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Lund University
Master's Programme in Data Analytics and Business Economics
<p>Transforming data into insights that can enhance decision-making is a key challenge for companies of every size, across all industries. In this programme, you will learn how to work the numbers, draw conclusions, and communicate your results. </p><p>Have you noticed how Netflix and YouTube send you suggestions ba…
- Högskoleutbildning
- Uppgift saknas
- 31 augusti 2026
- Lund
- Uppgift saknas
- 100 %
Översikt
<p>Transforming data into insights that can enhance decision-making is a key challenge for companies of every size, across all industries. In this programme, you will learn how to work the numbers, draw conclusions, and communicate your results. </p><p>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? </p><p>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. </p><p><br/></p><p> </p>
Antagningspoäng
Behörighet
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.
Texten återges från Susa-underlaget. Antagningsdata gör ingen egen mappning mellan GY11 och GY25 och bedömer inte personlig behörighet.
Källa, mått och datakvalitet
- Källa
- Skolverket Susa-navet
- Period
- 2026-08-31
- Mått
- Behörighetstext återgiven från publicerat Susa-underlag; ingen personlig behörighetsbedömning.
- Population
- Utbildningstillfälle e.uoh.lu.eagda.18270.20262
- Senaste kontroll
- 2026-09-23T10:38:26.989764+00:00
- Begränsning
- GY11 och GY25 mappas inte av Antagningsdata. Grundläggande och särskilda villkor separeras inte utan strukturerat underlag.
Utbildningens innehåll
Studiernas upplägg
Ansökan och viktiga datum
- Utbildningen startar
- Utbildningen slutar
Lön och lönefördelning
Vanliga yrken efter utbildningen
Studenterna
Geografisk bakgrund
Tidigare gymnasieskolor och program
Genomströmning och utfall
Om anordnaren
Källor och datakvalitet
Utbildningsfakta för valt tillfälle kommer från Skolverket Susa-navet.
Hämtad . Publicerad . Tider visas i svensk tid.
Källidentitet och publiceringsversion
- Publiceringsversion
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Utbildningsidentitet hos källan
- i.uoh.lu.eagda.18270.20262
- Tillfällesidentitet hos källan
- e.uoh.lu.eagda.18270.20262
- Utbildningsformens källkod
- HS
- Utbildningskod hos källan
- EAGDA
- Ändringstid enligt källan
- 2026-03-25T09:16:09
Anordnare, utbildning och utbildningstillfälle är separata identiteter. Uppgifter om ansökan bör kontrolleras på den officiella webbplatsen. Kompletterande statistik har inte hämtats från denna källa.