Artificial Intelligence in Business Major
Artificial Intelligence in Business - Major on the Master in Management Program
About the major
- Basic Python and Machine Learning (semester I)
- Designing applications with low and no code tools (semester II)
Please be advised that the major will launch only if a minimum amount of 17 students sign up for the major.
Partners of the major
A word from the major's leader and coordinator
Program highlights
Our students will benefit from the only Major of this kind in the region. The unique blend of technological skills and managerial competences attracts candidates from around the world, rendering the program a regional hub for digital economy.
The program is led by accomplished lecturers with strong, international background. Our scholarly staff are both business professionals and academics, understanding the needs to cross sectoral silos.
Students learn by working directly with code and on real business problems. Lecturers serve as mentors in this process, helping with technical difficulties and consulting projects.
The program never stops updating. We always make sure that the latest & incoming technologies are taken into account, thus allowing the students to stay ahead of the market in understanding what innovation comes next.
Career opportunities
The studies provide knowledge and competences enabling students to take up employment as a data analysis specialist. They also give valuable preparation for work in consulting (especially in IT consulting) and in corporations on managerial positions.
Typical organizations employing graduates are production and service enterprises, banks, insurance and telecommunications companies, but also the public administration, as well as research centers for data analysis and organizations focused on the digital economy: e-commerce, start-ups.
Selected courses
- Unique courses such as:
- Programming in R
- Managing IT and AI Projects
- Deep Learning
- Natural Language Processing
Class schedule
Part-time online programs
Part time program classes take place on Thursday and Friday (in the afternoon), Saturday and Sunday (in the morning and in the afternoon).