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.

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.


Autumn (I-II)

CS-C3120 (I-II)
Human-Computer Interaction, 5cr

CS-A1111 (I-II)
Basics Course in Programming Y1, 5cr

ISM-C2002 (I-II)
MySQL for Data Analytics, 6cr

ISM-C1004 (II)
Business Analytics 1, 6cr

Spring (Periods III-V)

ISM-C1002 (III-IV)
Advanced Course in Statistics and Data Analytics, 6cr

CS-A1121 (III-V)
Basic Course in Programming Y2, 5cr

CS-A1150 (III-V)
Databases, 5cr

ISM-C2003 (V)
Capstone: Business Process Management in the Digital Era, 6cr

+ language courses, 11cr total



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

Spring (III-V)

Exchange Studies (III-V)
Exchange to partner destination, 24cr



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

Spring (III-IV)

CS-E4891 (IV-V)
Deep Generative Models D, 5cr

… and continue working on thesis