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University of Potsdam
Potsdam
Data Science
Subjects: Data Science;Science;Technology
M.Sc. | Master of Science
Course description
The interdisciplinary Master's program "Data Science" blends elements from computer science, mathematics, business information systems, and natural sciences. Basic courses cover machine learning, deep learning, statistical data analysis, data assimilation, business analytics, and big data infrastructures. These courses provide a solid foundation. In-depth courses dive into current research in your chosen areas. Seminars tackle complex topics, and the Applied Data Science module lets you put your skills to practical use. The research module involves participating in a project at the University of Potsdam or a local research institution. An industrial internship is optional. The Berlin/Potsdam area boasts a vibrant start-up scene and numerous big data companies, offering ample opportunities for growth and networking.
Program Information
| Study Location | Potsdam |
| Start Semester | Winter |
| Study Form | Part-time |
| Study Type | Postgraduate |
| Teaching Language | English |
| Dual | No |
| Remote | No |
| Application Fee non-EU | No information |
| Study Length | 4 Semesters |
| Tuition Fees per Semester | No Tuition Fee |
| Cost per Semester | 323.0 EUR |
Step 2 - Check Application Requirements
Application Requirements
Language Requirements
| CEFR | C1 |
| IELTS | 7 |
| Cambridge (CAE) | No information |
| TOEFL IBT | 95 |
UNIcert® III or IV certificate TOEFL® Internet-Based Test (iBT) or TOEFL iBT Home Edition with at least 95 points Cambridge English C1 Advanced (CAE) with at least 180 points IELTS “Academic” or IELTS Online with at least 7 points in every test component Proof of completion of a program of study at a recognized university with English as the exclusive language of instruction. Suitable certificates or documents to prove an English-language program of study include the degree certificate, a transcript of records, a diploma supplement, regulations concerning access to and conduct of studies, or comparable evidence. Certificate of the higher education entrance qualification obtained for an Englishlanguage course of education in a country that has English as an official language Pearson Test of English - PTE Academic or PTE Academic Online with at least 76 points Cambridge English C2 Proficiency (CPE)
Qualification Requirements
Applying for a master's degree generally requires you to hold an undergraduate degree, such as a bachelor's degree. A first degree in either computer science or mathematics qualifies you in any case for this master's degree. We strongly recommend that your prior studies included preliminary courses in probability and statistics. A degree in information systems or natural sciences qualifies you if your first degree strongly emphasized content from the areas of computer science or mathematics. Depending on your background, bridge modules can complete gaps in the other respective discipline. The program additionally requires proof of good English-language skills corresponding at least to the C1 level of the Common European Framework of Reference for Languages.
Application Process
| Acceptance Interview | No |
| Acceptance local admission restrictions | Restricted |
| Application |
directly at the University, uni-assist |
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