Foundations in Data Science
Technische Universität Chemnitz
Degree
Bachelor of Science
Language
English
Tuition
Free
Duration
6 semesters
Programme Overview
Interdisciplinary bachelor's programme combining deep mathematical training with state-of-the-art data analysis and AI. Focuses on mathematics, programming, statistical modeling, and computational machine learning.
Admission Requirements
- Minimum GPA
- Standard university entrance qualification; no specific NC stated
- English requirements
- B2 level (CEFR). Accepted: IELTS 5.5, TOEFL iBT 72, TOEFL ITP Level 1 543, Pearson PTE Academic 59, Cambridge FCE (B/C), BEC Vantage, telc B2, UNIcert II, or equivalent. Applicants from English-speaking countries exempt.
- German requirements
- No German required for the programme itself; basic German recommended for daily life
- Accepted bachelor fields
- Higher education entrance qualification (Abitur or equivalent); no specific subject restriction
- APS Certificate
- Yes
Costs & Funding
- Tuition fee
- 0 EUR (no tuition fees)
- Semester contribution
- Approx. 330 EUR per semester (includes semester ticket)
- ECTS credits
- 180
- Funding info
Tuition: 0 EUR (no tuition fees) Semester contribution: Approx. 330 EUR per semester (includes semester ticket)
Career Outcomes
Data scientist, AI software developer, data analyst in technical, natural, or social sciences sectors.
Typical job roles
Target industries
Programme details
- Degree
- Bachelor of Science
- Language
- English
- Duration
- 6 semesters
- Mode
- Full-time
- Start
- Winter Semester
- Deadline
- 15 July (annual)
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