This is an academic programme designed for students with a strong interest in mathematics, mathematical statistics and scientific computing. Flexibility and individual adaptation are keywords. The programme is structured in a highly flexible manner, especially designed to give students solid theoretical knowledge in mathematics at the same time as providing possibilities for each student to pursue his/her own educational profile according to interests and career aspirations.
A vast variety of courses in mathematics, statistics and numerical analysis are available within the programme together with courses from all other science areas, economy and finance, engineering as well as humanities and social sciences. For students with a strong interest in pure mathematics, the programme offers a path of courses at a higher theoretical level that can be continued at Master’s and even further at PhD level.
For those students interested in more applied areas there is a high degree of flexibility in choosing course combinations suitable for certain professions. For instance, courses in mathematical statistics and numerical analysis can be combined with courses in financial mathematics and economics.
Another usual path is combining studies in mathematics and physics. Each direction implies a different combination of courses. Predefined recommended course chains suitable for the different directions are available and study counseling is provided throughout the entire programme.
The programme consists of compulsory courses (75 credits), alternative-compulsory courses (30 credits), elective courses (60 credits) and ends with a Bachelor’s degree project (15 credits) on a topic of interest.
Compulsory courses: The first part of the programme covers analysis in one and several variables, foundations of algebra, linear algebra, mathematical statistics and probability theory. These courses constitute the theoretical core that is fundamental to applied mathematics, statistics, mathematical physics, economics and many other areas.
Alternative compulsory courses: After completing the compulsory course module, students are offered a wide range of courses in pure mathematics, mathematical statistics and numerical analysis. Discrete mathematics, number theory, abstract algebra, topology, ordinary differential equations, complex analysis, differential geometry are some of the main areas in pure mathematics that are available within this course module. Courses in mathematical statistics, probability theory and scientific computing provide the balance between mathematical theory and practical applications and provide training in collecting, analysing and modelling data.
Electives: The courses within this module can be chosen amongst more advanced courses within the mathematical sciences as well as other disciplines available across the University. At least 30 credits must be courses outside the range of mathematical sciences. Most students choose to combine their mathematical studies with physics, computer science or economics. The purpose of this module is to offer the students the possibility to both deepen and broaden their knowledge according to their own objects of interest.
Bachelor´s Degree Project: The project may be done in pure mathematics, mathematical statistics or numerical analysis on a subject of interest chosen in cooperation with a supervisor. The project may be of theoretical character but can also be done in an applied area in cooperation with an industrial partner.
The growth of the information society has led to an increased need for understanding and predicting the real world. There is an increasing demand for people who can structure and analyse the growing amount of produced and stored data. A thorough mathematical education provides the tools for such tasks.
Mathematics is inherent in a manifold of technical and scientific achievements. As an example we can mention the notion of a differential equation, which so far has been a most adequate tool for describing dynamical phenomena. The subject of mathematics plays a special role as an exact science with emphasis on quantitative aspects.
Today’s advancements in science and technology, medicine and pharmaco-logy, economics and finance would not have been possible without mathematics.
More information can be found at https://www.lunduniversity.lu.se/lubas/i-uoh-lu-NGNAT-ENMA
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 2020 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
About the School
Lund is Sweden’s most attractive study destination. The University offers one of the broadest ranges of programmes and courses in Scandinavia, based on cross-disciplinary and cutting-edge research. A ... Read More