Courses in Business Analytics major before autumn 2021

Courses in Business Analytics major before autumn 2021

Select courses equivalent to 45 ECTS according to the plan below for a major in Business Analytics (BAN).

Please note: all students are required to have at least 2.5 ECTS from the courses designated "Ethics".

Business Analytics - from autumn 2020

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 2.5 Autumn

Predictive analytics - mandatory

Code Name Stp Semester
BAN404 BAN404Predictive Analytics with R 7.5 Spring

Master's Thesis

Code Name Stp Semester
BANTHE BANTHEIndependent work/thesis in Business Analytics 30 Autumn 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
BAN424 BAN424Applications of Business Analytics 2.5 Autumn
BAN425 BAN425Applied Risk Management 2.5 Spring
BAN427 BAN427Insurance Analytics 2.5 Autumn
BAN433 BAN433Applied Cloud Computing for Enterprises (not offered) 2.5 Spring
BAN434 BAN434Social and Economic Networks 7.5 Spring
BAN435 BAN435Blockchain Technology and Cryptocurrencies (expired) 2.5 Autumn
BUS401E BUS401EStrategic Profitability Analysis and Pricing 7.5 Autumn
BUS401N BUS401NStrategic Profitability Analysis and Pricing (not offered) 7.5 Autumn Spring
BUS403 BUS403Supply Chain Management 7.5 Autumn
BUS427 BUS427Advanced Management Accounting (not offered) 7.5
BUS429 BUS429Pricing Analytics and Revenue Management 7.5 Autumn
BUS432 BUS432Operation Management 7.5 Spring
BUS432E BUS432EOperations Management (not offered) 7.5
BUS460 BUS460Operational Risk Management 7.5 Autumn
BUS465 BUS465Detecting Corporate Crime 7.5 Spring
BUS470 BUS470Retail Analytics 7.5 Spring
ECN431 ECN431Applied Data Driven Business Analysis 7.5 Spring
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
STR453 STR453Digitalization 7.5 Spring

Electives - methodological courses

Code Name Stp Semester
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 BAN436Data analysis in Python 2.5 Spring
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 Autumn