MS Computer Science

MS Computer Science

Vision

To create computer scientists who can take on the complex technological problems of modern society by building robust software systems, develop efficient computing algorithms, and help machines think and see intelligently, fulfilling the demand for computer science researchers and software developers in Pakistan.

Mission

Provide a conducive learning environment to

  • Impart students with the knowledge and skills in both theoretical and applied foundations of computer science
  • Rigorously train students in understanding software systems, processes and state-of-the-art technologies.
  • Develop critical-thinkers and effective problem-solvers possessing the ability to program intelligent software using modern computing technologies.
  • Advance research by promoting innovative ideas in core computer science and multidisciplinary application areas.
  • Develop students’ interpersonal and team-work skills for continuing professional growth and instill a desire to pursue life-long learning.
  • Prepare students for productive careers in industry and academia to address a wide range of complex scientific, technological, and social problems through computing.

Overview

In the last three decades, computers have entered all spheres of our lives from business applications, office automation, science and engineering, expert systems, information and data processing, to shopping in grocery stores. Given the unprecedented pace at which developments are taking place there is a demand today for advanced training and education in Computer Science.

The two-year MS Computer Science program prepares students to understand the diverse and ever-evolving field of Computer Science. It enables students to conduct research, to develop their capacity for inquiry, abstract and logical thinking, and critical analysis. Students are exposed to quality work being done in areas including Machine Learning, Networks Information Security, Software Engineering, Natural Language Processing, Data Mining, Human Computer Interaction, and Artificial Intelligence.

Admission Requirement

  • 04 years BA/B.Sc. (Hons) with a minimum CGPA of 2.50 OR 60% marks in Masters after 02 years BA/ B.Sc. The applicants should have done their Graduation/Masters in Computer Science, Software Engineering, Information Technology or any engineering discipline.
  • All candidates must appear for KC Graduate Assessment Test.
  • Only short listed candidates will be called for the Interview.

Scheme of Studies

 

Year 1 – Semester I

Code

Course/Requirement

Credit Hours

XXX XXX

Core – I

3 (3-0)

XXX XXX

Core – II

3 (3-0)

XXX XXX

Elective – I

3 (3-0)

 

XXX XXX

Advanced Research Methodology

1 (1-0)

Year 1 – Semester II

Code

Course/Requirement

Credit Hours

XXX XXX

Core – III

3 (3-0)

XXX XXX

Core – IV

3 (3-0)

XXX XXX

Elective – II

3 (3-0)

XXX XXX

Elective – III

3 (3-0)

Year 2 – Semester III

Code

Course/Requirement

Credit Hours

XXX XXX

Elective –IV

3 (3-0)

XXX XXX

MS Thesis – I /Elective –V

3 (3-0)

Year 2 – Semester IV

Code

Course/Requirement

Credit Hours

XXX XXX

MS Thesis – II / MS Project

3 (3-0)

Total Credit Hour 31

 

 List of Core Courses

  

Course Code

Course Title

Credit Hours

MSCS 510

Introduction to Theory of Computation

3 (3-0)

MSCS 515

Advanced Analysis of Algorithms

3 (3-0)

MSCS 555

Advanced Computer Architecture

3 (3-0)

MSCS 560

Advanced Operating System

3 (3-0)

MSCS 545

Advanced Research Methodology

1 (1-0)

 

 List of Elective Courses

 

Course Code

Course Title

Credit Hours

MSCS 570

Advanced Software Engineering

3 (3-0)

MSCS 525

Advanced Computer Networks

3 (3-0)

 

MSCS 527

Advanced Self- Organization Networks

3 (3-0)

MSCS 565

Advanced Machine Learning

3 (3-0)

MSCS 575

Advanced Information Security

3 (3-0)

MSCS 577

Advanced Artificial Intelligence

3 (3-0)

MSCS 615

Advanced Computer Networks Security

3 (3-0)

MSCS 617

Advance Requirements Engineering

3 (3-0)

MSCS 619

Advanced Databases

3 (3-0)

MSCS 622

Software Design & Patterns

3 (3-0)

MSCS 625

Software Project Management

3 (3-0)

MSCS 627

Data Science and Analytics

3 (3-0)

MSCS 630

Data Mining and Information Retrieval

3 (3-0)

MSCS 635

Advanced Topics in Internet of Things

3 (3-0)

MSCS 640

Advanced Topics in Computer Vision

3 (3-0)

MSCS 645

Adaptive Control System

3 (3-0)

MSCS 647

Quantum Computing & Information Security

3 (3-0)

Research Thesis:

An M.Phil candidate who has completed her course work with a minimum CGPA of 3.00 must present and pass the oral proposal defense examination before she is allowed to carry out her Masters research. On passing the thesis proposal defense the student must carry out a research study which is described in a thesis. She must successfully defend the completed work in an oral examination involving a presentation and question answer session in the presence of an external examiner.

Kinnaird Contact Info

93 Jail Road, G.O.R. – I,

Lahore, Punjab

Postal Code: 54000

info@kinnaird.edu.pk

+92 42 9920 3781 – 84
+92 42 9920 3788

Mon – Fri 9:00A.M. – 5:00P.M.

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