Finance: Data Science

1 year English Starts end of August

Become a finance professional who works on the threshold between finance and data science. Collecting and analyzing data is of great importance in the financial sector as it tries to predict market changes to make the best investments and gain a competitive advantage. The Data Science track of MSc Finance prepares you for a career as a financial data scientist who not only knows about collecting, mining, and making sense of data, but is also an industry expert with in-depth financial knowledge.

#50

worldwide in Finance

Shanghai Global Ranking of Academic Subjects, 2023

#61

worldwide in Accounting & Finance

QS World University Rankings, 2024

90%

of our alumni is (very) satisfied with the program

National Alumni Survey, 2021 | n=29 (MSc Finance)

Program and courses

The program prepares you to excel in the dynamic and data-driven finance industry by combining advanced data analytics techniques with specialized financial expertise.

Gain in-depth knowledge of the financial domain and get familiar with the latest more specialized data analysis techniques.
Develop your skills to structure sheer amounts of information that is collected by de finance industry in such a way that conducting analysis is possible and can be interpreted in a sensible way. This is a challenge in all subfields of finance, for example Mergers & Acquisitions, Investments, Trading and Banking and it typically requires much greater skills than a standard data analyst.
The program is taught by teachers with very good teaching evaluations. The teachers are some of the world's leading finance academics. Many teachers in the program have been awarded Excellent Teacher awards.

Typical courses are:

Data science Methods in Finance
Finance Applications in Data Science

Career prospects

As a Master of Science in Finance you are equipped with a profound knowledge framework in business and specialized knowledge in financial management or investment analysis. The Data Science track educates future finance professionals who work on the threshold between finance and data science. Rather than simply collecting, mining, and making sense of data (like data analysts) financial data scientists are industry experts with specialist, in-depth financial domain knowledge. The areas they work in are for example risk management, (algorithmic) trading and investing and mergers & acquisitions guidance.

Some examples of jobs you can expect:

Financial Data Scientist
Risk Manager
Financial Consultant

Alumni facts

Gross monthly income one year after graduation: €3,166
Is (very) satisfied with the Master's program: 90%
Average number of months between graduation and first job: 2,6 months

Source: National Alumni Survey, 2021| n=29

~~More on your career prospects~~

Students on campus enjoying the good weather

Application and admission

This Master’s program starts:

End of August

Best preparatory programs:

BCs Bedrijfseconomie
BCs Business Economics
BCs Bedrijfskunde
BCs (International) Business Administration
BCs Economics and Business Economics
BCs Economie en Bedrijfseconomie
BCs International Business

Pre-Master’s program:

Open to both university graduates and Dutch HBO graduates.

Tuition fees and scholarships

International students find the information about the tuition fees and the scholarships available here.

Interested in this Master’s program?

Check your eligibility

More information on this Master's program

Create your own e-brochure with information on program content, admission requirements, career prospects, and student life in Tilburg. Throughout the year you can take part in various types of events: on-campus, abroad or online.

All information in one e-brochure

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