Minor in Mathematical Machine Learning

A minor gives you the opportunity of having a second specialization in your degree. The minor is a bundle of three to four electives that can be chosen separately but if chosen together rewards a minor. 

The minor provides the student with analytical tools to examine the increasing amount of data which comes up within all industries and in the public sector. Statistical and probabilistic methods have become more and more widely used as analytical tools and are also essential components of machine learning. Learning from data and accounting for the inherent uncertainty when making predictions are essential for the understanding of complex systems.

The below table lists the structure and the ECTS credits of the individual courses. The course descriptions are available in the online course catalogue. Direct links are inserted in the below table. 

Strong quantitative foundations to extract information from data have become increasingly important now and in the future. The minor consists of three to four courses that each take up methods for mathematical statistical and/or econometric analysis of data from businesses. The courses are designed to make the student confidential with advanced statistical modeling and to give a deep and comprehensive knowledge of modern methods for inference and prediction.

The minor consists of the examinations listed below. The learning objectives and the regulations of the individual examinations are prescribed in the online course catalogue. Direct links to the individual examinations are inserted in the table below.  

There are no compulsory assignments or requirements.

Minor coordinator 
Jens Dick-Nielsen, jdn.fi@cbs.dk   

Study Board 
Finance, Economics and Mathematics -  FEM Study Board

How to sign up 
CMECM1002U - Minor in Mathematical Machine Learning