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 BAN402 Decision Modelling in Business 7,5 Autumn
BAN403 BAN403 Simulation of Business Processes 7,5 Spring
BAN404 BAN404 Statistical Learning 7,5 Spring
BAN405 BAN405 Python Programming for Data Science 7,5 Autumn

Electives - Business applications

Code Name Stp Semester
BAN425 BAN425 Applied Risk Management 2,5 Spring
BAN427 BAN427 Insurance Analytics 2,5 Autumn
BAN434 BAN434 Social and Economic Networks 7,5 Autumn
BAN435 BAN435 Blockchain Technology and Applications 2,5 Autumn
BAN439 BAN439 Detecting Fraud through Textual Analysis 2,5
BAN440 BAN440 Data Driven Business Analysis 7,5 Spring
BAN442 BAN442 From data to value: Machine Learning with Python 2,5 Autumn
BAN443 BAN443 Transforming Business with AI: The Power of Large Language Models 7,5 Autumn
BAN444 BAN444 Digital Identity Management: Technology and Applications 2,5 Spring
BUS401E BUS401E Strategic Profitability Analysis 7,5 Autumn
BUS401N BUS401N Strategic Profitability Analysis (N) 7,5 Spring
BUS403 BUS403 Supply Chain Management 7,5 Spring
BUS429 BUS429 Pricing Analytics and Revenue Management 7,5
BUS432 BUS432 Operation Management (N) 7,5 Spring
BUS465 BUS465 Detecting Corporate Crime 7,5
BUS470 BUS470 Strategic Pricing and Competition 7,5
ECN425 ECN425 Solving Economic and Social Problems with Big Data 7,5 Spring
ECN431 ECN431Data Driven Business Analysis (replaced by BAN440) 7,5
ECN435 ECN435 Data-Driven Public Policy 7,5
ENE431 ENE431 Shipping Economics and Analytics 7,5 Autumn
ENE434 ENE434 Energy Industry Analytics 7,5 Spring
FIE453 FIE453 Big Data with Applications to Finance 7,5
MBM433 MBM433 Customer Analytics in a Digital World 7,5 Spring
MBM436 MBM436 Strategic Marketing Analytics for Digital Businesses 7,5
STR453 STR453 Digitalization (N) 7,5 Spring

Electives - methodological courses

Code Name Stp Semester
BAN401 BAN401 Applied Programming and Data Analysis for Business 7,5 Autumn
BAN423 BAN423 Benchmarking with DEA, SFA, and R 2,5
BAN426 BAN426 Applied Data Science 2,5 Spring
BAN430 BAN430 Forecasting 7,5
BAN432 BAN432 Applied Textual Data Analysis for Business and Finance 7,5
BAN436 BAN436Introduction to Python 2,5
BAN437 BAN437 Stochastic optimization using algebraic modelling languages 2,5 Spring
BAN438 BAN438Application Development in Python 7,5
BAN441 BAN441 Introduction to the use of Spatial Data 2,5 Autumn
ECN430 ECN430 Empirical Macroeconomics and Finance 7,5 Spring
ECO401 ECO401 Optimisation and Microeconomic Theory 7,5 Autumn
STR459 STR459Artificial Intelligence and Robotics 7,5

Master's Thesis

Code Name Stp Semester
BANTHE BANTHE Independent work/thesis in Business Analytics 30,0