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).

Select your starting year/semester

Business Analytics

Mandatory

Code Name Stp Semester
BAN402 BAN402Decision Modelling in Business 7.5 Autumn
BAN403 BAN403Simulation of Business Processes 7.5
BAN404 BAN404Statistical Learning 7.5
BAN405 BAN405Python Programming for Data Science 7.5 Autumn

Electives - Business applications

Code Name Stp Semester
BAN425 BAN425Applied Risk Management 2.5
BAN427 BAN427Insurance Analytics 2.5 Autumn
BAN434 BAN434Social and Economic Networks 7.5 Autumn
BAN435 BAN435Blockchain Technology and Applications 2.5 Autumn
BAN439 BAN439Detecting Fraud through Textual Analysis 2.5
BAN440 BAN440Data Driven Business Analysis 7.5
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
BUS403 BUS403Supply Chain Management 7.5
BUS429 BUS429Pricing Analytics and Revenue Management 7.5
BUS432 BUS432Operation Management 7.5
BUS465 BUS465Detecting Corporate Crime 7.5
BUS470 BUS470Strategic Pricing and Competition 7.5
ECN425 ECN425Solving Economic and Social Problems with Big Data 7.5
ECN431 ECN431Data Driven Business Analysis (replaced by BAN440) 7.5
ECN435 ECN435Data-Driven Public Policy 7.5
ENE431 ENE431Shipping Economics and Analytics 7.5 Autumn
ENE434 ENE434Energy Industry Analytics 7.5
FIE453 FIE453Big Data with Applications to Finance 7.5
MBM433 MBM433Customer Analytics in a Digital World 7.5
MBM436 MBM436Strategic Marketing Analytics for Digital Businesses 7.5
STR453 STR453Digitalization 7.5

Electives - methodological courses

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

Master's Thesis

Code Name Stp Semester
BANTHE BANTHEIndependent work/thesis in Business Analytics 30.0