Applied Data Science and Analytics (M.SC.)
As a Data Scientist, you occupy a key position when it comes to dealing with large and unstructured data sets and extracting knowledge from it. Our Master's in Applied Data Science and Analytics is the right fit for you.
Data Management, Big Data Technologies
In the Master’s programme Applied Data Science and Analytics, you will gain in-depth knowledge and an understanding of the complete data science process. You will learn how to apply mathematical,
statistical, analytical, and machine learning/deep learning techniques to gain insights from large and often unstructured datasets.
The data visualization and storytelling part of this programme will enable leveraging the data to reveal valuable insights to the stakeholders for decision making. You will also learn with us in a practice-oriented manner: you will work together with real customers in project-related modules. In addition, you will complete a three-month mandatory internship at a company of your choice, and additionally you can write your master thesis in cooperation with a company. This gives you almost a year of professional experience during your studies.
Intakes
- Jan
- Sep
Application Processing Time in Days: 20
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
Having a Master of Science degree in “Applied Data Science and Analytics” and qualification in all layers of data science will give you the best chance across all sectors, including the manufacturing industry, banks, insurance companies, the IT sector, consulting, public or industrial research institutes, the public health sector as well as colleges and universities. Graduates from previous years now work for ABB, Heidelberg Cement, Airbus, Accenture, Adidas, Audi, Bosch, BMW, BASF, Deloitte, Deutsche Börse, DKFZ, PWC, SAP, and Verivox, as well as for successful SMEs. Our programme will also qualify you for a position in the public sector, work in research, and Ph.D. programmes.
Admission Requirement / Eligibility Criteria
- First degree (i.e. first degree qualifying for a profession) in Computer Science, Data Science, Information Technology, Artificial Intelligence, Data Analysis, Mathematics, Business Informatics awarded with 180 CPs.
- English Proficiency Proof: The students need to be capable of following an English-language course and understanding English- language professional literature. The proficiency of the English language has to be proven through a passed TOEFL test of at least 80 points, IELTS/ IELTS ONLINE (6.5), Duolingo (120), MOI (Medium of Instruction letter)
- Knowledge of machine learning, natural language processing, data warehousing, statistics, data management, data mining is desired
- Programming experience with Python, R is a plus
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
-
Total Tuition Fee:
21800 EUR
Average Cost of Living: 10200 EUR /year
Application Fee: N/A