The Master's programme in Data Analytics and Business Economics from Lund University provides rigorous, hands-on training, and it does so through a careful blend of lectures, seminars, case assignments, computer labs and self-studies.
Have you noticed how Netflix and YouTube send you suggestions based on your previous views, or how Spotify makes suggestions based on what you have listened to in the past, or how Amazon shows similar products that you might be interested in based on previous purchases, or how the ads showing on your Facebook page are related to what you purchased or viewed online?
These are companies that are known for their use of “big data” and analytics to predict and steer customer behaviour. But the truth is that today most organisations are heavily reliant on big data. And the more data businesses amass, the more important it becomes for organisations to be able to harness the information their data provides and use it strategically to improve their operations. This development has given rise to a huge demand for technically talented individuals who can leverage analytics to translate big data into valuable business insights.
In particular, organisations are searching for analytically talented individuals with statistical and programming skills that also understand the business-economic context in which they will be working, as well as the relevant legal and ethical boundaries of that work. The aim of the MSc in Data Analytics and Business Economics is to meet this demand in the labor market.
As a student, you will will learn how to write your own computer code, how to manage data, how to use statistical machine learning tools in order to explore and deduct hidden patterns from data, and how to incorporate the results obtained into strategic decision-making.
Graduates from the MSc in Data Analytics and Business Economics are at a competitive advantage as organizations are looking for people who are not only fluent in the language of data but who also understand how to apply that data in the business-economic context. This layered skillset enables them to communicate effectively with clients, programmers, managers, data scientists, and policy makers to drive strategic decision-making.
Get more detailsVisit official programme website
- Programming in R
- Data Visualisation
- Machine Learning from a Regression Perspective
- Legal Aspects of Data Analytics
- Working with Databases
- Advanced Machine Learning
- 12 months
Start dates & application deadlines
- Apply before
You should apply between mid-October to 15 January for studies starting in the autumn semester (August/September).
DisciplinesData Science & Big Data Machine Learning View 25 other Masters in Machine Learning in Sweden
We are not aware of any academic requirements for this programme.
- The programme is developed for students who have recently finished an undergraduate degree (BA/BSc) of at least three years, 180 credits, in a subject matter including quantitative methods.
- This opens up for a broad spectrum of backgrounds from mathematics, statistics, economics, informatics and elsewhere. It is of special importance that the undergraduate studies include courses in quantitative methods (statistics and linear algebra are of particular importance).
International11739 EUR/yearTuition FeeBased on the tuition of 11739 EUR per year during 12 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR per year during 12 months.
Full programme/course tuition fee: SEK 120 000
Living costs for Lund
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.