General Business Analytics
Last Updated: 2026
Revenue, forecasting, dashboards, ROI, predictive models… Unlock the power of data-driven business decisions. This Study Path is recommended for students who want to acquire a range of analytical skills across different applications rather than focus on one (i.e. supply chain, marketing, AI, etc).
Programme Curriculum
For comprehensive information about the requirements and course options for the ISM/BA degrees, please view the links below.
- ISM 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 General Business Analytics
- Tietotekniikka L (sivuaine)
- Tietotekniikka Y (sivuaine)
- Taloustiede
- ITP (summer programme)
- Systeemitieteet
- Mathematics
Recommended Master’s Minors for General Business Analytics
= 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 general business analytics 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-A1141 (I-II)
Data Structures and Algorithms Y, 5cr
BIZ3130.kand (I-II)
Bachelor’s Thesis and Seminar, 10cr
35C03000 (II)
Capstone: Process Analysis and Management, 6cr
+ language courses, 11cr total
1st Master’s Year
This is a complete sample study path recommended for a student interested in general business analytics that includes all credits needed for Master’s graduation from BA. In the example below, a Master’s minor in Analytics and Data Science is assumed.
If you are interested in pursuing an ISM Master’s instead, please reference the ISM Master’s 2026-2028 Curriculum Page.
Autumn (Periods I-II)
30E03000 (I)
Data Science for Business I, 6cr
ISM-E1011 (II) <or IV>
Quantitative Behavioral Research, 6cr
MS-C2128 (II)
Prediction and Time Series Analysis, 5cr
21E00052 (II) <or III>
Data-Driven Business I, 6cr
MARK-C0065 (II)
Managerial Marketing Analytics with AI, 6cr