To be admitted to the programme, knowledge equivalent to a Bachelor's degree is required, including at least 60 higher education credits in the area of mathematics, mathematical statistics and computer science, including courses equivalent to Mathematics II - Analysis, part A, 7.5 credits, Mathematics II - Linear Algebra, 7.5 credits, Probability Theory I, 7.5 credits, Numerical Analysis I, 7.5 credits, Programming Techniques, 7.5 credits, and Datastructures and algorithms, 7.5 credits. English 6 or English level 2.
In the Master's Programme in Computational Mathematics you will expand and deepen your skills in mathematical modelling, algorithms, numerical methods, and machine learning. This two-year programme emphasizes practical applications across a range of domains. You will gain hands-on experience with advanced algorithms, modern computational techniques, and innovative mathematical methods. The two-year program is designed for students with an interest in applied mathematics and computer science who wish to advance their theoretical knowledge while developing expertise in application-oriented areas. The programme offers opportunities to specialise in domains such as computational biology and climate modelling, or in methodological areas including machine learning, numerical methods, and proof assistants. The curriculum is research-based and provides close contact with current developments in the field. Students may undertake one or two research-group internships before completing a master’s thesis. The programme prepares for careers in data science as well as for doctoral studies in applied mathematics and related scientific disciplines.