

MSc in Data Science
- Public University
MSc in Data Science at TU Ilmenau Overview
Offered at the PG level of study by the Technical University of Ilmenau, MSc in Data Science is one of the top choices among international students around the globe. Students can do this course over a period of 2 years. Plus, candidates must meet the minimum score requirements for aptitude test and English proficiency exams such as IELTS, TOEFL and PTE for admissions to the university for MSc in Data Science. Also, they must submit all the required documents. When it comes to the expenses of studying this program, the cost is divided into two parts, annual tuition cost and the cost of living. Also, the cost of living sums up to be around Euro 2,200 (INR 243,606). Note that this amount does not include:
- Housing
- Transportation
- Food
- Books and supplies
- Other miscellaneous expenses
Duration | 2 years Get Curriculum |
Tuition & Fees | |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc in Data Science at TU Ilmenau Fees
When planning for the MSc in Data Science, applicants should consider the financial aspects involved. Additionally, it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by the Technical University of Ilmenau. However, accordingly to the official website the average cost of living that international students have to bear is Euro 2,200 (INR 243,606), annually. To know about the complete breakdown of the Technical University of Ilmenau MSc in Data Science fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 0 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 2,34,031 |
| Insurance | INR 1,17,016 |
MSc in Data Science at TU Ilmenau Curriculum
Latest curriculum for MSc in Data Science at TU Ilmenau can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in M.Sc. at TU Ilmenau
Download exam sample paper
MSc in Data Science at TU Ilmenau Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read lessApplicants must hold a Bachelor's degree in a similar field (e.g., Data Science, Statistics, Computer Science, or Mathematics). Admission is based on a points-based assessment requiring at least 50 points. Points are calculated from the degree subject (e.g., 30 points for Data Science/Statistics), GPA on the German scale (e.g., 10 points for a grade better than 1.5), and relevant coursework measured in ECTS (e.g., Analysis, Optimization, Probability, Programming, and Machine Learning).

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- Minimum score in each section:
- Reading Section - minimum section score: 18
- Listening Section - minimum section score: 17
- Speaking Section - minimum section score: 20
- Writing Section - minimum section score: 17
- Minimum score in each section:

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 59/90
- No specific cutoff mentioned
- Read less
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MSc in Data Science at TU Ilmenau Rankings
| Rank | Rank Publisher |
|---|---|
| #551 | |
| #1001 | |
| #1950 |
Technical University of IlmenauStudents Ratings & Reviews
- 25% students never faced discrimination in this university
MSc in Data Science at TU Ilmenau Highlights
- Dive deeper into the world of data and actively shape the future. This English-language Master's degree program in Data Science builds on a solid Bachelor's background and offers students the unique opportunity to deepen their knowledge and engage with cutting-edge technologies
- This program is specifically designed to operate at the intersection of scientific innovation and industrial progress
- In particular, Students will be introduced to AI-supported decision-making based on existing mathematical models to address important societal issues. Furthermore, there is a special focus on the quantification of uncertainties as well as causal and Bayesian inference
- Students will also learn state-of-the-art techniques in the field of reinforcement learning and data assimilation, which are continuously being developed to make better predictions and decisions in critical areas such as climate change, weather forecasting and medical research
- Furthermore, Students will be familiarized with IT tools such as cloud computing and data management, which are essential for modern data analysis.




