
Artificial Intelligence
Last Updated: 2025
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 (2024-2026)
- ISM Master’s Curriculum Page (2024-2026)
- Business Analytics Master’s Curriculum Page (2024-2026)
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
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 2024-2026 Curriculum Page.
Autumn (I-II)
30E03000 (I) <or IV>
Data Science for Business I, 6cr
ABL-E2606 (I)
Data Protection, 6cr
CS-C3120 (I-II)
Machine Learning, 5cr
37E00200 (II)
Strategic Information Technology Management, 6cr
Spring (III-IV)
ISM-E1004 (III)
Business Analytics 2, 6cr
CS-E4800 (III-IV)
Artificial Intelligence D, 5cr
CS-E4890 (III-IV)
Deep Learning D, 5cr
ISM-E2005 (IV)
Digital Service Product Management, 6cr
37E00100 (IV)
Information Economy, 6cr
37E44000 (V)
Critical Issues in Information Systems Research D, 6cr
MARK-C0065 (V)
Managerial Marketing Analytics with AI, 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
I30E03500 (II)
Capstone: Data Science for Business II D, 6cr
ISM-E1999 (I-II) <or III-V>
Master’s Thesis Seminar, 3cr
ISM.thes
Master’s Thesis, 30cr