The purpose of the Master’s programme in Mathematics is to give students advanced theoretical knowledge of mathematics together with practical skills to apply this knowledge both to mathematical problems and in applications of mathematics. A highly flexible structure that allows for individual adaptation, a diversified curriculum, a high theoretical level and an active research-oriented environment are some of the strongest features of the programme.
The Master’s Programme in Mathematics has two specialisations: Mathematics and Numerical Analysis.
A separate Master’s Programme in Mathematical Statistics is available at the Centre of MathematicalSciences. A vast variety of courses in all mathematical disciplines –pure and applied mathematics, numerical analysis and mathematical statistics –are available within the programme.
The programme was recently evaluated by a panel of mathematicians appointed by The Swedish Higher Education Authority and was ranked ‘Of highest quality’(http://english.uk-ambetet.se/).
The programme consists of two course modules – alternative compulsory courses and elective courses – comprising 90 credits and a thesis comprising 30 credits. The thesis can be done in mathematics or numerical analysis. The alternative compulsory courses (45 credits) must be chosen amongst courses at advanced level in mathematics or in numerical analysis according to the chosen specialisation, while the elective courses (45 credits) can be chosen freely.
The choice of courses within the programme is highly dependent on the prior knowledge, subject of interest and career aspirations of each student. A student already determined to take a PhD degree might choose 90 credits of advanced courses in mathematics or numerical analysis in order to obtain a deep knowledge of the subject as a basis for the PhD. A student planning to work with applied mathematics directly after graduation can choose up to 45 credits, including some at basic level, in a different subject relevant for the applications of mathematics, for example in physics or economics.
Individual student counselling is available throughout the entire programme.
Master’s degree thesis:
As mentioned above, the thesis comprises 30 credits and can be done on a topic of interest in pure or applied mathematics (code MATM01) or in numerical analysis and scientific computing (code NUMM11). The thesis can be done during the last semester of the programme or during the entire second year in parallel to other relevant courses within the programme.
The topic is chosen in cooperation with an advisor at the department and may be either of theoretical character or within an applied area together with an industrial partner.
After graduating from this programme, you are qualified to enter a PhD programme in mathematics. You will also have sufficient skills in applying mathematics to seek employment in industry, with government agencies and in other organisations working with mathematical problems.
Read more about this programme on www.lunduniversity.lu.se/mathematics
Why Lund University?
Lund University was founded in 1666 and is one of northern Europe’s oldest, broadest and finest universities. The University ranks among the world's top 100 universities in the QS World University Rankings 2019 and is the #1 choice for international students coming to Sweden – one of the world's most innovative, sustainable and democratic countries.
If you would like to start building your international network in a global classroom setting, Lund University is a great option. Experience a different way of learning in a country ranked as one of the best in the world at providing higher education. Group work and informal teacher-student relationships facilitate in-depth learning.
The University is located in Lund, a charming and compact university city in southern Sweden, only 35 minutes away from Copenhagen Airport in Denmark. The city is famous for its vibrant student life and is also home to many world-leading research facilities and international companies.
Learn more about Lund University at www.lunduniversity.lu.se
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Last updated October 8, 2018