GIU is an extraordinary place for learning, discovery and transformation. Here, you have the freedom to ask questions, challenge the ordinary and spark innovation. We seek out bright and curious minds with revolutionary ideas to create an empowering community of leaders and change makers.
Objectives
- To develop advanced research capabilities in computer science.
- To enable scholars to contribute original knowledge in areas like Artificial Intelligence, Data Science, and Emerging Technologies.
- To produce professionals capable of solving real-world problems through scientific methods and computing innovations.
- To prepare scholars for leadership roles in academia, research, and the tech industry.
Role and Scope
- Faculty positions in national/international universities.
- Senior-level research roles in IT industry, R&D organizations, and think tanks.
- Tech entrepreneurship and innovation leadership.
- Policy advisory and consultancy in emerging technologies.
- Contribution to national technology-based development.
Semesters and Courses
Course Work (Semester I & II)
| Code | Semester | Pre-Requisite | Credit Hours |
|---|---|---|---|
| PhCS8101 | Recent Trends in Computing (Core Course-I) | No | 3 |
| PhCS82XX | Elective I | No | 3 |
| PhCS82XX | Elective II | No | 3 |
| Total Credit Hours Semester I | 9 | ||
| PhCS82XX | Elective III | No | 3 |
| PhCS82XX | Elective IV | No | 3 |
| PhCS82XX | Elective V | No | 3 |
| Total Credit Hours Semester II | 9 |
Research Work (Semester III to VI)
| Semester | Code | Title | Pre-Requisite |
|---|---|---|---|
| Semester III | PhCS8301 | PhD Thesis | No |
| Semester IV | PhCS8301 | PhD Thesis | No |
| Semester V | PhCS8301 | PhD Thesis | No |
| Semester VI | PhCS8301 | PhD Thesis | No |
| Total Credit Hours (Research) | 30 | ||
| Total Credit Hours (Course Work + Research) | 48 |
Summary
| Item | Details |
|---|---|
| Total Number of Credit Hours | 48 |
| Duration | 3 to 5 Years |
| Semester Duration | 16–18 Weeks |
| Semesters | 6 |
| Course Load per Semester (Course Work) | 9 Credit Hours |
| Number of Courses per Semester | 3 (in course work phase) |
List of Elective Courses
| # | Course |
|---|---|
| 1 | Advanced Fuzzy Logic & Neural Networks |
| 2 | Advanced Computer Network |
| 3 | Advanced Data Mining and Warehousing |
| 4 | Advanced Digital Image Processing |
| 5 | Advanced Internet of Things: Communication Technologies |
| 6 | Advanced Artificial Neural Networks |
| 7 | Advanced Computational Intelligence |
| 8 | Advanced Machine Learning |
| 9 | Advanced Data Science & Emerging Technologies |
| 10 | Advanced Human Computer Interaction |
| 11 | Advanced Big Data Analytics |
| 12 | Advanced Emerging Technologies & Soft Computing Approaches |
| 13 | Advanced Data Visualization |
| 14 | Coding Theory |
| 15 | Heuristic Computational Techniques |
| 16 | Advanced Digital Communication |
| 17 | Pattern Recognition |
| 18 | Stochastic Processes |
| 19 | Advanced Quantum Computing |
| 20 | Special Topics in Machine Learning and Data Science |
| 21 | Advanced Deep Learning |
| 22 | Advanced Cloud Computing |
| 23 | Natural Language Processing |
| 24 | Qualitative Research Method and Techniques |
| 25 | Theory, Performance Analysis & Application of Neural Networks |
| 26 | Special Topics in Computer Engineering |
| 27 | Research Trends in Software Architecture |
| 28 | Topics in Information Retrieval |