Master’s programme in Data Analytics and Business Economics

Master of Science, major in data analytics and business economics | 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.

Next programme start

Late August 2021

Arrival day

Mid-August 2021

Application deadline

15 January 2021

Duration

1 year, full time

Tuition fee

SEK 120.000 per year EU/EAA citizens are not required to pay tuition fees.