finance 3

4 TIF10007 Financial Frictions in Macroeconomics 3

Management Science track (mandatory field-specific courses Y2)

Management Science track (mandatory field-specific courses Y2)

Block Course Code Course Name Credits

1 TIF20212 Marketing Science 3

1 TIF20213 AI@Work 3

1 TIF20303 Social Network Analysis 3

2 TIF20112 Social Media Data Analytics for Business 3

Other field courses can be selected from the Electives list below.

Block	Course Code	Course Name	Credits
1	TIF20102	Banking	3
1	TIF20107	Continuous Time Asset Pricing	3
1	TIF20100	Public Finance	3
1	TIF20101	Dynamic Corporate Finance	3
2	DHP-QF	Quantitative Investments 2 (VU course)	3
2	TIF20121	Law, Economics and Organizations	3
3	TIF20302	Corporate Finance Theory	3
4	TIF20124	Sustainable Finance	3
4	TIF10007	Financial Frictions in Macroeconomics	3

Block	Course Code	Course Name	Credits
1	TIF20212	Marketing Science	3
1	TIF20213	AI@Work	3
1	TIF20303	Social Network Analysis	3
2	TIF20112	Social Media Data Analytics for Business	3

Operation Research Analytics track (mandatory field-specific courses Y2)

Block Course Code Course Name Credits

1 TIF20304 Decomposition Methods 3

1 TIF20305 Heuristic Optimization Methods 3

1 TIF20303 Social Network Analysis 3

2 TIF20112 Social Media Data Analytics for Business 3

3 TIF20123 Forecasting Methods 3

Other field courses can be selected from the Electives list below.

Block	Course Code	Course Name	Credits
1	TIF20304	Decomposition Methods	3
1	TIF20305	Heuristic Optimization Methods	3
1	TIF20303	Social Network Analysis	3
2	TIF20112	Social Media Data Analytics for Business	3
3	TIF20123	Forecasting Methods	3

Note that courses may be cancelled in case there are fewer than five registered students. 

Electives can be selected among our list of field courses below, or among the external courses offered by LNMB, ABRI, ERIM or MasterMath. Advanced first year courses can be taken as a field course in year two for 3 EC.

Electives available in 2024-2025

Electives for year two available in 2024-2025

Block Course Code Course Name Credits

1 TIF20106 Applied Microeconometrics 3

1 TIF20213 AI@Work 3

1 TIF20218 Machine Learning in Finance (ESE, code FEM21045) 3

1 TIF20212 Marketing Science 3

1 T TIF20401 Research Internship I 3

1 TIF20303 Social Network Analysis 3

1 TIF20102 Banking 3

1 TIF20107 Continuous Time Asset Pricing 3

2 TIF20133 Econometrics of Networks 3

2 TIF20111 Computational Finance (UvA, code 6314M0350Y) 3

2 TIF20403 Research Internship II 3

2 TIF20112 Social Media Data Analytics 3

3 TIF20126 Advanced Time Series Econometrics 3

3 TIF20123 Forecasting Methods 3

3 TIF20204 Reinforcement Learning 3

3 TIF20129 Behavioural Finance 3

4 TIF20124 Sustainable Finance 3

4 TIF20302 Corporate Finance Theory 3

5 TIF20797 BDS Lecture (TBA) 3

5 TIF20404 Field Paper 3

5 TIF20798 TI Economics Lecture (Peter Hull, Design-based causal identification with regression and IV). 3

tba TIF20799 TI Econometrics Lecture (Isaiah Andrews (MIT) 3

Block	Course Code	Course Name	Credits
1	TIF20106	Applied Microeconometrics	3
1	TIF20213	AI@Work	3
1	TIF20218	Machine Learning in Finance (ESE, code FEM21045)	3
1	TIF20212	Marketing Science	3
1	T TIF20401	Research Internship I	3
1	TIF20303	Social Network Analysis	3
1	TIF20102	Banking	3
1	TIF20107	Continuous Time Asset Pricing	3
2	TIF20133	Econometrics of Networks	3
2	TIF20111	Computational Finance (UvA, code 6314M0350Y)	3
2	TIF20403	Research Internship II	3
2	TIF20112	Social Media Data Analytics	3
3	TIF20126	Advanced Time Series Econometrics	3
3	TIF20123	Forecasting Methods	3
3	TIF20204	Reinforcement Learning	3
3	TIF20129	Behavioural Finance	3
4	TIF20124	Sustainable Finance	3
4	TIF20302	Corporate Finance Theory	3
5	TIF20797	BDS Lecture (TBA)	3
5	TIF20404	Field Paper	3
5	TIF20798	TI Economics Lecture (Peter Hull, Design-based causal identification with regression and IV).	3
tba	TIF20799	TI Econometrics Lecture (Isaiah Andrews (MIT)	3

Sudents who want to take external courses for credits need permission from the Examination Board (see below).

Students are strongly advised to complete all modules of the program before the end of the second academic year (i.e. within 24 months). Any extension beyond August 31 complicates the matching to PhD employment positions and involves the payment of tuition fees for (part of) the third academic year.

> Matching with a thesis supervisor

Study Schedule

Study schedule Research Master Business Data Science

Study schedule 2024-2025 for year one

Study schedule 2024-2025 for year one

Students choose a track before block 3. Tracks are:

Track-specific field courses year 1 Quantitative Finance

Track-specific field courses year 1 Quantitative Finance

Track-specific field courses year 1 Management Science track

Track-specific field courses year 1 Management Science track

Track-specific field courses year 1 Operation Research Analytics track

Track-specific field courses year 1 Operation Research Analytics track

Study schedule 2024-2025 for year two

Study schedule 2024-2025 for year two

Study schedule 2024-2025 for year two

Quantitative Finance track (field-specific courses Y2) Electives can be selected from (also see list below):

Quantitative Finance track (field-specific courses Y2) Electives can be selected from (also see list below):

Management Science track (mandatory field-specific courses Y2)

Management Science track (mandatory field-specific courses Y2)

Operation Research Analytics track (mandatory field-specific courses Y2)

Operation Research Analytics track (mandatory field-specific courses Y2)

Electives available in 2024-2025

Electives for year two available in 2024-2025

Electives for year two available in 2024-2025