Data Analytics and Business Economics - Master's Programme
Start
Autumn 2026
Duration
1 year
Level
Master's
Language
English
Place of study
Lund
Have you noticed how Netflix and YouTube send you suggestions based on your previous views? How Spotify makes suggestions based on what you have listened to in the past? How Amazon shows similar products that you might be interested in based on previous purchases?
These are companies that are known for their use of “big data” and analytics to predict and steer customer behaviour. Today, most organisations are heavily reliant on big data and need to harness the information their data provides and to use it to improve their operations. Organisations are searching for analytically talented individuals with statistical and programming skills that also understand the business-economic context, as well as the relevant legal and ethical boundaries. This multidisciplinary programme is designed to solve business problems by integrating statistics, economics, business, informatics and law. Close collaboration with our dedicated private sector advisors ensures that the programme provides relevant competences and meets the demands of the labour market.
Advisory Board
Our Advisory Board consists of local experts who know how to gain the most from data analytics in business and economics. They advise us how to keep the programme relevant so that our students graduate with the skills in demand by employers. Many board members choose to also participate actively in the teaching through guest lectures and thesis supervision. They are a highly valued resource to the programme.
International Master Class
Students with exceptional study results during the first semester at this programme, may compete for seats at the International Master Class programme. The International Master Class is a highly competitive opportunity to go on an exchange semester after finishing your Master’s studies.
In this programme you 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 draw conclusions from them. These technical skills form the backbone of the programme, and they do so because our private sector advisors deem them necessary. You will learn these skills while at the same time developing an understanding for what matters in business and economics. 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. Hence, you will learn not only how to work the numbers, but also how to communicate your results.
The programme provides rigorous, hands-on training, and it does so through a blend of lectures, seminars, case assignments, computer labs and self-studies. Technical know-how is best developed face-to-face. Most training is therefore done in this way, although some parts will be digital.
Accepted students are expected to have basic technical knowledge, be willing to study at fast pase, and to actively engage in learning. They are also expected to be proactive and independent, taking charge of their own education, time management, and seeking help when needed.
Be it the travel industry, technology, retail, healthcare, manufacturing, consulting, banking, finance, or insurance, transforming data into insights that can enhance decision-making is a key challenge for companies of every size, across all industries. Organisations in both the private and public sector are therefore looking for experts who have the capacity to use data to make informed decisions.
Graduates from the Master's programme in Data Analytics and Business Economics are at a competitive advantage as organisations are looking for people who are not only fluent in the language of data and statistics, 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.
Programme graduates can expect to take on roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, and Data Engineer. Potential employers include large companies from across sectors, tech companies, financial and governmental institutions, and consulting firms.
Prerequisites
An undergraduate degree (BA/BSc) of at least three years, 180 credits, in a subject matter including quantitative methods. More specifically, it is required that the students have: an undergraduate degree including one of the following: - at least 30 credits in statistics and mathematics with at least one course in statistics that includes regression analysis and one course in mathematics; - 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; - at least 60 credits in statistics with at least one course in regression analysis, English course 6 (advanced proficiency) For applicants not having a course named regression analysis or econometrics, it is important to include a course syllabus (or something similar) in the application, to demonstrate the fulfilment of this specific requirement. It is recommended that students have at least 10 credits in economics and 10 credits in business administration.
GMAT and GRE aptitude tests
We do not require a GMAT or GRE score but a well-balanced score may strengthen your application to this particular programme.
GMAT code: School of Economics and Management, Lund University: 8VR-PL-07. Lund University does not have a GRE code, but you are welcome to scan and upload officially issued documentation of your test result directly to University Admissions in Sweden.
Selection criteria
Selection is based on academic merits from university studies. In the assessment, special weight will be given to grades on courses that prepare students for the curriculum of this study programme.
Tuition fees for non-EU/EEA citizens
Citizens of countries outside:
- The European Union (EU)
- The European Economic Area (EEA) and
- Switzerland
are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.
Tuition fees, payments and exemptions
Full programme/course tuition fee: SEK 150,000
First payment: SEK 75,000
Note that you may also need to pay an application fee, or provide proof of exemption.
No tuition fees for citizens of the EU, EEA and Switzerland
There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.
Lund University Global Scholarship Programme
The Lund University Global Scholarship programme is a merit-based and selective scholarship targeted at top academic students from countries outside the EU/EEA.
Lund University Global Scholarship
African Research Universities Alliance (ARUA) Scholarship
Within the framework of the Lund University Global Scholarship programme, the University also offers the African Research Universities Alliance (ARUA) Scholarship targeted at top academic students from selected African research universities.
Swedish Institute Scholarship: Global professionals
The Swedish Institute offers scholarships to international students from certain countries who are applying for select Master's programmes in Sweden.
Scholarship information on the Swedish Institute website
Country-specific scholarships and funding options
Lund University has agreements with scholarship organisations and funding bodies in different countries, which may allow applicants to apply for funding or scholarships in their home countries for their studies at Lund University. Most agreements are intended for Master’s applicants, although certain opportunities may also be available to Bachelor’s students.
External scholarships
In addition to scholarships offered by Lund University or through its partner agreements, there are external opportunities. On the page below, you’ll find examples of organisations that may provide financial support for international students from specific countries.