Overview
The Business Management - Data Analytics and Artificial Intelligence (Hybrid) from Steinbeis Next equips you with a data-driven mindset and expertise in AI technologies. You will learn to apply foundational business principles in digital realms, manage and analyze data across strategies, and explore AI and big data management. This program aligns with the rising demand for skilled professionals in data-driven decision-making, preparing you for roles in analytics, innovation, and operations in a competitive business environment.
Your Career Prospects
- Data Analyst
- Data Scientist
- AI Engineer
- Machine Learning Engineer
- Business Intelligence Analyst
- Big Data Analyst
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Philosophy of Science and Research Methods
- Advanced Statistics
- Strategic Management
- Finance
- Marketing
- Economics, Politics, and Society
- Project Management
- Leadership and Communication
- Qualitative Research (R&S Project)
- Innovation Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
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- StartingApply anytime.
Applications accepted for January, April, July and October
Language
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Berlin, Germany
Disciplines
Management Studies Artificial Intelligence Data Analytics View 57 other Masters in Artificial Intelligence 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
To enrol in our MSc programs, you must have:
- A bachelor’s degree or equivalent
- Depending on the student’s area of study during your Bachelor, Pre-Master preparation modules may be required
- EN proficiency (IELTS 6.0 / PTE – 56/ TOEFL – 80/Duolingo – 100/ Cambridge Advanced or Proficiency)
- Submitted the complete application documents, such as an updated CV, an official copy of your university certificate and an academic transcript
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 Steinbeis Next 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-residents11900 EUR / year≈ 11900 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals11900 EUR / year≈ 11900 EUR / year
Living costs
Berlin
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 Business Management - Data Analytics and Artificial Intelligence (Hybrid).
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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