General Business Analytics

Last Updated: 2025

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.

Recommended Bachelor’s Minors for General Business Analytics

Recommended Master’s Minors for General Business Analytics



= 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 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.


Autumn (I-II)

CS-C3240 (I)
Machine Learning, 5cr

ISM-C1003 (I-II)
Mathematical Tools for Analytics, 6cr

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

30C02000 (V)
Negotiation Analytics, 6cr

+ language courses, 11cr total


3rd Bachelor’s Year


Autumn (I-II)

CS-A1141 (I-II)
Data Structures and Algorithms Y, 5cr

35C03000 (I-II)
Capstone: Process Analysis and Management, 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 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 2024-2026 Curriculum Page.


Autumn (Periods I-II)

30E03000 (I) <or IV>
Data Science for Business I, 6cr

ISM-E1002 (I) <or III>
Survey Research, 6cr

MS-C2128 (II)
Prediction and Time Series Analysis, 5cr

21E00052 (II) <or III>
Data-Driven Business I, 6cr

Spring (Periods III-V)

ISM-E1004 (III)
Business Analytics 2, 6cr

35E00550 (III)
Quality and Performance Management, 6cr

ISM-E1006 (IV)
Decision Analytics for Consulting, 6cr

CS-E4840 (IV)
Information Visualization D, 5cr

MARK-C0065 (V) <or II>
Managerial Marketing Analytics with AI, 6cr

35E00400 (V)
Coordination of Supply Chains, 6cr



2nd Master’s Year


Autumn (I-II)

CS-E4715 (I-II)
Supervised Machine Learning, 5cr

ABL-E2606 (I)
Data Protection, 6cr

ISM-E3003 (II)
Operations and Supply Chain Analytics, 6cr

I30E03500 (II)
Capstone: Data Science for Business II D, 6cr

Spring (III-V)

57E00500 (IV-V)
Capstone: Business Intelligence, 6cr

ISM-E1999 (III-V) <or I-II>
Master’s Thesis Seminar, 3cr

ISM.thes
Master’s Thesis, 30cr