24 monthsProgramme duration
36,000 EURTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
Other
Study Level
Masters
Study Mode
On Campus
The rise of business intelligence tools that utilize data analytics and AI has created a strong demand across industries for managers that can understand and leverage them effectively. To answer this demand, we have created the Master in Analytics and Artificial Intelligence (MAAI), a program that is purpose-built to train the next generation of data-driven leaders, combining knowledge from master's degrees in data analytics and management, with the latest insights on AI.
The MAAI aims to build up your quantitative and managerial abilities to prepare a new generation of future leaders with in-demand skills:
- Develop and refine your analytic and data-management skills and learn how to integrate them into strategic leadership
- Get hands-on experience working with the latest AI and data management technologies
- Broaden your understanding of implementing AI tools and the challenges of doing so
- Apply your skills to real-life business-analytics projects to grasp the broader context of analytics and AI in the world of business.
Programme overview
Main Subject
Business Analytics
Degree
Other
Study Level
Masters
Study Mode
On Campus
The rise of business intelligence tools that utilize data analytics and AI has created a strong demand across industries for managers that can understand and leverage them effectively. To answer this demand, we have created the Master in Analytics and Artificial Intelligence (MAAI), a program that is purpose-built to train the next generation of data-driven leaders, combining knowledge from master's degrees in data analytics and management, with the latest insights on AI.
The MAAI aims to build up your quantitative and managerial abilities to prepare a new generation of future leaders with in-demand skills:
- Develop and refine your analytic and data-management skills and learn how to integrate them into strategic leadership
- Get hands-on experience working with the latest AI and data management technologies
- Broaden your understanding of implementing AI tools and the challenges of doing so
- Apply your skills to real-life business-analytics projects to grasp the broader context of analytics and AI in the world of business.
Admission Requirements
- A previous degree (at least Bachelor's equivalent) with excellent grades. If you are finishing your undergraduate studies within the next year, your application will also be considered.
- Ideally, applicants to the MAAI programs will have between 0-3 years of post-graduate work experience. Applicants with up to five years of post-graduate work experience will be considered for admission on a case-by-case basis, following assessment and alignment of their academic and professional goals to the respective program.
- English language proficiency test scores (if applicable)*
- Proof of strong quantitative skills, such as a degree in an analytical field or GMAT/ GMAT FOCUS/ GRE scores**
- Completed application - including essays, one reference and €50 application fee.
*ESMT expects a score of 100 points in the TOEFL, 7.0 in the IELTS or 850 in the TOEIC. The ESMT TOEFL institution code is 8707. You will receive a waiver for the English proficiency test if English is your native language or if you have completed a university degree completely taught in English.
** Above-average and well-balanced GMAT, GMAT Focus, or GRE scores are typical, but not obligatory, if you can provide alternative evidence of outstanding quantitative skills and/or scientific training within your Bachelor’s studies with competitive grades.
Evidence of scientific training can be proven from one of the following:
Bachelor’s degree specialization in engineering (chemical, civil, electrical, mechanical, environmental, or other engineering application)
Natural sciences (biology, chemistry, physics, or other natural science), mathematics, statistics, or other quantitative science economics, where the majority of courses and research was theoretical and quantitative in nature rather than applied.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
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