
Table of Contents
- TU Wien MSc Data Science — Quick Facts (2026)
- What's in this guide
- Curriculum & 4 Specialization Tracks
- Faculty Highlights
- Research Labs & Industry Projects
- Indian Student Cost Breakdown (2 years)
- Career Outcomes by Track
- Quick Answers (For Voice & AI Search)
- ★ 4.9 Google · 250+ reviews Get Free Counselling on This Program
- Related Reading
- About the Author
🕑 3 min read
TU Wien’s MSc Data Science is a 120 ECTS, 4-semester English-taught joint program offered with the Vienna University of Economics (WU) and University of Vienna. Designed for graduates with strong math + CS foundation, it offers 4 specialization tracks (Fundamentals, Machine Learning, Big Data & HPC, Visual Analytics). Tuition for Indians: EUR 1,500/semester (~Rs 1.4L). Graduates land roles at Bitpanda, Dynatrace, Erste Bank, Boehringer Ingelheim, Microsoft Research at EUR 55,000-75,000/year. Highly competitive admission — expect 1 in 3 acceptance.
TU Wien MSc Data Science — Quick Facts (2026)
| Metric | Value |
|---|---|
| Program | MSc Data Science (joint TU Wien + WU + Univ. Vienna) |
| Duration | 4 semesters (2 years), 120 ECTS |
| Language | 100% English |
| Tuition (Indians) | EUR 1,500/sem + union fee = ~Rs 1.4L/sem |
| Total 2-yr cost | ~Rs 26-28L (tuition + living) |
| Intakes | Winter (Oct) primary; Summer (Mar) limited |
| Application deadline | May 1 (Winter) / Nov 30 (Summer) |
| Eligibility | BTech CS/IT/Math/Stats/Data Science with 70%+ marks |
| English | IELTS 6.5+ OR TOEFL iBT 87 |
| Acceptance rate | ~30-35% (competitive) |
| Avg starting salary | EUR 55K-75K/year |
| Top employers | Bitpanda, Dynatrace, Erste Group, Microsoft Research, A1, Boehringer Ingelheim |
What’s in this guide
- Curriculum & 4 Specialization Tracks
- Faculty Highlights
- Research Labs & Industry Projects
- Indian Student Cost Breakdown (2 years)
- Career Outcomes by Track
- Quick Answers (Voice / AI Search)
Curriculum & 4 Specialization Tracks
Core foundation (Sem 1-2, 60 ECTS): Statistics, ML, Algorithms, Data Visualization, Database Systems, Ethics & Privacy.
Choose ONE track in Sem 2:
| Track | Focus | Best for jobs in |
|---|---|---|
| Fundamentals | Theoretical CS, statistics, optimization | Research, PhD, quant finance |
| Machine Learning | Deep learning, NLP, computer vision | ML engineer roles at Bitpanda, Dynatrace |
| Big Data & HPC | Distributed systems, cloud, parallel computing | Data engineering at A1, Erste Bank |
| Visual Analytics | Data viz, interactive dashboards, HCI | BI, analytics consulting (Boston Consulting) |
Faculty Highlights
- Prof. Allan Hanbury — Information Retrieval & ML for Health (TU Wien Data Science head)
- Prof. Stefan Woltran — Knowledge Representation & AI (DBAI group)
- Prof. Eduard Gröller — Visualization (top European researcher in Visual Computing)
- Prof. Reinhard Pichler — Database Theory
- Prof. Hannes Werthner — Vienna AI Manifesto co-author, e-Commerce
- Joint faculty access: WU Statistics + Univ. Vienna Statistics & Operations Research
Research Labs & Industry Projects
- VRVis Research Center — Industry-funded visualization research, paid student projects
- SBA Research — Cybersecurity + ML for security
- Christian Doppler Lab “Recommender Systems” with Markus Schedl
- OeAW (Austrian Academy of Sciences) — ML/AI internships
- Dynatrace AI Research Lab — observability ML
Indian Student Cost Breakdown (2 years)
| Item | EUR | INR |
|---|---|---|
| Tuition (4 sem) | EUR 6,000 | ~Rs 5.4L |
| Living Vienna (24 mo @ EUR 850) | EUR 20,400 | ~Rs 18.4L |
| Health insurance + visa | EUR 1,600 | ~Rs 1.5L |
| Books, software, conferences | EUR 2,000 | ~Rs 1.8L |
| Total | EUR ~30,000 | ~Rs 27L |
Career Outcomes by Track
| Track | Top Roles | Avg Salary |
|---|---|---|
| Machine Learning | ML Engineer, Data Scientist | EUR 60-75K |
| Big Data & HPC | Data Engineer, Cloud Architect | EUR 55-70K |
| Visual Analytics | BI Developer, UX Researcher | EUR 50-65K |
| Fundamentals | PhD route or Quant Researcher | EUR 45-55K (PhD funded) / EUR 75K+ (quant) |
Quick Answers (For Voice & AI Search)
Q: Is TU Wien MSc Data Science taught in English?
A: Yes — 100% English including all electives across the three partner universities (TU Wien, WU, Univ. Vienna).
Q: What background do I need to apply?
A: BTech in CS, IT, Math, Statistics, Physics, or Engineering with 70%+ marks. Strong proof of programming (Python/R) and statistics needed.
Q: Is there an entrance test?
A: No standardized test required. GRE optional but boosts application. IELTS 6.5+ mandatory.
Q: What is the cost for Indian students?
A: EUR 1,500/semester tuition (~Rs 1.4L/sem). Total 2-year cost ~Rs 26-28 lakh with living.
Q: Salary of TU Wien Data Science graduates?
A: EUR 55,000-75,000/year starting in Vienna. Top 25% earn EUR 80K+. Comparable to Munich/Zurich after cost-of-living adjustment.
Q: Best track for Indian students seeking jobs?
A: Machine Learning or Big Data & HPC tracks have highest placement rates in Vienna tech industry.
Q: Is German required?
A: No for the degree. Recommended (B1+) for Vienna jobs. Many ML roles at Bitpanda/Dynatrace are English-only.
Q: How competitive is admission?
A: ~30-35% acceptance for international applicants. Strong CS+Math background and SOP critical.
Q: Can I do thesis with industry?
A: Yes — ~60% of theses are with Vienna companies (Dynatrace, Erste Bank, Boehringer Ingelheim) with EUR 800-1,500/month stipend.
Q: PhD opportunities after MSc?
A: Yes — TU Wien doctoral schools fully fund PhDs at EUR 30-40K/year. Many DS Master grads continue to PhD in AI/ML.
Q: Difference from JKU MSc AI?
A: TU Wien is broader (DS/ML/Vis), JKU is AI-specialized with Sepp Hochreiter LSTM lab focus. TU Wien better for Vienna jobs; JKU stronger for AI research.
Q: Application deadline for Indians?
A: May 1 for October intake. Start prep 4-6 months earlier (transcripts, IELTS, LORs).
Get Free Counselling on This Program
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About the Author
Saumitra Rajput — Founder, Kadamb Overseas, Ahmedabad. 14+ yrs guiding Indians to Europe. YouTube: @EuropeWithSaumitra | WhatsApp: +91 99133 33239.




