Master of Science in Data Science
Explore modern and interdisciplinary data science at the interface of mathematics, statistics, and computer science.
Best for:Best for analytical minds with a background in quantitative sciences seeking advanced training in big data, machine learning, and statistical analysis.
Overview
The Master of Science in Data Science at the University of Basel is an interdisciplinary graduate program positioned at the intersection of mathematics, statistics, computer science, and programming. Students learn to handle large volumes of big data by applying methods such as machine learning, artificial intelligence, data mining, and deep learning. The curriculum covers the complete data pipeline from initial preparation and analysis to developing data-driven solutions and presenting insights. This rigorous academic training prepares graduates for versatile careers across industry, research, policy, and healthcare.
What you'll do
- Complete coursework across mathematics, statistics, computer science, and related domain applications
- Prepare, clean, and process large-scale and complex datasets for rigorous analysis
- Design and implement data-driven solutions using statistical models and machine learning algorithms
- Interpret complex analytical findings and present insights to inform strategic decisions
- Conduct independent research and develop creative solutions for interdisciplinary challenges
Requirements
Degree required: Bachelor's degree or equivalent qualification
Degree offered: Master of Science
Language: English
Instruction: English
- Foundational knowledge in mathematics and statistics
- Proficiency in programming and computer science principles
- Analytical aptitude for handling complex datasets
- Capacity for interdisciplinary problem-solving
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: April 30 / November 30
Prospective students must submit their application through the official university portal before the specified deadline. Ensure all required academic credentials and documentation are provided according to the university guidelines.
- Academic transcripts
- Degree certificate
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.