Overview
The Finance - AI and 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.
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 Tilburg University 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.
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 AI and Data Science track educates future finance professionals who work on the threshold between finance, AI 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
Get more details
Visit programme websiteProgramme Structure
Courses include:
- AI and Data Science Methods in Finance
- AI and Data Science Applications in Finance
- Asset Allocation & Sustainable Investing
- Derivative Securities
- Financial Statement Analysis & Valuation
- Fixed Income Analysis
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
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- Starting
- Apply before , International
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Language
Credits
Delivered
Campus Location
- Tilburg, Netherlands
Disciplines
Finance Risk Management Data Science & Big Data View 52 other Masters in Data Science & Big Data in NetherlandsExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
You must have a solid academic basis in the following areas in order to qualify for the Master's in Finance:
- Mathematics and Statistics
- Economics, including Microeconomics
- Accounting
- Finance
- Academic training
- It is compulsory for this program to submit your GMAT score.
- You need to demonstrate proficiency in English
Make sure you meet all requirements
Visit programme websiteTuition Fees
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International Applies to you
Applies to youNon-residents19900 EUR / year≈ 19900 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2695 EUR / year≈ 2695 EUR / year
Living costs
Tilburg
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Finance - AI and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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