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 |
