New study programme in Machine Learning and Data Science
The Department of Mathematical Sciences and the Department of Computer Science are behind new bachelor's programme, which has just been approved by Tommy Ahlers, Minister of Education and Research.
The Minister has approved eight new higher education programmes, four of which are from the University of Copenhagen. Two out of the four have a high content of math and computer science and is intended to meet the business needs of more IT experts. The programs can be applied from 2019.
Artificial intelligence (AI) is on everyone's lips and is gaining weight in almost all public and private organizations. All new systems and processes are based on knowledge and understanding that can be derived from data collected in companies or in public.
Therefore, the professional ballast from a secondary education from a university will soon be insufficient if not supplemented with an in-depth knowledge of opportunities and tools in the field of digitization, automation and data analysis.
The new programme focuses on machine learning and data analysis in the interdisciplinary field that exists between the classical bachelor programmes in computer science, mathematics, and statistics. In addition, the programme can provide access to the master's programmes in both computer science and statistics.
The students will be educated to
- develop future tools for analyzing and managing large amounts of data;
- derive structured information from data with statistical and data logical tools;
- and to use this knowledge for example by making realistic forecasts, translate languages, add artificial intelligence to classic manual functions, or understand causal relationships.
The Department of Mathematical Sciences will also be teaching at the new programme 'Computer Science - Economics', which will combine programming skills and computer knowledge with the more classical university program in economics. This programme is offered in close cooperation with the Department of Economics, as well as the Department of Food and Resources Economics.