Courses at master level

When are single courses at master level published?

The courses are offered in the autumn and spring, respectively. Single courses for the spring semester are published in late September. Single courses for the autumn semester are published in mid March.

Teaching and exam periods

The courses are either quarter courses or semester courses. You can see the approximate teaching and exam periods for different kinds of courses here:

Autumn	Teaching	Exams	Retake
Q1: 1st quarter	weeks 36-42	weeks 43-44	weeks 51-52 (Dec) and 1 (Jan)
Q2: 2nd	weeks 45-51	weeks 1-4	weeks 9-10
Semester	weeks 36-49	weeks 50-52 (Dec) and 1-4 (Jan)	February

Spring	Teaching	Exams	Retake
Q3: 3rd quarter	weeks 6-12	weeks 13-14	weeks 21-22
Q4: 4th quarter	weeks 15-21	weeks 22-26	weeks 31-35
Semester	weeks 6-19	weeks 20-26	August

New website - The courses have a new look

If you need the familiar overview while choosing your electives, you can use our temporary pdf which you might know from the old website.

See courses and electives and electives for spring 2026 (pdf).

Master courses

ECTS

7.5

15.0

Language

English

Danish

Type

Elective

Mandatory course – also offered as elective

Teaching period

Autumn – semester

Spring – semester

Autumn – 1st quarter

Autumn – 2nd quarter

Spring – 4th quarter

Summer

Teaching type

Hybrid

On campus

Status

Available places

Fully booked – waiting list open for exchange students

Fully booked – open for exchange students

Exam type

Individual

Group

Exam form

Written assignment and oral exam on campus

Written assignment

Oral exam on campus

Written exam on campus

Assessment

7 point grading scale

Viser 34 ud af 34 courses

Master

Advanced Mixed Methods

7.5 ECTS

Language: English

Exams:

Written assignment
Group exam, summer

Teaching period:

Spring – semester

Academic year: 2025/2026

Status: Available places

Statistics Quantitative methods Methodology

When are single courses at mas­ter level pub­lished?

Teach­ing and exam peri­ods

New website - The courses have a new look

Mas­ter courses

Advanced Mixed Methods

Advanced Quantitative Methods

Applied Machine Learning

Applied Urban Economics and Real Estate

Applying Data Analytics in Digital Business

Benchmarking

Big Data Analytics

Brand Analytics

Causal Data Science for Business Decision Making

Cross Section and Panel Econometrics

Cybersecurity Foundations, Threats, and Compliance

Digital Data Analytics and Strategic Foresight

Econometric Analysis of Firm Data

Econometrics

Energy System Economics and Modelling

Financial Econometrics

Frontiers of Digital Healthcare

Game Theory for Business and Data-driven Decision Making

Health Innovation Assessment and Advanced Cost Benefit

Innovation and Technology: A Quantitative Approach

Machine Learning and Deep Learning

Managerial Statistics for Innovation

Matematisk Finansiering 1

Mathematical Finance 2: Continuous Time Finance

Multivariate statistiske modeller

Natural Language Processing and Text Analytics

Predictive Analytics

Predictive Modeling og Machine Learning

Projektorienteret forløb

Python for the Financial Economist

Quantitative Risk Management – An Application of Machine Learning

Statistisk analyse af finansielle data

Stokastiske processer og deres statistiske analyse

Time Series for Economics, Business and Finance

Single, elect­ive and supplemen­tary courses

When are single courses at master level published?

Teaching and exam periods

Master courses

Single, elective and supplementary courses