Artificial Intelligence
Last Updated: 2026
Be a business person on the cutting edge of technological innovation by combining AI with a thorough knowledge of analytics. This Study Path is recommended for those with a strong inclination for math and programming, as well as an interest in artificial intelligence.
Programme Curriculum
For comprehensive information about the requirements and course options for the ISM/BA degrees, please view the links below.
- Bachelor’s Curriculum Page (2026-2028)
- ISM Master’s Curriculum Page (2026-2028)
- Business Analytics Master’s Curriculum Page (2026-2028)
Recommended Bachelor’s Minors for Artificial Intelligence
Recommended Master’s Minors for Artificial Intelligence
= mandatory course, cannot be substituted with any other courses
= minor course
No icon = elective course — select courses to fit your personal study plan
It is recommended to take around 12 credits per period, though some students take up to 18 credits per period and still manage fine.
2nd Bachelor’s Year
This is a complete sample study path recommended for a student interested in artificial intelligence that includes all credits needed for Bachelor’s graduation from ISM. In the example below, a Bachelor’s minor in Tietotekniikka is assumed.
3rd Bachelor’s Year
Autumn (I-II)
CS-C3130 (I)
Information Security, 5cr
CS-A1141 (I-II)
Data Structures and Algorithms Y, 5cr
ISM-C1003 (I-II)
Mathematical Tools for Analytics, 6cr
BIZ3130.kand (I-II)
Bachelor’s Thesis and Seminar, 10cr
+ language courses, 11cr total
1st Master’s Year
This is a complete sample study path recommended for a student interested in artificial intelligence that includes all credits needed for Master’s graduation from ISM. In the example below, a Master’s minor in Machine Learning, Data Science, and Artificial Intelligence is assumed.
If you are interested in pursuing a Business Analytics Master’s instead, please reference the BA Master’s 2026-2028 Curriculum Page.
Autumn (I-II)
30E03000 (I)
Data Science for Business I, 6cr
ABL-E2606 (I)
Data Protection, 6cr
CS-C3240 (I)
Machine Learning, 5cr
37E00200 (II)
Strategic Information Technology Management, 6cr
MARK-C0065 (II)
Managerial Marketing Analytics with AI, 6cr
Spring (III-V)
ISM-E1004 (III)
Business Analytics 2, 6cr
ISM-E2007 (III)
Digital Sustainability and Ethics, 6cr
ISM-E2003 (III)
Information Security Management, 6cr
CS-E4800 (III-IV)
Artificial Intelligence D, 5cr
ISM-E2005 (IV)
Digital Service Product Management, 6cr
ISM-E2001 (IV)
Digital Platforms 2, 6cr
37E44000 (V)
Critical Issues in Information Systems Research D, 6cr
ISM-E2222 (V)
Current Topics in Digital Business D, 6cr
2nd Master’s Year
Autumn (I-II)
CS-E4715 (I-II)
Supervised Machine Learning D, 5cr
ELEC-E8125 (I-II)
Reinforcement Learning D, 5cr
ISM-E5001 (I-II) <or III-V>
Master’s Thesis Seminar, 3cr
30E03500 (II)
Capstone: Data Science for Business II D, 6cr
ISM.thes
Master’s Thesis, 30cr