12 monthsProgramme duration
28,700 EURTuition Fee/year
10 Jul, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Data Analytics & Artificial Intelligence will hone your business decision-making skills. You will acquire the skills to implement, use, and monitor new disruptive technologies and to be at the heart of business decisions. The program prepares young talented graduates with good quantitative skills for a wide range of positions and opportunities where programming, quantitative analysis, critical thinking, and business management skills are essential.
Learning outcomes:
- Apply your data analytics expertise to a wide range of industries
- Acquire skills in programming and data science
- Devise successful analytics strategies
- Conduct Big Data projects and manage innovation
- Enriching practical experience with real problems
- Master critical thinking tools and create successful, actionable and innovative strategies
- Learn a new tech language
- Develop a disruptive entrepreneurship spirit
- Communicate effectively and professionally, both in written and in oral communication
- Demonstrate thinking and problem-solving skills applied to the intersection of data science, IT and managerial challenges
- Understand economic, societal, business and ethical impacts of Artificial Intelligence
Tuition fees are provided for information only and are subject to change.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Data Analytics & Artificial Intelligence will hone your business decision-making skills. You will acquire the skills to implement, use, and monitor new disruptive technologies and to be at the heart of business decisions. The program prepares young talented graduates with good quantitative skills for a wide range of positions and opportunities where programming, quantitative analysis, critical thinking, and business management skills are essential.
Learning outcomes:
- Apply your data analytics expertise to a wide range of industries
- Acquire skills in programming and data science
- Devise successful analytics strategies
- Conduct Big Data projects and manage innovation
- Enriching practical experience with real problems
- Master critical thinking tools and create successful, actionable and innovative strategies
- Learn a new tech language
- Develop a disruptive entrepreneurship spirit
- Communicate effectively and professionally, both in written and in oral communication
- Demonstrate thinking and problem-solving skills applied to the intersection of data science, IT and managerial challenges
- Understand economic, societal, business and ethical impacts of Artificial Intelligence
Tuition fees are provided for information only and are subject to change.
Admission Requirements
Minimum three-year bachelor’s degree (any type of engineering or business/finance background)
Acceptable English proficiency tests/certificates (TOEFL, TOEIC or IELTS)*
- TOEFL iBT ≥ 92 / TOEFL iBT Home Edition ≥ 92 / TOEFL iTP ≥ 570
- TOEIC Listening & Reading ≥ 850
- IELTS Academic ≥ 6.5 / IELTS Online ≥ 6.5 / IELTS One Skill Retake
- Cambridge Test of English ≥ 175
- PTE Academic ≥ 65
Optional Aptitude Test Score GMAT or GRE or TAGE MAGE or CAT* official test score report (CAT* for Indian students only) can add value to your application
- CV
- Letter of motivation
- Academic transcripts
- Two letters of recommendation
- Online video interview
*English native speakers or those holding a degree taught in English (minimum three years) are eligible for an English Test waiver.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
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