Courses in Business Analytics (BAN) major

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Courses in Business Analytics (BAN) major

Select courses equivalent to 45 ECTS according to the plan below for a major in Business Analytics (BAN). Together with your master thesis (30ECTS), this constitutes your major.

Please note: All students starting in the autumn of 2024 and later are required to take at least 7,5 ECTS credits from the courses designated "Ethics, Responsibility and Sustainability" (ERS).

Business Analytics

Programming - minimum 7,5 stp

Code Name Stp Semester
BAN400 BAN400R Programming for Data Science 7.5 Autumn
BAN401 BAN401Applied Programming and Data Analysis for Business 7.5 Autumn

Predictive analytics - mandatory

Code Name Stp Semester
BAN404 BAN404Statistical Learning 7.5 Spring

Business Modelling - mandatory courses

Code Name Stp Semester
BAN402 BAN402Decision Modelling in Business 7.5 Autumn
BAN403 BAN403Simulation of Business Processes 7.5 Spring

Electives - Business applications

Code Name Stp Semester
BAN425 BAN425Applied Risk Management 2.5 Spring
BAN427 BAN427Insurance Analytics 2.5 Autumn
BAN434 BAN434Social and Economic Networks 7.5 Autumn
BAN435 BAN435Blockchain Technology and Applications 2.5 Autumn Spring
BAN439 BAN439Detecting Fraud through Textual Analysis 2.5 Autumn
BAN440 BAN440Data Driven Business Analysis (replacing ECN431) 7.5 Spring
BAN442 BAN442From data to value: Machine Learning with Python 2.5 Autumn
BAN443 BAN443Transforming Business with AI: The Power of Large Language Models 7.5 Autumn
BUS401E BUS401EStrategic Profitability Analysis 7.5 Autumn
BUS401N BUS401NStrategic Profitability Analysis 7.5 Spring
BUS403 BUS403Supply Chain Management 7.5 Autumn
BUS429 BUS429Pricing Analytics and Revenue Management 7.5 Spring
BUS432 BUS432Operation Management 7.5 Spring
BUS465 BUS465Detecting Corporate Crime 7.5 Spring
BUS470 BUS470Retail Analytics 7.5 Spring
ECN425 ECN425Solving Economic and Social Problems with Big Data 7.5 Spring
ECN435 ECN435Data-Driven Public Policy 7.5 Autumn
ENE431 ENE431Shipping Economics and Analytics 7.5 Autumn
ENE434 ENE434Energy Industry Analytics 7.5 Spring
FIE453 FIE453Big Data with Applications to Finance 7.5 Autumn
FIE458 FIE458Deep Learning with Applications to Finance 7.5 Spring
MBM433 MBM433Customer Analytics in a Digital World 7.5 Spring
MBM436 MBM436Strategic Marketing Analytics for Digital Businesses 7.5 Spring
STR453 STR453Digitalization 7.5 Spring

Electives - methodological courses

Code Name Stp Semester
BAN437 BAN437Stochastic Optimization using Algebraic Modelling Languages 2.5 Spring
BAN423 BAN423Benchmarking with DEA, SFA, and R 2.5 Autumn
BAN426 BAN426Applied Data Science 2.5 Spring
BAN430 BAN430Forecasting 7.5 Spring
BAN432 BAN432Applied Textual Data Analysis for Business and Finance 7.5 Autumn
BAN436 BAN436Introduction to Python 2.5 Spring
BAN438 BAN438Application Development in Python 7.5 Spring
BAN441 BAN441Introduction to the use of Spatial Data 2.5 Autumn
ECN430 ECN430Empirical Methods and Applications in Macroeconomics and Finance 7.5 Spring
ECO401 ECO401Optimisation and Microeconomic Theory 7.5 Autumn
STR459 STR459Artificial Intelligence and Robotics 7.5 Spring

Master's Thesis

Code Name Stp Semester
BANTHE BANTHEIndependent work/thesis in Business Analytics 30 Autumn Spring