

Data Analytics (M.Sc.)
- Public University
Faculty 4: Mathematics, Natural Sciences, Economics & Computer Science
Data Analytics (M.Sc.) at UH Overview
The University of Hildesheim offers a really good Data Analytics (M.Sc.) program at the PG level, which lasts for 2 years. To get admission to the program, students must meet the requirements for the course which include having a valid score on tests like IELTS and TOEFL. Also, the students should budget well for living expenses, which has:
- Accommodation (rent or hostel)
- Food
- Books
- Other important utilities
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 |
Data Analytics (M.Sc.) at UH Fees
For enrolling at the University of Hildesheim, for Data Analytics (M.Sc.), students must pay the tuition and living cost. Moreover, the University of Hildesheim Data Analytics (M.Sc.) fee structure can vary from domestic to international students.
Along with this, they must be ready for other costs of living such housing, food, transportation, books and supplies, and other miscellaneous expenses. Check out University of Hildesheim Data Analytics (M.Sc.) on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 0 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,12,607 |
| Other Expenses (Incl Hostel) | INR 8,83,658 |
Data Analytics (M.Sc.) at UH Curriculum
Candidates interested in the University of Hildesheim Data Analytics (M.Sc.) course can easily download the detailed curriculum by clicking the green button below. The disciplines that will be taught during the program, the different electives that students can select from, and other crucial course material are all included in one extensive PDF. It also includes a synopsis of the course structure per semester, which helps potential students see how their academic path will develop over time.
Download exam sample paper
Data Analytics (M.Sc.) at UH Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- 53%
- Read less
- Students with Bachelor’s Degree in Computer Science, Information Technology, Mathematics and related fields are eligible to apply.
- Generally, students with a strong analytical, mathematical and statistical base and good programming skills are more suited for this program
- Admissions are prioritized according to the following criteria:
- overall mark of your Bachelor (53%),
- amount and marks of Bachelor courses related to Data Analytics (incl. math and programming, 35%),
- prior research activities in Data Analytics (6%) and
- prior practical activities in Data Analytics (6%).

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- Marks - 61/120
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- Marks - 6/9
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Data Analytics (M.Sc.) at UH Application Process
- Academic Transcripts
- Proof of English Language Proficiency
- An officially certified photocopy of your school leaving certificate (baccalauréa etc.). This must include an overall average mark.
- An officially certified photocopy of the translation of your school leaving certificate
- Proof of your knowledge of German (see also German language skills)
- A one-page letter in German explaining your reasons for wanting to study in Hildesheim
- A certified photocopy of your passport
- The receipt proving you have paid the processing fee
- a description of your research project
- a letter of motivation
Data Analytics (M.Sc.) at UH Highlights
- The course in "Data Analytics" is interdisciplinary and combines methodical core modules from applied computer science and mathematics with application modules from various areas.
- It aims to train data analysts across various application areas who have in-depth methodological and algorithmic knowledge based on the current state of research in order not only to use existing methods, but also to develop new models and methods that are suitable for the specifics of the capture modeled systems
- In today's globalized business world, knowledge and skills for modeling and analyzing large and complex data contribute to the competitive advantage of all economic sectors.
- The development of new models and methods, which develop application-relevant relationships from increasingly complex, heterogeneous and simply more extensive data, represents the central subject of machine learning and is now well-known under the name Big Data.
- The need for graduates with knowledge of data analytics, big data and machine learning is very high, both in various economic application areas (e-commerce, automotive, engineering applications, medical applications, etc.) and in research, both in the Application subjects as well as machine learning itself
Data Analytics (M.Sc.) at UH Important Dates
Data Analytics (M.Sc.) at UH Scholarships
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Data Analytics (M.Sc.) at UH Contact Information
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Universitätsplatz 1
31141 Hildesheim
Hildesheim ( Other - Germany)




