The Doctor of Philosophy (PhD) in Computer Science is a research-intensive program aimed at advancing knowledge in computing through original contributions to the field. The program explores specialized areas such as artificial intelligence, machine learning, algorithms, data science, cybersecurity, software engineering, and distributed systems. PhD candidates conduct independent research under expert supervision, publish in peer-reviewed journals, and present at international conferences. The program prepares graduates for leadership roles in academia, advanced research, and technology innovation. Career opportunities include university professor, research scientist, R&D director, and senior roles in tech companies and government research organizations.
Minimum Duration in Years | Total Number of Semesters | Maximum Duration in Years | Credit Hours |
Minimum CGPA Required |
---|---|---|---|---|
3 | 6 | 54 |
The objectives of the program are to prepare exceptionally qualified individuals for research careers in academia and industry. The program is designed for scholars who offer evidence of exceptional scholastic ability, intellectual creativity, and research motivation.
The Ph.D. degree is viewed as a certification by the faculty that the student has a solid foundation in computer science and has performed original research in the area. The basis for gaining the degree will be the student's grasp of the subject matter of computer science, competency to plan and conduct research, and ability to express ideas adequately and professionally in oral and written language.
The doctoral program emphasizes research, and the SUIT encourages prospective candidates to involve themselves in research under the supervision of a faculty member at the earliest possible opportunity.
In addition to research activities in various areas of computer science, there are many opportunities for interdisciplinary and interdepartmental research.
After completion of the PhD in Computer Science, scholars will be able to:
Master broad knowledge in several specialized areas of Computer Science across fundamental theory, software, systems, and applications
Demonstrate in-depth knowledge in area of research
Critically analyze published work in their area of research
Apply critical thinking, problem solving and technical skills to solve problems with minimal guidance, and to carry out independent and original research.
Effectively communicate ideas and results to peers and to broader technical audiences in the form of conference papers, journal papers, and/or oral presentations
After completion of the PhD in Computer Science, scholars will be able to:
Master broad knowledge in several specialized areas of Computer Science across fundamental theory, software, systems, and applications
Demonstrate in-depth knowledge in area of research
Critically analyze published work in their area of research
Apply critical thinking, problem solving and technical skills to solve problems with minimal guidance, and to carry out independent and original research.
Effectively communicate ideas and results to peers and to broader technical audiences in the form of conference papers, journal papers, and/or oral presentations
Program Duration (Years) | 3 |
---|---|
No. of Semesters | 6 |
Admission Fee (One Time) | 10,000 |
Sem Enrollment/ Exam Fee | 5,000 |
Tuition Fee (Per Sem) | 75,450 |
Security (Refundable) | 10,000 |
Sem-1 Fee (At time of Admission) | 100,450 |
Sem-2 Fee | 80,450 |
Sem-3 Fee | 80,450 |
Sem-4 Fee | 80,450 |
Sem-5 Fee | 80,450 |
Sem-6 Fee | 80,450 |
Total Program Fee | 502,700 |
Code | Title | CrHrs |
---|---|---|
Elective I | 3-0 | |
Elective II | 3-0 | |
Elective III | 3-0 |
Code | Title | CrHrs |
---|---|---|
Elective IV | 3-0 | |
Elective V | 3-0 | |
Elective VI | 3-0 |
Code | Title | CrHrs |
---|---|---|
RES 900 | Dissertation | 0-9 |
Code | Title | CrHrs |
---|---|---|
CS 714 | Systems Development for Computational Science | 3-0 |
CS 716 | Special Topics in Computer Science | 3-0 |
CS 814 | Emerging Technologies in Computer Science | 3-0 |
RES 801 | Research Methods for Computer Science (for those research scholars who had not taken research methods course in MS degree program) | 3-0 |
Code | Title | CrHrs |
---|---|---|
COM 711 | Research Topics in Computer Networks | 3-0 |
COM 732 | Broadband Communication | 3-0 |
COM 733 | Wireless Communication | 3-0 |
COM 834 | Network Security and QoS | 3-0 |
COM 735 | Mobile Adhoc Networks | 3-0 |
COM 812 | Simulation and Modeling | 3-0 |
Supporting Courses | ||
MA 821 | Probability and Random Processes | 3-0 |
Code | Title | CrHrs |
---|---|---|
CS 834 | Parallel Algorithms on Multicore Systems | 3-0 |
CS 844 | General Purpose Programming on | |
Graphic Processing Units | 3-0 | |
CS 823 | Grid Computing | 3-0 |
Supporting Courses | ||
MA 833 | Advanced Numerical Analysis | 3-0 |
CS 837 | Distributed Computing | 3-0 |
Code | Title | CrHrs |
---|---|---|
SE 741 | Research Topics in Software Engineering | 3-0 |
SE 742 | Software Requirement Engineering | 3-0 |
SE 743 | Software Quality Management | 3-0 |
SE 744 | Software Design Patterns | 3-0 |
SE 745 | Software Estimation | 3-0 |
SE 841 | Special Topics in Software Engineering | 3-0 |
SE 715 | Software Quality Metrics | 3-0 |
SE 746 | Reliable Software Architectures | 3-0 |
Code | Title | CrHrs |
---|---|---|
CS 711 | Digital Image Processing | 3-0 |
CS 815 | Advanced Machine Learning | 3-0 |
CS 861 | Advanced Computer Vision | 3-0 |
CS 862 | Pattern Recognition | 3-0 |
CS 855 | Probabilistic Graphical Models | 3-0 |
CS 871 | Medical Image Processing and Analysis | 3-0 |
Supporting Courses | ||
MA 821 | Probability and Random Processes | 3-0 |
CS 754 | Digital Signal Processing | 3-0 |
Code | Title | CrHrs |
---|---|---|
CS 824 | Parallel and Distributed Computing | 3-0 |
CS 830 | Cluster and Grid Computing | 3-0 |
CS 825 | Cloud Computing | 3-0 |
Supporting Courses | ||
CS 836 | Mobile Cloud Computing | 3-0 |
CS 846 | Big Data | 3-0 |
CS 854 | Internet of Things | 3-0 |
Procedure to Apply In-Person
Procedure to Apply Online