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
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.
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.
93 Jail Road, G.O.R. – I,
Lahore, Punjab
Postal Code: 54000
info@kinnaird.edu.pk
Mon – Fri 9:00A.M. – 5:00P.M.