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



= core course, highly recommended to complete at suggested timing

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

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

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

30C02000 (V)
Negotiation Analytics, 6cr

+ language or minor courses


3rd Bachelor’s Year


Autumn (I-II)

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

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

+ language or minor courses

Spring (III-V)

BIZ3130.kand (III-V)
Bachelor’s Thesis and Seminar, 10cr

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


1st BA 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

+ language or minor courses



2nd BA Master’s Year


Autumn (I-II)

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

ABL-E2606 (I)
Data Protection, 6r

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

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

+ language or minor courses

Spring (III-V)

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

ISM-E1999 (III-V)
Master’s Thesis Seminar, 3cr

ISM.thes
Master’s Thesis, 30cr