M.A. Data Analytics & Artificial Intelligence
Fact sheet
Graduation
Master, Master of Arts (M.A.)
Taught language
Englisch
Specialization
Technologie
Program Emphasis
Artificial Intelligence, Data Analytics
Course options
Full-time study
Locations
Berlin
Contact
Contact person
Student Advisory
Student Advisory
The MA in Data Analytics & Artificial Intelligence at S-Next, Berlin, immerses you in the forefront of data science and AI technologies. Through hands-on projects and expert mentorship, you'll develop the skills to transform complex data into actionable insights, driving innovation across industries.
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.
