Statistics - Statistical Modelling and Data Science Örebro University

Overview

Örebro University is recognised for its excellence in education, having been awarded the prestigious European Master in Official Statistics (EMOS) label by Eurostat. This accolade positions the university as a leader in the Nordic region, providing students with unique opportunities to engage in official statistics. The programme benefits from a strong international network of professionals and extensive academic resources, ensuring students receive a comprehensive education that is both relevant and applicable in today’s data-driven world.

For international students, the tuition fee for the Master's programme is SEK 269,560 for the entire course duration. Domestic students from Sweden and EU citizens are exempt from tuition fees. Visit the Fees and Funding section for a breakdown in your local currency.

The Master's programme spans four semesters, each comprising 30 ECTS credits. The curriculum is structured as follows:

• Semester 1: Courses in Statistics, Mathematics, Data Visualisation, Programming for Statisticians, Inference Theory, and Databases.
• Semester 2: Courses in Econometrics, Computational Statistics, and an Independent Project.
• Semester 3: Courses in Bayesian Statistics, Survey Sampling, Machine Learning for Data Science, and optional courses.
• Semester 4: Work Placement for Statisticians or optional courses, followed by a second Independent Project.

The programme culminates in a thesis project, allowing students to apply their knowledge in a practical setting, enhancing their readiness for the job market.

The demand for statisticians is steadily increasing due to the growing availability of data across various sectors. Graduates find themselves in high demand within industries such as finance, healthcare, marketing, and government agencies. The profession consistently ranks highly in job market analyses, reflecting the essential role that statisticians play in interpreting data and informing decision-making processes.

Graduates of the programme can pursue diverse career paths, often finding positions in banks, insurance firms, pharmaceutical companies, and governmental statistical agencies. Alumni have successfully secured roles as statisticians, data analysts, and consultants, leveraging their skills in statistical modelling and data science. The programme's strong emphasis on practical experience, including opportunities for internships, further enhances employability, equipping graduates with the necessary tools to thrive in a competitive job market.