MS (Electrical Engineering)


Program Info

This program prepares a graduate in Electrical Engineering to acquire expertise in a particular area. In the final year, the student normally undertakes a thesis. This may be undertaken in collaboration with the industry, under the guidance of industry experts and a faculty supervisor from the University.

A student has the option to pursue MS by undertaking either a 6 credit hour MS Thesis or MS Project, spread over two regular semesters.

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

Award of Degree

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

  • Passed courses totalling at least 31 credit hours, including THREE Core courses
  • Obtained a CGPA of at least 2.5

Offered Campuses

Chiniot-Faisalabad Islamabad Karachi Lahore Peshawar

Eligibility:

  • Bachelor Degree in a relevant engineering discipline (Electrical, Telecommunications, or Computer engineering, etc.), recognized by Pakistan Engineering Council (PEC).
  • Minimum CGPA of 2.0 (on a scale of 4.0) or at least 60% marks.

Selection Criteria:

  • Past Academic Record (Bachelor): 40%
  • Performance in NU MS Admission Test: 60%
Tentative Study Plan
Sr. No Course Name Crdt Hrs.
Semester 1
1 Core Course-I 3
2 Core Course-II 3
3 Core Course-III 3
Sr. No Course Name Crdt Hrs.
Semester 2
1 Elective-I 3
2 Elective-II 3
3 Elective-III 3
Sr. No Course Name Crdt Hrs.
Semester 3
1 MS Thesis - I 3
2 Elective-IV 3
Sr. No Course Name Crdt Hrs.
Semester 4
1 MS Thesis - II 3
2 Elective-V 3

Note : Registration in “Project – I” is allowed provided the student has:

  • Earned at least 19 credits
  • Passed the “Research Methodology” course;
  • CGPA is equal to or more than 2.5

Core Courses for MS (Electrical Engineering)

  • CS524  Adv. Computer Networks
  • EE506  Adv. Digital Signal Processing
  • EE522  Adv. Embedded Systems
  • EE528  Linear Systems
  • EE523  Analog & Discrete Electronics
  • EE545  Adv. Probability Theory
  • EE529  Adv. Power System Modelling & Analysis