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 M.Phil Computer Science program at Kinnaird provides students with an in-depth knowledge of computer science fundamentals and provides them with an advanced understanding of Databases, Process Mining, Software Engineering and Artificial Intelligence. It develops student’s capacity for inquiry, abstract and logical thinking, and critical analysis.
Experts in the field bring personal computing experiences to the classroom. Students are assigned projects, research work and make presentations aimed at helping them combine theoretical perspectives with professional practice. Students are trained to pursue careers as Computer Science Faculty Member, Software Development Managers and take various other roles in the industry.
Road Map
| Sr. No. | Course Type | Course Title | Cr. Hrs. |
| Semester I | |||
| 1 | Major | Advanced Analysis of Algorithms | 3 |
| 2 | Major | Advanced Operating Systems | 3 |
| 3 | Major | Elective – I | 3 |
| 4 | Major | Elective – II | 3 |
| Total | 12 | ||
| Semester II | |||
| 1 | Major | Introduction to Theory of Computation | 3 |
| 2 | Major | Advanced Computer Architecture | 3 |
| 3 | Major | Elective – III | 3 |
| 4 | Major | Research Methodology | 1 |
| Total | 10 | ||
| Semester III | |||
| 1 | Major | Elective – IV | 3 |
| Total | 3 | ||
| Semester IV | |||
| 1 | Major | Thesis | 6 |
| Total | 6 | ||
| Total Degree Credit Hours | 31 | ||
| Sr. No. | Course Type | Course Title | Cr. Hrs. |
| Semester I | |||
| 1 | Major | Advanced Analysis of Algorithms | 3 |
| 2 | Major | Advanced Operating Systems | 3 |
| 3 | Major | Elective – I | 3 |
| 4 | Major | Elective – II | 3 |
| Total | 12 | ||
| Semester II | |||
| 1 | Major | Introduction to Theory of Computation | 3 |
| 2 | Major | Advanced Computer Architecture | 3 |
| 3 | Major | Elective – III | 3 |
| 4 | Major | Research Methodology | 1 |
| Total | 10 | ||
| Semester III | |||
| 1 | Major | Elective – IV | 3 |
| 1 | Major | Elective – V | 3 |
| Total | 6 | ||
| Semester IV | |||
| 1 | Major | Thesis | 3 |
| Total | 3 | ||
| Total Degree Credit Hours | 31 | ||
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.
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