Courses in Business Analytics (BAN) major before autumn 2024

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.

Business Analytics

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
BAN420	BAN420Introduction to R (Expired)	2.5

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
BAN439	BAN439Detecting Fraud through Textual Analysis	2.5	Autumn
BAN440	BAN440Data Driven Business Analysis	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
BAN444	BAN444Digital Identity Management: Technology and Applications	2.5	Spring
BUS401E	BUS401EStrategic Profitability Analysis	7.5	Autumn
BUS401N	BUS401NStrategic Profitability Analysis	7.5	Spring
BUS403	BUS403Supply Chain Management	7.5	Autumn
BUS427	BUS427Advanced Management Accounting (not offered)	7.5
BUS429	BUS429Pricing Analytics and Revenue Management	7.5	Spring
BUS432	BUS432Operation Management	7.5	Spring
BUS465	BUS465Detecting Corporate Crime	7.5
BUS470	BUS470Strategic Pricing and Competition	7.5	Spring
ECN425	ECN425Solving Economic and Social Problems with Big Data	7.5	Spring
ECN431	ECN431Data Driven Business Analysis (replaced by BAN440)	7.5
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
MBM433	MBM433Customer Analytics in a Digital World	7.5	Spring
MBM436	MBM436Strategic Marketing Analytics for Digital Businesses	7.5
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
BAN426	BAN426Applied Data Science	2.5	Spring
BAN430	BAN430Forecasting	7.5
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 Macroeconomics and Finance	7.5	Spring
ECO401	ECO401Optimisation and Microeconomic Theory	7.5	Autumn
STR459	STR459Artificial Intelligence and Robotics	7.5	Spring