Overview
The data visualization and storytelling part of the Applied Data Science and Analytics program at SRH University Heidelberg 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.
Career prospects
Possible fields of Work:
- Data Scientist
- Data Analyst
- Data Engineer
- Data Architect
- Business Intelligence Developer
- Machine Learning Engineer
- Deep Learning Expert
- Natural Language Processing Engineer
- Artificial Intelligence Expert
- ETL Developer
Programme Structure
Courses include:
- Data Analytics: Statistics and Machine Learning
- Data Visualization and Storytelling: Design Basics
- Big Data Programming: Python
- Data Engineering: Big Data Databases
- Data Management: Data Acquisition and Data Cleaning
- Privacy, Ethics and International Law
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
rolling intake - applications are accepted all year round.
Language
Credits
Delivered
Campus Location
- Heidelberg, Germany
Disciplines
Data Science & Big Data Data Analytics View 81 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Other requirements
General requirements
- 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 (6.5), Duolingo (110), 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
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at SRH University Heidelberg and/or in Germany, please visit Student Insurance Portal.
Tuition Fee
-
International
12900 EUR/yearTuition FeeBased on the tuition of 6450 EUR per semester during 24 months.
- EU students: €790/Month
- Non-EEA: 6,450 EUR per semester + one-time registration fee of 1,000 EUR and must pay the tuition fees for one semester in advance
Living costs for Heidelberg
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Applied Data Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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