Master's Programme in Business Analytics, business administration
Organisations today are using business analytics for their decision-making purposes.
The need for this is growing due to the abundance of data available. Business analytics includes quantitative and statistical analysis, data mining, multivariate testing and predictive modelling. It uses data to evaluate past performances and to draw up plans for the future.
In business analytics, we examine data through operational and statistical analysis, optimisation techniques, and the formation of predictive models, and we communicate the results to business partners, customers, etc. Business analytics leverages evidence-based data and quantitative methods for decision making and business modelling.
As a graduate from this programme, you will be in high demand and have access to interesting positions in business and industry.
Your studies in this programme will focus on theoretical knowledge and technical skills in relevant business analytics methods, including data analytics, modelling, simulation, and multiple-criteria decision-making methods, and the practical use of the methods on real-world data in a real-world business or industry context. The software and tools applied during the course are standard in the industry.
▶️ VIDEO: A professor and a student tell why to choose this Master's programme (the text continues below the video).
The programme merges studies in industrial management, corporate finance, computer science and applied mathematics in a unique way, providing a very powerful combination of knowledge.
We welcome ambitious students who are ready to work hard – in return, we offer the tools and know-how to become a leading future maker in business and industry.
Business Analytics, business administration
Master of Science in Economics and Business Administration
120 ECTS credits
Tuition fees and scholarships
EUR 10 000 Non-EU/EEA students
LUT School of Business and Management
1 December 2020 − 20 January 2021 at 15:00 (UTC+2)
1 November 2020 − 31 May 2021 at 15:00 (UTC+2)