Data Analytics and Business Economics - Master's Programme

Data Analytics and Business Economics - Master's Programme is a Masters program taught at LUND University, Lund, Sweden. Intake: Autumn. The program is offered in campus-based modes with full-time (1 year) options.

Lund University’s Data Analytics and Business Economics - Master's Programme is a multidisciplinary programme that integrates statistics, economics, business, informatics and law. You learn how to work with data, draw conclusions, and communicate results, while developing business and economics context alongside statistical and programming skills.

The programme is delivered over 1 year and totals 60 credits. Lund University describes a blend of lectures, seminars, case assignments, computer labs and self-studies. It also includes learning about data legislation and why regulatory compliance matters when working with sensitive data. Skills development includes computer coding, data management, and statistical machine learning tools.

Graduates are described as able to take on roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, and Data Engineer. The programme is positioned for organisations in both the private and public sector that seek experts who can use data to make informed decisions.

The minimum requirements for admission in Data Analytics and Business Economics - Master's Programme at LUND University for all applicants (Domestic or International) are:

• program specific academic requirment set by LUND University.
• English Language OR any other language requirments as set by LUND University as pre-requiste for admission in Data Analytics and Business Economics - Master's Programme.

Note: Please check the university website in the link below.

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.

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.

Please check detail of study units at https://www.lunduniversity.lu.se/study/data-analytics-and-business-economics-masters-programme-EAGDA

• Data Scientist
• Machine Learning Engineer
• Data Analyst
• Business Intelligence Analyst
• Data Engineer
• Potential employers include large companies from across sectors, tech companies, financial and governmental institutions, and consulting firms

18 fully funded scholarships are listed for Sweden. See Sweden scholarships.