Data Analytics and Business Economics - Master's Programme 12 months Postgraduate Programme By Lund University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

67,500 SEKTuition Fee/year

Application Deadline

15 Jan, 2026Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The programme is multidisciplinary and is designed to solve business problems by integrating statistics, economics, business, informatics and law. 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. You will also learn about the relevant data legislation, and why it is important to ensure regulatory compliance when working with sensitive data. You will develop your communicative and collaborative skills. You will learn not only how to work the numbers and draw conclusions, but also how to clearly communicate your results to data technicians and business managers alike. The program provides rigorous, hands-on training, and it does so through a careful blend of lectures, seminars, case assignments, computer labs and self-studies.

Questions about the programme and studying at Lund University?
Fill in our contact form
We will get back to you as soon as possible.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The programme is multidisciplinary and is designed to solve business problems by integrating statistics, economics, business, informatics and law. 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. You will also learn about the relevant data legislation, and why it is important to ensure regulatory compliance when working with sensitive data. You will develop your communicative and collaborative skills. You will learn not only how to work the numbers and draw conclusions, but also how to clearly communicate your results to data technicians and business managers alike. The program provides rigorous, hands-on training, and it does so through a careful blend of lectures, seminars, case assignments, computer labs and self-studies.

Questions about the programme and studying at Lund University?
Fill in our contact form
We will get back to you as soon as possible.

Admission Requirements

89+
3+
6.5+

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). English level 6 is required.

It is recommended that students have at least 10 credits in economics and 10 credits in business administration. More specifically, it is required that the students have one of the following backgrounds:

  • an undergraduate degree including at least 30 credits in statistics and mathematics with at least one course in statistics that includes regression analysis and one course in mathematics;
  • an undergraduate degree including at least 60 credits in economics, informatics or business administration with at least one course in econometrics or regression analysis and one course in statistics or mathematics;
  • an undergraduate degree including at least 60 credits in statistics with at least one course in regression analysis.

15 Jan 2026
1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

International
67,500 SEK

Scholarships

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