Studying in the Master’s Programme in Business Analytics offers students a unique combination of skills in leadership, business, and technology. The programme fits industry and future needs, and graduates are innovative leaders of the digital and sustainable era. The programme provides students with in-depth knowledge in data-based decision-making and analytics and allows them to specialise in different business domains. In the first year of studies, students will develop a solid foundation for expertise in business analytics. Courses in for example information management and artificial intelligence are also available. In the second year, students specialise in a specific business domain such as Marketing Analytics, Supply Chain Analytics or Accounting Analytics. Students can also choose a minor, for example, Artificial Intelligence or Information Technology.
Upon graduating from the Business Analytics Programme, graduates will have:
- In-depth knowledge of advanced data analytics and business intelligence. Graduates possess essential knowledge of data-driven decision-making and problem-solving.
- A holistic understanding of sustainable business. As sustainability is at the core of all thriving businesses, graduates will be specialists in sustainable business decision-making.
- Necessary leadership skills. Graduates are great communicators and thoughtful leaders of diverse teams.
- Analytical thinking and decision-making skills. Graduates are critical thinkers who analyse business decisions based on data.
Compulsory studies 51 cr
Code |
Course name |
ECTS credits |
Period |
30E03000 |
Data Science for Business I |
6 |
I |
ISM-E1004 |
Business Analytics 2 |
6 |
III |
ISM-E5001 |
Master's Thesis Seminar |
3 |
I-II, III-V |
BIZ.matr |
Maturity Test |
0 |
|
ISM.thes |
Master's Thesis |
30 |
|
Choose on of the following: |
|
|
|
30E03500
57E00500
|
Capstone: Data Science for Business II
OR
Capstone: Business Intelligence
|
6
6
|
II
IV
|
Elective studies 35–36 cr
Choose 2 courses (11–12 cr) from the following list. You can include one Capstone course here if it is not included in the compulsory studies.
Code |
Course name |
ECTS credits |
Period |
30E03500 |
Capstone: Data Science for Business II 1) |
6 |
II |
57E00500 |
Capstone: Business Intelligence 1) |
6 |
IV |
27E01000 |
Decision Making and Choice Behavior |
6 |
V |
30E00400 |
Simulation |
6 |
I |
CS-E5710 |
Bayesian Data Analysis |
5 |
I–II |
MS-E2112 |
Multivariate Statistical Analysis |
5 |
III–IV |
CS-E4710 |
Machine Learning: Supervised Methods |
5 |
I–II |
ISM-E1003 |
Predictive Analysis |
6 |
TBA |
BIZ-E0100 |
Customized student business project |
6 |
|
1) If not included in the compulsory studies
Specialization studies 24 cr
Choose one specialization field from the following: Accounting Analytics, Marketing Analytics or Supply Chain Analytics.
Accounting Analytics
Choose 24 credits
Code |
Course name |
ECTS credits |
Period |
ABL-E2606 |
Data Protection |
6 |
I |
ABL-C1102 |
Hands-On Analytics on Accounting Information Systems |
6 |
IV |
ABL-E1300 |
Big Data Analysis in Accounting |
6 |
IV |
ABL-C1103 |
Data Analytics for Accounting and Audit |
6 |
V (2022–2023), III 2023-2024 (added on 20 December 2023) |
21E00052 |
Data-Driven Business |
6 |
II, III |
Marketing Analytics
Choose 24 credits
Code |
Course name |
ECTS credits |
Period |
MARK-E0047 |
Digital Marketing Communications |
6 |
I |
MARK-C6000 |
Market Intelligence and Customer Insights |
6 |
I |
MARK-C6050 |
Marketing Analytics: From Data to Decisions with R |
6 |
I (2022-2023)
II (2023-2024)
|
ABL-E2606 |
Data Protection |
6 |
I |
21E00052 |
Data-Driven Business |
6 |
II, III |
MARK-E0010 |
Technology-driven Service Strategy |
6 |
III |
MARK-E0046 |
Digitalisation of Markets and Consumption |
6 |
IV |
MARK-E1047 |
Digital Marketing: Technological Innovation in Service |
6 |
IV, V |
MARK-C6055 |
Marketing Analytics: Introduction to the use of data in marketing decision making |
6 |
V |
Supply Chain Analytics
Choose 24 credits
Code |
Course name |
ECTS credits |
Period |
35E03000 |
Sustainable Supply Chains |
6 |
I |
35E02000 |
Procurement and Strategic Sourcing |
6 |
II |
35E00350 |
Sales and Operations Planning |
6 |
IV |
35E00400 |
Coordination of Supply Chains |
6 |
V |
35E00750 |
Logistics Systems and Analytics |
6 |
No teaching in 2022–2023
II (2023–2024)
|
35E00550 |
Quality and Performance Management |
6 |
III |
35E00650 |
Quantitative Models in SCM/OM |
6 |
TBA |
ISM-E3002 |
Capstone: Future-proofing Supply Chains |
6 |
III |