Data Science (Master Of Science)
Today, the science of gaining knowledge and insight from data is so highly advanced that it forms its own field: data science. The study of data science combines computer science, mathematics and various applied subjects from which you can choose. Because of the fascination for these methods and their importance for business, technology and research, data scientist is often considered the ”hottest job” of our time.
What is special about TU Braunschweig?
Combination of mathematics and computer science
The curriculum of the “Data Science” degree programme includes courses offered by the departments of Computer Science and Mathematics. Through the application subjects, all other faculties of TU Braunschweig also participate in the study programme. As one of the first universities in Germany, TU Braunschweig has been offering the study of computer science since 1972; and mathematics has always been taught at TU Braunschweig. Since 2018, there is already the area of specialisation “Mathematics of Data Science” as part of the Master’s programme in Mathematics. The English Master’s programme in Data Science is thus — unlike at other locations — a combination of the fundamentals of mathematics, relevant areas of computer science, and a variety of application subjects from the entire portfolio of TU Braunschweig.
Examples of these application subjects are
- engineering,
- biology/chemistry/pharmacy,
- medicine and
- image and signal processing.
- Further application subjects are being prepared.
Note - Total Total Tuition Fee is estimated.
For More Information Please Contact To Our PSA Counselor.
Intakes
- April
- Oct
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Employment perspectives for data scientists are outstanding. And they are expected to become even better in the future as computer science and mathematics are of increasing importance in (almost) all application areas. According to a study of the Bitkom, the professional association of the digital industry in Germany, commissioned by the consultancy and auditing company KPMG a specialisation in data science is in particularly high demand. The new profession of data scientist is often considered the “sexiest (or hottest) job of the 21st century”.
The most common careers are the following:
- data scientists in industry, across all areas where large amounts of data are processed
- scientist in research and teaching
- management or business analytics (thanks to experience in working with data and machine learning in particular)
- consulting
- adjacent fields
Admission Requirement / Eligibility Criteria
- you need to have a Bachelor’s degree in the same or a closely-related discipline.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
-
Total Tuition Fee:
76640 EUR
Average Cost of Living: 20000 EUR /year
Application Fee: N/A