Data Analytics and Business Economics - Master's Programme
Master's programme · 1 year · 60 credits
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.
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.
The training is carried out under the supervision of a number of carefully selected researchers from across the departments of the School, which are working closely together with partner companies and institutions within data analytics in order to maximize the programme’s relevance for employers.
Transforming data into insights that can enhance decision-making is a key challenge for companies of every size, across all industries.
Be it the travel industry, technology, retail, healthcare, manufacturing, consulting, banking, finance, or insurance, data generated from market interaction is being used to determine and influence trends and gain a competitive edge over other players in the field. Companies are therefore looking for experts who have the capacity to use data to make informed strategic decisions. The same is true in government. Being able to minimize costs while at the same time deliver better services to citizens requires making the most of the information available.
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.
Closed for applicationsApplication opportunities
Closed for applications
Learn more about our application periods and when to apply for studies at Lund University.
Chat with our student ambassador about this programme and student life at Lund University
Department of Economics
Tycho Brahes väg 1, 223 63 Lund
Box 7080, 220 07 Lund
+46 46 222 86 57
+46 46 222 86 75
marten [dot] wallette [at] nek [dot] lu [dot] se
Requirements and selection
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).
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,
- documented language proficiency knowledge equivalent to English B/English 6 at Swedish upper secondary school.
It is recommended that students have at least 10 credits in economics and 10 credits in business administration.
English language requirements
Most of Lund University’s programmes require English Level 6 (unless otherwise stated under 'Entry requirements'). This is the equivalent of an overall IELTS score of 6.5 or a TOEFL score of 90. There are several ways to prove your English language proficiency – check which proof is accepted at the University Admissions in Sweden website. All students must prove they meet English language requirements by the deadline, in order to be considered for admission.
Check if there are any country-specific eligibility rules for you to study Master's studies or Bachelor's studies in Sweden.
Start Autumn Semester 2022
Day-time Lund, full time 100%
29 August 2022 - 4 June 2023
Closed for applications
How to apply
Lund University uses a national application system run by University Admissions in Sweden. It is only possible to apply during the application periods.
Step 1: Apply online
- Check that you meet the entry requirements of the programme or course you are interested in (refer to the section above on this webpage).
- Start your application – go to the University Admissions in Sweden website where you create an account and select programmes/courses during the application period.
Visit the University Admissions in Sweden website
- Rank your programme/course choices in order of preference and submit them before the application deadline.
Step 2: Submit documents
- Read about how to document your eligibility and how to submit your documents at the University Admissions in Sweden website. Follow any country-specific document rules for Master's studies or Bachelor's studies
Country-specific requirements for Bachelor's studies – universityadmissions.se
Country-specific requirements for Master's studies – universityadmissions.se
- Get all your documents ready:
- official transcripts and high school diploma (Bachelor's applicants)
- official transcripts and degree certificate or proof of expected graduation (Master's applicants)
- passport/ID (all applicants) and
- proof of English proficiency (all applicants).
- Prepare programme-specific documents if stated in the next paragraph on this webpage.
- Upload or send all required documents to University Admissions before the document deadline.
- Pay the application fee (if applicable – refer to the section below on this webpage) before the document deadline.
* Note that the process is different if you are applying as an exchange student or as a part of a cooperation programme (such as Erasmus+).
* If you have studied your entire Bachelor's programme in Sweden and all of your academic credits are in Ladok, you do not have to submit transcripts or your diploma when applying for a Master's programme. However, there may still be other documents you need to submit! See the link below.
* Svensk student?
Läs instruktionerna om att söka till ett internationellt masterprogram på lu.se
No programme-specific documents (such as a CV or letters of recommendation) are required when you apply for this programme.
Full programme/course tuition fee: SEK 120 000
First payment: SEK 60 000
Citizens of a country outside of the European Union (EU), the European Economic Area (EEA) and Switzerland are required to pay tuition fees. You pay one instalment of the tuition fee in advance of each semester.
EU/EEA citizens and Switzerland
There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.
If you are required to pay tuition fees, you are generally also required to pay an application fee of SEK 900 (approximately EUR 100) when you apply at the University Admissions in Sweden website. You pay one application fee regardless of how many programmes or courses you apply to.
*Note that there are no tuition or application fees for exchange students or PhD students, regardless of their nationality.
Scholarships & funding
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.
Swedish Institute Scholarships
The Swedish Institute offers scholarships to international students applying for studies in Sweden at Bachelor's, Master's, PhD and post-doctoral levels.
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.
- Scholarships/funding for students from Indonesia, Mexico, Colombia, Russia and Chile, among other countries
- US student finance
- Canada student finance