PhD ARTIFICIAL INTELLIGENCE
Eligibility Criteria:
18 Years Education in the relevant discipline with a minimum CGPA of 3.00/4.00 (Semester System) or 60% marks (Annual System). NTS-GAT (General) or GRE (General) Test passed with minimum 60% marks or BU Admission Test (60% passing marks). Initial Research Proposal/Statement of Purpose is required at the time of PhD admission.
Semester-wise Road map
Semester 1
| Sr. No | Pre-requisite Course Code | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| Coursework (Elective-I) | 03 | ||||
| Coursework (Elective-II) | 03 | ||||
| ESC 801 | Research Methods in PhD Studies | 03 | |||
| Total Credit Hours | 09 |
Semester 2
| Sr. No | Pre-requisite Course Code | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| Coursework (Elective-III) | 03 | ||||
| Coursework (Elective-IV) | 03 | ||||
| Coursework (Elective-V) | 03 | ||||
| Total Credit Hours | 09 |
Semester 3
| Sr. No | Pre-requisite Course Code | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| --- | Comprehensive Exam | ||||
| THS 899 | Thesis | 09 | 4,8,9 | ||
| Total Credit Hours | 09 |
Semester 4
| Sr. No | Pre-requisite Course Code | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| THS 899 | Thesis (Continue) | 09 | 4,8,9 | ||
| Total Credit Hours | 09 |
Semester 5
| Sr. No | Pre-requisite Course Code | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| THS 899 | Thesis (Continue) | 09 | 4,8,9 | ||
| Total Credit Hours | 09 |
Semester 6
| Sr. No | Pre-requisite Course Code | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| THS 899 | Thesis (Continue) | 09 | 4,8,9 | ||
| Total Credit Hours | 09 |
University Requirement
| Sr. No | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| 1 | ESC 801 | Research Methods in PhD Studies | 03 | 4 |
List of Elective Courses
| Sr. No | Pre-requisite Course Code | Course Code | Course Title | Credit Hours | 17 UN SDGs alignment (please mention relevant SDG No.) |
| SEN 819 | Advance Neural Networks & Fuzzy Logic | 3 | 9 | ||
| CSC 800 | Advanced Al Networking | 3 | 9, 11 | ||
| CSC 881 | Advanced Cloud Computing | 3 | 9, 13 | ||
| CSC 860 | Advanced Complexity Theory and Algorithms | 3 | 9 | ||
| CSC 841 | Advanced Computational Linguistics | 3 | 4, 10 | ||
| CSC 864 | Advanced Computer Vision | 3 | 9, 3 | ||
| EEN 833 | Advanced Computer vision for Robotics | 3 | 9, 11 | ||
| DSC 800 | Advanced Data Analytics | 3 | 9, 17 | ||
| DSC 802 | Advanced Data Visualization | 3 | 4, 9 | ||
| DSC 807 | Advanced Deep Learning | 3 | 9, 3 | ||
| CSC 801 | Advanced Information Retrieval | 3 | 9, 4 | ||
| CSC 851 | Advanced Pattern Recognition | 3 | 9, 3 | ||
| EET 836 | Al for Future Communication Systems | 3 | 9, 11 | ||
| EEP 805 | Artificial Intelligence Techniques in Power Systems Design | 3 | 7, 9 | ||
| SEN 862 | Emerging Trends in Big Data Analytics | 3 | 9, 17 | ||
| SEN 820 | Emerging Trends in Human Computer Interaction | 3 | 10, 4 | ||
| EEN 832 | Fuzzy Logic and Neural Network Based Intelligent control systems | 3 | 9 | ||
| EEN 834 | Human-Robot Interaction | 3 | 8, 9 | ||
| SEN 809 | Internet of Things: Design and Applications | 3 | 11, 9 | ||
| SEN 864 | Knowledge Representation and Reasoning | 3 | 4, 9 | ||
| CSC 819 | Research Trends in Machine Learning | 3 | 9, 17 | ||
| SEN 861 | Semantic Web Modeling and Applications | 3 | 9, 4 | ||
| AIC 801 | Intelligent Video Analytics | 3 | 16 | ||
| AIC 802 | Artificial Intelligence in Sports Analytics | 3 | 3 | ||
| AIC 811 | Ubiquitous Computing and Intelligent Systems | 3 | 11, 9 | ||
| AIC 803 | Design of Intelligent Information Systems | 3 | 9, 8 | ||
| AIC 812 | Brain-Computer Interface | 3 | 3, 10 | ||
| AIC 821 | Intelligent Transportation Systems | 3 | 11, 9, 13 | ||
| AIC 822 | Neurocomputation | 3 | 3, 9 | ||
| AIC 831 | Advanced Reinforcement Learning | 3 | 9, 8 | ||
| AIC 832 | Special Topics in Artificial Intelligence for Cyber Security | 3 | 16, 9 |
Research Them Areas for PhD in AI
PhD(AI) covers the broad areas of AI. Some more specific themes of interest at the moment are:
- Intelligent Data & Learning Systems
- Generative AI
- Computer Vision & Perceptual AI
- AI for Sustainable & Smart Systems
- Human-Centered & Scalable AI
- Soft Biometrics & Behavioral Intelligence
- Biomedical Signal Processing, Medical Imaging, Precision Agriculture
However, PhD candidates are encouraged to contact the department to discuss any other research ideas of their interest so that they can be linked with appropriate supervisors.
