Department of Economics

Lund University School of Economics and Management

MSc in Data Analytics and Business Economics

The programme aims to train students in understanding the role of data analytics in the digital economy in general, and in particular how organisations can utilize the increasing availability of “big data” to their advantage by making better-informed decisions. Students will learn programming and data management, how to use statistical machine learning tools in order to explore and deduct patterns from data, and how to incorporate the results obtained into strategic decision making.

This one-year Master’s degree comprises of 60 ECTS credits. The year is divided into two 30 ECTS credits terms. 

Literature list
Autumn term 2023/spring term 2024
Autumn term 2022/spring term 2023

Autumn term (period 1 resp. 2)
1. DABN11 - Introduction to Programming (3.5 hp)
1. DABN19 - Data Visualisation (4 hp)
1. DABN13 - Machine Learning from a Regression Perspective (7.5 hp)
2. DABN14 - Advanced Machine Learning (7.5 hp)
2. DABN20 - Working with Databases (3.5 hp)
2. DABN18 - Legal aspects of Data Analytics (4 hp)

Spring term 
1. Two of the courses below: 
DABN17 - Analytics-based Strategic Management (7.5 hp)
INFN65 - Business and Artificial Intelligence (7.5 hp)
NEKN33 - Applied Microeconometrics (7.5 hp)
NEKN34 - Time Series Analysis (7.5 hp)
STAN47 - Deep Learning and Artificial Intelligence Methods (7.5 hp)
STAN49 - Analysis of Textual Data (7.5 hp)
2. DABN01 - Master essay (15 hp)



programme director

Professor Joakim Westerlund
Office: Alfa 1: 4027
Phone: + 46 222 8997

programme coordinator

Administrative Officer Ulf Persson 
Office: EC1:283
Phone: + 46 46 222 4290