M.A. Data Analytics & Artificial Intelligence (online)
Fact sheet
Graduation
Master, Master of Arts (M.A.)
Taught language
Englisch
Specialization
Technologie
Program Emphasis
Artificial Intelligence, Data Analytics
Course options
Full-online
Locations
Berlin, München, Stuttgart
Contact
Contact person
Student Advisory
Student Advisory
The online MA in Data Analytics & Artificial Intelligence offers a flexible learning environment, allowing you to master advanced data analysis and AI concepts from anywhere in the world. Engage in interactive coursework and receive guidance from industry experts to apply AI-driven solutions effectively in various business contexts.
Why you should study this program
- Master Advanced Data Techniques: Develop expertise in data analysis and artificial intelligence from anywhere. Learn to integrate data insights into business strategies, enhancing decision-making processes.
- Flexible Learning for Professionals: Balance your studies with your career through a fully online curriculum. Access course materials and lectures at your convenience.
- Global Networking Opportunities: Connect with a diverse cohort of professionals worldwide. Expand your professional network and gain international perspectives on management and innovation.
Requirements / Application
- Bachelor’s degree or equivalent
- English proficiency demonstrated by one of the following: IELTS: 6.0, PTE: 56, TOEFL: 80, Duolingo: 100, Cambridge Advanced or Proficiency
- An updated CV, An official copy of your university certificate, An academic transcript
- aIf your degree is in another field, you may have to complete additional Pre-Master Courses with us
Tuition / Fees
*excl. one-time €250 Admission Fee + €250 Examination Fee
Duration of study
Career Perspective
- Data Scientist
- AI Solutions Architect
- Digital Innovation Strategist
- Cloud Solutions Engineer
- Cybersecurity Analyst
- Data Analytics Manager
Participants
- Candidates who are tech enthusiasts, fascinated by data and AI, and committed to addressing societal challenges.
- Applicants with an innovative mindset, eager to shape the future of digital landscapes.
- Professionals who aspire to lead and excel in complex problem-solving within tech-driven environments.
- Candidates dedicated to mastering advanced technologies and steering transformative initiatives in technology-centric fields.
- Applicants with a proven track record in leveraging emerging technologies, eager to bridge the gap between advanced data analytics and actionable business insights.
