Program Overview

Mathematics is one of the oldest academic subjects and is still very much alive and is growing very fast. It is considered to be very important in the learning and understanding of science subjects in particular and other subjects in general. The advent of computers and data acquisition facilities has stretched the limits of what is possible in Mathematics to all branches of human endeavour. New developments are taking place all the time; some as result of fresh ideas or review of old techniques and problems from a fresh standpoint and others prompted by the applications to new and emerging physical, biological and social sciences, economics, computing and so on. This has given rise to new IT based techniques of mathematical study and has created new computational methodologies. Mathematics is one of the most mature and well-developed disciplines of the basic sciences. The study of Mathematics is not only exciting but important Mathematicians have an opportunity to make a lasting contribution to the society by helping to solve problems in such diverse fields as medicine, biology, management, economics, computer sciences, physics, psychology, engineering, and social sciences.

Program Objectives

The MS in Mathematics degree provides the thorough training related to core mathematical skills required to go aboard for a PhD degree programme in Mathematics or for employment in areas that strongly demand vital mathematical background, such as research needed by industry and development sector.

Entry Requirements

• A I6-year degree, in the relevant field, from an accredited educational institution.
• Minimum CGPA of 2.5/4.0 (semester system) or First Division (annual system) with no third division (annual system) or 'D' grade (semester system) throughout the academic career.
• NTS GAT(General)with a minimum of 50%marks (must be valid on the date of admission) or 60% score in any other entry test adopted by the university.

Career Prospects

752 graduates have successfully completed their MS degree from our department and engaged in teaching, serving and leading in various institutes across the nation. Moreover, we also provide jobs to our MS and PhD students by hiring them as research associates from funding agencies like HEC, PSF, etc. Furthermore, by studying new courses related to mathematics of machine learning methods, our students may work in multi-nationals as data analysts, data scientist, business analyst, database administrators, and analytics managers along with many other available opportunities.

Scholarships available:

Few scholarships are available from different research projects such as, HEC, PSF and TWAS etc.