MS Mathematics

MS Mathematics is a Masters program taught at Lahore University of Management Sciences LUMS, . The program is offered in campus-based modes with full Time options. To successfully obtain MS Mathematics from Lahore University of Management Sciences LUMS you are required to complete 15 credit hours. After completion of MS Mathematics you will be able to further continue for advance studies or start career as Statistician, Actuary.

The Department of Mathematics at the Syed Babar Ali School of Science and Engineering (SBASSE) offers MS degrees in the areas of Pure Mathematics and Applied Mathematics. In both areas, students are required to do thesis research. The MS Mathematics programme deals with the most fundamental of all sciences and also the most applicable, as it is the rigorous study of structure, relationships and patterns.

The faculty at the Department of Mathematics works across a wide spectrum of Mathematical fields with research in Pure, as well as Applied Mathematics. Some examples of interests within Pure Mathematics are Algebraic Geometry, Algebraic Topology, Combinatorial Commutative Algebra, Functional Analysis, Fixed Point Theory, Operator Theory, Spectral Theory and Symmetries of Differential Equations, while those in Applied Mathematics include Numerical Methods, Mathematical and Computational Biology, Stochastic Processes, Epidemiology and Cancer Kinetics.

The minimum requirements for admission in MS Mathematics at Lahore University of Management Sciences LUMS for all applicants (Domestic or International) are:

• program specific academic requirment set by Lahore University of Management Sciences LUMS.
• English Language OR any other language requirments as set by Lahore University of Management Sciences LUMS as pre-requiste for admission in MS Mathematics.

Note: Please check the university website in the link below.

Applicants must meet the minimum eligibility criteria in order to be considered for admission to the Programme. The MS Mathematics Programme at the Syed Babar Ali School of Science and Engineering (SBASSE) is a two-year Programme.

Admission is purely merit-based and rests solely on the following criteria:

• Academic Record;
• Performance in Admission Tests *;
• Application Review;
• Interview Performance (If shortlisted); 
• Letters of Recommendation; and
• Submission of complete Online Application, Application Processing Fee and supporting documents by the stipulated deadline

You need to complete 15 credit hours to successfully obtain this degree. Please check detail of study units at https://lums.edu.pk/programmes/ms-mathematics

Core Courses

Students must complete 15 credit hours of core courses.

Pure Mathematics:

• Real Analysis/Mathematical Analysis
• Advanced Algebra
• General Topology and Advanced General Topology
  or
  Elements Algebraic Geometry
• MS Thesis I
• MS Thesis II

Applied Mathematics:

• Real Analysis/ Mathematical Analysis
• Advanced Numerical Analysis
• Partial Differential Equations/ Advanced Partial Differential Equations
• MS Thesis I
• MS Thesis II

Elective Courses

Students must complete 15 credit hours from the below elective courses.

• Applied Stochastic Processes/Advanced Applied Stochastic Processes
• Quantitative Finance
• Mathematical Models in Biology
• Theoretical Statistics
• Dynamical Systems
• Advanced Partial Differential Equations
• Symmetry Methods for Differential Equations / Symmetry Methods
• Optimisation Techniques
• Scientific Computing
• Advanced Statistical Analysis
• Computational Algebra and Algebraic Geometry
• Advanced General Topology
• Graph Theory/Advanced Graph Theory
• Advanced Functional Analysis
• Spectra of Differential Operators
• Quantum Graphs
• Approximation Theory
• Calculus of Manifold/Manifold and Differential Forms

Students are trained to acquire a sound foundation in mathematical sciences to continue to a doctorate in Mathematics. This programme is also of interest to graduate students across many disciplines such as engineering, computer science, physics, economics, and others who have a need for advanced training in the field.

You can join one of the following careers:

• Statistician
• Actuary