PhD Computer
Science
Department
Computer Science
Level
Postgraduate
College
College of Computer Sciences & Information Systems
Program Detail:
PhD programs will connect knowledge of three disciplines mathematics, statistics, and computer science to policy-relevant decision-making in business and government. The program aims to train researchers to contribute to theory, develop inventive and useful models and methods, and conduct applied scientific investigations. Although individual researchers will vary in their emphases, the field includes all these aspects. This program emphasizes rigorous course work and high quality research that should be published in international conferences and HEC recognized journals. Course and research work are arranged as per HEC criteria.
Eligibility
M.Phil. /M.S. / in Computer Science related field or equivalent graduates from HEC recognized institutions meeting the following criteria:
- A minimum CGPA of 3.00 on a scale of 4.00 (or overall 60% marks) or equivalent
- A minimum of 18 years of schooling that corresponds to MS / M.Phil or equivalent degree from HEC recognized institutions in a relevant discipline.
- GRE subject specific or GAT subject test conducted by the NTS, or equivalent in the relevant discipline. A minimum of 60% (percentage) marks is required
- An interview conducted by the Institute
- All other HEC stipulated requirements
Program Requirements
Program Requirements
PhD requires completion of coursework and dissertation/thesis. In addition, each PhD scholar shall be required to publish at least one research paper based on the dissertation as a first author along with his/her supervisor/co-supervisor in a Clarivate Analytics Impact Factor Journal listed in Journal Citation Reports (Web of Science Group). The minimum duration is three years and the maximum are eight years. For further requirements, refer to PhD Policy Manual available at https://basr.iobm.edu.pk/ms-mphil-and-phd-policy-and-thesis/
A PhD student must additionally complete the following requirements:
- Comprehensive examination.
- PhD proposal/synopsis development.
- PhD proposal/synopsis defense.
- BASR approval of the PhD proposal/synopsis.
- Continuous enrollment in supervised research courses to meet full-time residency requirements.
- Completion of the PhD dissertation/thesis.
- Selection of external evaluators by BASR.
- Publication or official acceptance of at least one paper in an ISI impact factor journal as a first author.
- Evaluation of the PhD dissertation by two foreign faculty members from developed countries, as per HEC criteria.
- Dissertation/thesis finalization.
- Open defense of the PhD dissertation.
- Fulfillment of any other HEC requirement.
- Final dissertation/thesis submission to BASR.
Program Outcomes
- Analyze and synthesize advanced and specialized computing knowledge to address complex, dynamic and real-world problems.
- Formulate research questions and design, justify and apply rigorous and appropriate research methodologies using advanced technical and analytical tools.
- Conduct and supervise independent, original and innovative research through interdisciplinary collaboration to create significant and high-quality knowledge.
- Critically evaluate and apply emerging computing technologies with creativity and adaptability to develop innovative solutions in local and global contexts.
- Document, publish, present and disseminate research findings effectively at national and international academic and professional forums.
- Demonstrate self-directed learning and postgraduate professional development together with lifelong learning to remain adaptable and responsive to evolving technological and societal needs.
- Apply ethical judgment, leadership and entrepreneurial thinking and effective collaborative practices in research, supervision and professional decision-making.
- Develop sustainable and inclusive computing solutions that address real-world challenges and advance economic well-being and positive societal impact
Courses in PhD Computer Science
Core Course for PhD Computer Science
CSP711 | Formal Research Methods | 3 + 0 |
Elective Course for PhD Computer Science
Course Code | Course Title | Credit Hours |
CSP761 | Big Data Analytics and Knowledge Discovery | 3 + 0 |
CSP781 | Natural Language Processing Information Retrieval | 3 + 0 |
CSP731 | Advance Theory of Computation | 3 + 0 |
CSP782 | Advances in Machine Learning | 3 + 0 |
CSP783 | Computational Intelligence | 3 + 0 |
CSP784 | Heuristic Search Theory & Methods | 3 + 0 |
CSP785 | Advanced Neural Network | 3 + 0 |
CSP786 | Intelligent Web Technologies | 3 + 0 |
CSP741 | Parallel and Distributed Systems | 3 + 0 |
CSP787 | Computer Vision and Robotics | 3 + 0 |
CSP762 | Temporal and Spatial Database Management System | 3 + 0 |
CSP742 | Advanced Digital Signal Processing | 3 + 0 |
CSP763 | Advanced Decision Support System | 3 + 0 |
CSP732 | Advances in Simulation and Modeling | 3 + 0 |
CSP733 | Fuzzy Topologies with Human Centric Computing | 3 + 0 |
CSP734 | Advanced Algorithm Analysis | 3 + 0 |
CSP735 | Seminar on Logic and Scientific Computing | 3 + 0 |
CSP712 | Seminar on Emerging Computing Technologies | 3 + 0 |
CSP788 | Advances in Artificial Intelligence | 3 + 0 |
CSP789 | Advances in Deep Learning | 3 + 0 |
CSP764 | Distributed Systems | 3 + 0 |
CSP881 | Deep Learning Methods for NLP | 3 + 0 |
CSP882 | Generative AI with LLM | 3 + 0 |
CSP736 | Advanced Cloud Computing | 3 + 0 |
CSP791 | Research Thesis (3 Units) | 30 |
CSP792 | Research Thesis (6 Units) | |
CSP793 | Research Thesis (9 Units) |
Course Structure of PhD Computer Science
Semester 1 | |
Research Methodology | 3+0 |
Elective I | 3 |
Elective II | 3 |
Understanding of Holy Quran I ** | 1 |
Total | 9/10** |
Semester 2 | |
Elective III | 3 |
Elective IV | 3 |
Elective V | 3 |
Understanding of Holy Quran II ** | 1 |
Total | 9/10** |
Semester 3 | |
Thesis | 6 |
Semester 4 | |
Thesis | 6 |
Semester 5 | |
Thesis | 9 |
Semester 6 | |
Thesis | 9 |
Five elective courses shall be selected from each respective PhD program