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Data Analytics (M.Sc.)
- Public University
Faculty 4: Mathematics, Natural Sciences, Economics & Computer Science
Talk to ExpertData Analytics (M.Sc.) at UH Overview
A 2 years long Data Analytics (M.Sc.) is offered by University of Hildesheim at PG level.
The course admission process requires students to submit a valid score in exams such as IELTS and TOEFL.
Additionally, to know general details about the course, the students must also know the cost of attendance. On top of this, the students are required to bear the cost of living 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 |
- Overview
- Fees
- Curriculum
- Entry Requirements
- Application Process
- Highlights
- Scholarships
Data Analytics (M.Sc.) at UH Fees
As part of the University of Hildesheim fee structure for the Data Analytics (M.Sc.), students have to pay no tuition fees. However, they have to pay some one-time costs to the university at the time of admission. Other additional expenses that the students have to incur during their stay include books and supplies charges, rent, food, utilities, etc.
Find more details about University of Hildesheim Data Analytics (M.Sc.) fee breakup, from the table mentioned below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 0 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,15,170 |
| Other Expenses (Incl Hostel) | INR 9,03,770 |
Calculated at the exchange rate of 1 Euro = INR 104.7 | Tuition & expenses were last updated on 17ᵗʰ December 2024Data Analytics (M.Sc.) at UH Curriculum
An idea about the curriculum of University of Hildesheim Data Analytics (M.Sc.) can be taken from the downloadable PDF Version given below. Students can download the curriculum PDF by simply clicking on the green button below. This curriculum PDF comprises information like electives available, subjects taught, program credits, and other necessary information about the course. Additionally, this PDF contains the semester-wise course structure breakup.
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%).
Calculate your score and check your eligibility at over 2000+ universities.
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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
- A curriculum vitae in tabular form
- 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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31141 Hildesheim
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