Master of Science in Data Science
An interdisciplinary Master's programme combining mathematics, computer science, and diverse application domains.
Best for:Best for students with a strong background in mathematics or computer science seeking an interdisciplinary approach to data science.
Overview
The Master of Science in Data Science at TU Braunschweig is a comprehensive, English-taught programme designed to equip students with advanced skills in data analysis and computational methods. Jointly offered by the departments of Computer Science and Mathematics, the curriculum integrates fundamental research with practical application areas such as engineering, medicine, and signal processing. Students benefit from a flexible structure that allows for individual specialization through ramp-up courses, core electives, and a research-oriented Master's thesis. The programme prepares graduates for professional roles by bridging theoretical foundations with real-world problem-solving.
What you'll do
- Complete ramp-up courses in mathematics and computer science to standardize foundational knowledge.
- Select and complete compulsory elective modules across computational sciences, mathematics, and application areas.
- Develop an individual study plan in collaboration with academic tutors.
- Participate in seminars, labs, and projects to apply theoretical knowledge to practical problems.
- Conduct independent scientific research for the Master's thesis over a six-month period.
Requirements
Degree required: Bachelor's degree in Data Science, Computer Science, Mathematics, or a closely related field.
Degree offered: Master of Science
Language: English; C1 level (e.g., IELTS 6.5, TOEFL iBT 95).
Instruction: English
- Proven knowledge in basic mathematics (at least 25-75 credit points depending on track).
- Proven knowledge in basic computer science (at least 60 credit points).
- Proficiency in programming, software engineering, and database management.
- Advanced English language proficiency (C1 level).
- Must hold an equivalent qualification in a relevant prior degree programme.
- Must demonstrate specialized qualification through academic transcripts.
- Must pass a selection interview.
Funding & terms
Programme and admissions
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How to apply
Applications must be submitted through the university's online portal. Applicants should review the specific deadlines for EU and non-EU citizens for the respective winter or summer semester intake.
- Academic transcripts
- Language proficiency certificate
- Degree certificates
Contact
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