Master’s programme in Data Analytics and Business Economics

Master of Science, major in data analytics and business economics | 1 year | 60 credits

Admission requirements

The  content and the degree of difficulty of the MSc in Data Analytics and Business Economics have been worked out in collaboration with the Advisory Board, because it knows firsthand what employers want. Some of the must-have skills when leaving the programme are: database  management, programming, data visualization, machine learning, and legal and business-economic know-how. These are skills that students will develop during the programme. Since most of these are technical in nature, it is important that students have a solid background in statistics and/or econometrics when entering the programme. In  particular, it is important for students to know regression analysis, as many machine learning techniques build on it. Math is also important, since much of the machine learning exposition will be based on linear  algebra. The formal requirement, in addition to an undergraduate degree, is therefore that students have enough credits in statistics, econometrics and math. 

Here are a few illustrative examples of course combinations at Lund University that fulfil these requirements:

  • Students with a background in business, economics or informatics who have taken Basic Course 1 in statistics (STAA31), Mathematical Methods for Economics (NEKG33) and Econometrics (NEKG31);
  • Students with a background in statistics who have taken Regression Analysis (STAG23);
  • Students with an engineering background who have taken Linear Algebra 1 (MATA22), Mathematical Statistics (MASB11) and/or Mathematical Statistics: Basic Course (MASA02) together with other math and statistics courses to meet the formal 30 credit requirement.

While students are not expected to have taken any programming courses prior  to entering the programme, programming will be introduced at a fast  pace. Some experience working with a script-based program such as R, Python, Matlab or Javascript is therefore useful when entering the programme.

Academic requirements

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).

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.

English language requirements

Strong English language communication skills are crucial to gain the full benefit of this programme.

What are our minimum requirements?
The English language entry requirement is the equivalent of English studies at upper secondary level in Sweden (gymnasium), called English 6/English Course B.

For international students, this can be demonstrated in various ways. You can demonstrate that you meet the English language requirement through certain upper secondary (high school) studies, certain university studies, or an internationally approved English test.

We prefer candidates to take the IELTS test where possible. We accept the following tests and minimum scores:

  • IELTS score of 6.5 (with no section less than 5.5)
  • TOEFL paper-based score of 4.5 (scale 1-6) in written test and a total score of 575
  • TOEFL internet based score of 20 (scale 0-30) in written test and a total score of 90 

Find out more about the English language requirements at Lund University’s international website

Selection to the programme

We normally look for undergraduates with excellent results from an internationally recognised university. Selection is based on academic merits from university studies (100%). This implies that an assessment will be made of the grades from previous studies at the undergraduate level. In the assessment, special weight will be given to grades on courses that prepare students for the curriculum of this study programme. We also take into account the standing of the institution where you studied your qualification.

GMAT and GRE tests

We do not require a GMAT or GRE score but a well-balanced score may strengthen your application to this particular programme.

Find out more about aptitude tests