Faculty Profile

Dr. Muhammad Usman
Head of Department (Computer Science)
Program Manager PhD (Computing)

PhD-Computer & Information Sciences (Auckland University of Technology, New Zealand)
Dr. Azhar Mahmood
Program Manager MS - Data Science

PhD - Computer Applied Technology (Huazhong University of Science and Technology, Wuhan P.R China)
Dr. Muhammad Imran

Program Manager MS - CS

PhD - Information Technology (UTHM, Johor Malaysia)
Dr. Tazeen Athar

Program Manager BS - CS

PhD - Mathematics (University of Saarland, Saarbruecken, Germany)
Syed Muhammad Usman

Program Manager BS - SE

MS - Computer Engineering (College of Electrical & Mechanical Engineering NUST, Islamabad)

MS (Data Science)

MS Data Science Program

The MS (Data Science) program is of 2-years duration offered in the evening. It requires 30 credit hours including 3 core courses (3x3=9) and 2 specialized data science courses (2x3=6). Thesis of 6 credit hours is mandatory.
The maximum time limit to complete the MS (Data Science) degree is 4 years.

Why Study Data Science?

The amount of data is growing so rapidly as well as it's significance in the emerging societal setups such as the pervasive Internet of Things. The way one imagines data is going to change in the coming years. Both Big Data Analytics and pervasive computing hinge on the principle axis of data analytics. MS (Data Science) program is going to be relevant in terms of job creation and artisanal smart business generation. Graduates from this program would definitely avail the early-bird advantage.

Program Objectives

The MS (Data Science) program has been designed to give students the option to be part of a data science endeavor that begins with the identification of business processes, determination of data provenance and ownership, understanding the ecosystem of the business decisions, skill sets and tools that shape the data, making data amenable to analytics, identifying sub-problems, recognizing the technology matrix required for problem resolution, creating incrementally-complex data-driven models and then maintaining them to ultimately leverage them for business growth.

Individual objectives include:

  • To equip students to transform data into actionable insights to make complex decisions.
  • To enable students to understand and analyze problems and arrive at computable solutions.
  • To expose students to the set of technologies that match those solutions.
  • To gain hands-on experience on data-centric tools for statistical analysis, visualization and big data applications at the same rigorous scale as in a practical data science project.
  • To understand the implications of handling data in terms of data security and business ethics.


A degree of BS(CS) as per HEC curriculum.

  • 16 years of education in a related field with minimum 60%/ marks or CGPA 2.00.
  • GAT General/ HAT relevant with min. 50% score

Deficiency Courses

  • Programming Fundamentals
  • Database Systems
  • Data Structures & Algorithms OR Design & Analysis of Algorithms

  • The candidates shall have to submit GRE (General)/GAT (General)/HAT relevant score of minimum 50%. The maximum time limit to complete the MS degree is four years.

    For Courses Details Click here