Overview
The Computer Science - Data Science course from IU International University of Applied Sciences will give your skills and career prospects a major boost.
Focus on advanced data science techniques, including predictive modelling, big data analytics, and applied data-driven solutions.
Build a holistic and in-depth understanding of computer science, with a special emphasis on data analysis and computational methods.
Complement on-campus lectures with digital learning tools for a hands-on experience.
Earn a degree from a German state-accredited university, giving your qualification international value.
Career Opportunities:
Germany’s rapidly growing digital economy offers excellent opportunities for graduates of a Master’s in Computer Science with a specialisation in Data Science. As one of Europe’s leading tech hubs, Germany shows strong demand for professionals who can analyse and leverage data to drive innovation, optimise processes, and support strategic business decisions. Expertise in data engineering, machine learning, and advanced analytics is particularly sought after across industries.
Analytics Consultant
Business Data Analyst
Data Engineer
Get more details
Visit programme websiteProgramme Structure
Courses include:
Algorithmics
Cyber Security and Data Protection
Seminar: Computer Science and Society
Software Engineering: Software Processes
Programming with Python
Data Science
Big Data Technologies
Advanced Statistics
Artificial Intelligence
Project: Software Engineering
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Köln, Germany
Disciplines
Computer Sciences Data Science & Big Data View 75 other Masters in Data Science & Big Data in GermanyExplore more key information
Visit programme websiteWhat 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
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Completed, undergraduate degree with 180 ECTS credits with a focus on Computer Science or computer-related subjects
- Your degree must be from a state or state-recognised higher education institution/university
- You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree
Admission Interview:
- Once your application and documents are submitted, you will be invited to a 15-minute online interview conducted by our admission team. During the interview we will discuss your academic background, reasons for pursuing further study, and career objectives.
- The interview is a required component of the eligibility check for international applicants. If you miss your interview, The invitation will be sent again to allow you to schedule a new appointment.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals 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 IU International University of Applied Sciences and/or in Germany, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents10000 EUR / year≈ 10000 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals10000 EUR / year≈ 10000 EUR / year
Additional Details
- there is also a 1500 EUR campus fee
- students can pay by semester
Living costs
Köln
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn 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 Computer Science - Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility