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

Master courses

Filter by topic

Showing 47 out of 47 courses

Sort by

MSc IBP

Advanced Mixed Methods

7.5 ECTS

Language: English

Exam:

Written assignment
Group exam, summer

Teaching period:

Spring – semester

Academic year: 2026/2027

Status: Available places

Statistics Quantitative methods Methodology Theory of science

When are single courses at mas­ter level pub­lished?

Teach­ing and exam peri­ods

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

Business Analytics

Business Analytics - Data Driven Operations

Causal Data Science for Business Decision Making

Concepts in Social Data Science

Cybersecurity Foundations, Threats, and Compliance

Digital Data Analytics and Strategic Foresight

Econometric Analysis of Firm Data

Econometrics

Empirical Finance

Energy System Economics and Modelling

Experimental methods

Financial Econometrics

Financial Intermediation

Frontiers of Digital Healthcare

Game Theory for Business and Data-driven Decision Making

Health Innovation Assessment and Advanced Cost Benefit

Irrationality, Economics and Finance: A Behavioral and Experimental Approach

Linear Algebra and Applied Statistics

Machine Learning and Deep Learning

Managerial Statistics for Innovation

Market Informed Decisions

Matematisk Finansiering 1

Mathematical Finance 2: Continuous Time Finance

Minor in Mathematical Finance

Minor in Mathematical Machine Learning

Minor in Quantitative Methods in Economics, Business and Finance

Minor in Risk Management

Multivariate statistiske modeller

Natural Language Processing and Text Analytics

Predictive Analytics

Predictive Modeling and Machine Learning

Probabilistic Machine Learning

Python for the Financial Economist

Quantitative Methods

Quantitative Risk Management – An Application of Machine Learning

Sales and Marketing Analytics

Stokastiske processer og deres statistiske analyse

Time Series for Economics, Business and Finance

Topics in Data Analytics for Innovation, Technology, and Markets

Single, elect­ive and supplemen­tary courses

When are single courses at master level published?

Teaching and exam periods

Master courses

Single, elective and supplementary courses