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The programme focuses on how to draw smart conclusions from large amounts of data with the purpose of making well-informed decisions.

In today's society, massive amounts of data are generated at high speed. The data is also characterised by high variety and is becoming increasingly complex. We are constantly connected with computers and smart phones, while being surrounded by cameras and sensors that monitor and measure our lives constantly.

Programme overview:

Automation and digitisation are becoming increasingly important in a large number of areas and industries, and most companies and authorities store large amounts of data about their customers, users and processes. For example, the analysis of large amounts of medical data is becoming increasingly important in healthcare.

The programme consists of courses in the following three subfields: data science, statistics and decision analysis. The program is a collaboration with the Department of Statistics.

Important about selection:

The selection is made from the following three criteria:

• Grades of academic courses,
• mandatory motivation letter and
• the relevance of previous studies in relation to the programme.

Career opportunities

This program will provide opportunities in a variety of fields. For example, your future career could be as a:

• Data Scientist: Apply your analytical skills to extract valuable insights from large datasets and develop machine learning models to solve complex problems.
• Data Analyst: Use statistical techniques to interpret data, generate reports on your results and findings, and provide actionable recommendations to support business decisions.
• Machine Learning Engineer: Design, implement, and optimize machine learning algorithms and models to enable automated decision-making and business analytics.
• Research Scientist: Conduct advanced research in data science, statistics, and decision analysis, contributing to academic studies or pushing the boundaries of industry knowledge.
• Data Consultant: Provide expert guidance to clients on data-driven strategies, assist in implementing data-driven solutions, and drive business growth through analytics.