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Master of Science

Data Science

Technische Universität Braunschweig

Braunschweig, GermanyData Science & AI
Free TuitionAPS Requiredfull-time

Degree

Master of Science

Language

English

Tuition

Free

Duration

4 semesters

Programme Overview

The Master's programme in Data Science is a joint course offered by the departments of Computer Science and Mathematics, integrating fundamentals of mathematics, relevant areas of computer science, and application areas from the entire portfolio of TU Braunschweig, such as engineering, biology/chemistry/pharmacy, medicine, and image and signal processing.

Admission Requirements

Academic requirements

Proofs have to be furnished by way of a written presentation on at most one DIN A4-page (typeface Arial, type size 10) with attached documents/copies.

Minimum GPA
No fixed minimum GPA is published on the current official programme page.
English requirements
Applicants whose native language is not English must have a sufficient knowledge of English. Minimum result: TOEFL internet-based Test 95, Cambridge English: Advanced (CAE) Grade B or higher, Cambridge English: Proficiency (CPE) Grade C or higher, IELTS Band 6.5 or higher, English Language Proficiency Report of the language centre of TU Braunschweig: At least two skills on level B2 and two skills on level C1.
Accepted bachelor fields
data science, computer science, mathematics or a closely related degree programme
APS Certificate
Yes

Costs & Funding

Tuition fee
None
Semester contribution
approx. 383 EUR
ECTS credits
120
Funding info

Tuition: None Semester contribution: approx. 383 EUR

Career Outcomes

Exceptional career prospects across all sectors due to the universal need for data expertise; high starting salaries and strong demand in German industry, particularly in automotive (e.g., autonomous driving) and Industry 4.0 applications.

Typical job roles

Data scientist

Target industries

BusinessTechnologyResearch

Similar programmes in Data Science & AI

Programme details

Degree
Master of Science
Language
English
Duration
4 semesters
Mode
full-time
Start
Winter semester
Deadline
15 March (annual)

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