Overview
Do you always trust AI? You’re likely aware that data applications can backfire when it comes to privacy, legislation, energy use, or societal impact. Here, you’ll learn to embed reliability, ethics, responsibility, and proactive risk management into your designs from the very start. We call this responsible data science by design.
The MSc in Responsible Data Science is about more than just technical skills. It’s about making informed choices: How do you prevent bias in algorithms? How do you protect privacy? And how can data be used to create a better world? In this master’s, you’ll combine technical expertise with ethical, legal, and societal insights. You’ll build safer applications with transparent algorithms and safeguards to correct errors. You’ll become the data scientist the world needs! Responsible Data Science is offered at Maastricht University.
Career:
Data scientists with ethical and legal expertise are in high demand. Potential roles include:
- Data Ethicist (e.g., at big tech, government, or human rights organisations)
- Privacy Officer (in healthcare or corporate sectors)
- AI Compliance Specialist (ensuring algorithms meet legal standards
- Researcher in Responsible AI (at research institutes or universities)
- Founder of an ethical tech startup
- PhD student at a university
Programme Structure
Courses include:
- Data Science in Healthcare
- Legal Analytics
- Data Science for Social
- Information Retrieval & Text
- Explainable AI
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
- Apply before , International
-
Language
IELTS & PTE Test Preparation
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- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
Delivered
Campus Location
- Maastricht, Netherlands
Disciplines
Data Science & Big Data Machine Learning View 7 other Masters in Machine Learning in NetherlandsWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
In all other cases you will be considered for admission by the Board of Admissions if you have a bachelor’s degree or an equivalent diploma from a research university in a programme such as Artificial Intelligence, Data Science, Applied Mathematics, Computer Science, Operations Research, Econometrics, Applied Physics, Maastricht Science Programme, Psychology, Circular Engineering, Social Sciences, Humanities or Engineering and if you have obtained at least 30 ECTS in your bachelor's degree in the minimal required competences.
The minimal required competences are:
- Mathematics: statistics, probability theory, linear algebra
- Programming: proficiency of a procedural programming language (e.g., Python, Java, C#, C, C++, Julia)
- Furthermore, each application that satisfies the above will be looked at individually
Tuition Fees
-
International Applies to you
Applies to youNon-residents25500 EUR / year≈ 25500 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2771 EUR / year≈ 2771 EUR / year
Living costs
Maastricht
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Responsible 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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