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104.TechnischeUniversität Braunschweig
University note
Technische Universität Braunschweig
M.Sc. Data Science – International Applicants Guide
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Program Overview
| Field | Details |
| University | Technische Universität Braunschweig |
| Degree | Master of Science (M.Sc.) |
| Program | Data Science |
| Language of Instruction | English |
| Duration | 4 Semesters |
| ECTS | 120 ECTS |
| Start of Studies | Winter Semester & Summer Semester |
| Admission | Restricted admission (special admission requirements) |
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Application Deadlines (International Students)
Winter Semester
Non-EU Applicants
- Application Period: 1 February – 15 March
EU Applicants
- Application Period: 1 June – 15 July
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Summer Semester
Non-EU Applicants
- Application Period: 1 August – 15 September
EU Applicants
- Application Period: 1 December – 15 January
Non-EU applicants are processed under the international applicant quota, while EU applicants follow the regular application periods. :contentReference[oaicite:0]{index=0}
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Language Requirement
The programme is taught entirely in English.
Applicants must provide proof of English proficiency according to the admission regulations.
Examples of accepted proof include:
- IELTS
- TOEFL
- Cambridge English certificates
- Equivalent recognized English-language certificates
Applicants from English-medium bachelor's programmes may also qualify according to the admission regulations. :contentReference[oaicite:1]{index=1}
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Academic Requirements
Applicants must possess a Bachelor's degree in a suitable field with a strong background in mathematics or computer science.
Typical eligible degrees include:
- Computer Science
- Data Science
- Mathematics
- Applied Mathematics
- Artificial Intelligence
- Business Informatics
- Related quantitative disciplines
Minimum academic preparation includes:
- At least 25 ECTS in fundamental mathematics
- Programming experience in at least one common programming language
- Strong analytical and logical thinking skills :contentReference[oaicite:2]{index=2}
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Programme Structure
The curriculum consists of three main academic areas:
- Mathematical foundations of data analysis
- Mathematics
- Data processing
- Data management
- Data analysis
- Computer Science
- Engineering
- Biology
- Chemistry
- Pharmacy
- Medicine
- Image Processing
- Signal Processing
- Other interdisciplinary application domains
- Application Area
Students also complete:
- Research seminars
- Practical laboratory work
- Projects
- Six-month Master's thesis :contentReference[oaicite:3]{index=3}
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Special Features
The programme offers:
- Fully English-taught curriculum
- Strong combination of Mathematics and Computer Science
- Flexible elective application fields
- Research-oriented education
- Project-based learning
- Modern Computer Science Centre
- Close collaboration with research institutes
- Strong industry connections throughout the Braunschweig research region :contentReference[oaicite:4]{index=4}
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Career Opportunities
Graduates commonly work as:
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Research Scientist
- Business Analytics Specialist
- Consultant
- Software Engineer
- Data Engineer
The programme also prepares students for doctoral research. :contentReference[oaicite:5]{index=5}
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Required Documents
International applicants are generally required to submit:
- Bachelor's degree certificate (or provisional certificate)
- Official transcript of records
- Proof of English language proficiency
- CV
- Module descriptions (if requested for eligibility assessment)
- Additional documents required by the online application portal
Applicants should carefully review the official admission regulations before applying. :contentReference[oaicite:6]{index=6}
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Admission Process
Admission is competitive.
Applications are evaluated based on:
- Academic background
- Mathematical preparation
- Computer Science background
- English language proficiency
- Compliance with the admission regulations
Meeting the minimum requirements does not automatically guarantee admission. :contentReference[oaicite:7]{index=7}
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Contact
Programme Coordination
Marvin Plagge
Email:
ds-studium@tu-braunschweig.de
Phone:
+49 531 391 2831
Faculty: Carl-Friedrich-Gauß Faculty