MS (Mathematics)


Program Info

This program aims at training the candidates in a number of advance mathematical courses. Having done this they are motivated to undertake research in some area of pure and applied mathematics. The successful candidates are expected to serve the nation as academicians as well as researchers.

Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester.

A student has the option to persue MS either by undertaking a 6 credit hour MS thesis, or by taking a 3 credit hour Research Survey plus one taught course

Award of Degree

For the award of MS degree, a student must have:

  • Passed courses totalling at least 31 credit hours, including the four major courses
  • Obtained a CGPA of at least 2.5

Offered Campuses

Chiniot-Faisalabad Islamabad Karachi Lahore Peshawar

Eligibility:

  • Degree in relevant subject, earned from a recognized university after 16 years of education AND
  • At least 55% marks (under annual system or CGPA of at least 2.0(on a scale of 4.0) in the most recent degree program.

Selection Criteria:

  • Past Academic Record (Bachelor) (4 year Bachelor OR 2 year masters): 50%
  • Performance in NU MS Subject Admission Test: 50%
Tentative Study Plan
Sr. No Course Name Crdt Hrs.
Semester 1
1 Core Course-I 3+0
2 Core Course-II 3+0
3 Elective-I 3+0
4 Elective-II 3+0
Sr. No Course Name Crdt Hrs.
Semester 2
1 Core Course-III 3+0
2 Elective-III 3+0
3 Elective-IV 3+0
4 Research Methodology 1 3+0
Sr. No Course Name Crdt Hrs.
Semester 3
1 MS Thesis-I 0+3
Sr. No Course Name Crdt Hrs.
Semester 4
1 MS Thesis-II 0+3

Note: A student has the option to pursue MS by undertaking a 6-credit hour MS Thesis or two taught MS courses. Research Methodology course of 3 credit hours is compulsory.
Registration in “MS Thesis - I” is allowed provided the student has:

  • Earned at least 15 credits
  • CGPA is equal to or more than 2.5
Core Courses
  • MT 5001  Research Methodology
  • MT 5002  Advance Algebra
  • MT 5003  Advance Functional Analysis
  • MT 5004  Adv. Num. Solutions of ODEs
  • MT 5005  Numerical Solutions of PDEs
  • MT 5006  Advanced Riemannian Geometry
  • MT 5007  Advance Number Theory
  • MT 5008  Advance Mathematical Statistics
  • MT 5009  Advance Topics in Real & Complex Analysis
  • MT 5010  Advance Integral equations