PhD Computer Science
Note:
View Research Themes of PhD programs.
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 1
| COURSE CODE | TITLE | CREDIT HRS | CORE/ELECTIVE |
| ESC 801 | Research Methods in PhD Studies |
3 |
CORE |
| Elective-I |
3 |
CORE | |
| Elective-II |
3 |
Elective |
Semester 2
| COURSE CODE | TITLE | CREDIT HRS | CORE/ELECTIVE |
| EEN-801 | Elective-III |
3 |
CORE |
| Elective-IV |
3 |
CORE | |
| Elective-V |
3 |
Elective |
Semester 3
| COURSE CODE | TITLE | CREDIT HRS | CORE/ELECTIVE |
| Comprehensive Exam |
0 |
Elective | |
| THS-900 | PhD Thesis |
9 |
Elective |
Semester 4
| COURSE CODE | TITLE | CREDIT HRS | CORE/ELECTIVE |
| THS-900 | PhD Thesis |
9 |
Elective |
Semester 5
| COURSE CODE | TITLE | CREDIT HRS | CORE/ELECTIVE |
| THS-900 | PhD Thesis |
9 |
Elective |
Semester 6
| COURSE CODE | TITLE | CREDIT HRS | CORE/ELECTIVE |
| THS-900 | PhD Thesis |
9 |
Elective |
Electives
|
Electives |
PhD |
CREDIT HRS |
CORE/ELECTIVE |
| Course Code |
Course Title |
||
| CEN 807 | Advance distributed systems |
3 |
Elective |
| SEN 819 | Advance Neural Networks & Fuzzy Logic |
3 |
Elective |
| SEN 811 | Data Ware housing and Mining |
3 |
Elective |
| DSC 807 | Advanced Deep Learning |
3 |
Elective |
| EET 851 | Mobile and ad-hoc Networks |
3 |
Elective |
| CSC 819 | Research Trends in Machine Learning |
3 |
Elective |
| CSC 851 | Advanced Pattern Recognition |
3 |
Elective |
| SEN 862 | Emerging Trends in Big Data Analytics |
3 |
Elective |
| CSC 881 | Advanced Cloud Computing |
3 |
Elective |
| CSC 820 | Advance Topics in Operating Systems |
3 |
Elective |
| EET 835 | Advance Topics in 5G and Beyond Communications |
3 |
Elective |
| EET 850 | Wireless Sensor Networks |
3 |
Elective |
| SEN 802 | Special Topics in Software Engineering |
3 |
Elective |
| SEN 818 | Secure Software Systems |
3 |
Elective |
| EET 832 | Advance topics in Network Security |
3 |
Elective |
| CEN 820 | High Performance Computer Architecture |
3 |
Elective |
| DSC 800 | Advanced Data Analytics |
3 |
Elective |
| CSC 841 | Advanced Computational Linguistics |
3 |
Elective |
| DSC 802 | Advanced Data Visualization |
3 |
Elective |
| CSC 860 | Advanced Complexity Theory and Algorithms |
3 |
Elective |
| CEN 808 | Advanced Techniques in System Modeling and Simulation |
3 |
Elective |
| SEN 816 | Middleware For Networked and Distributed Systems |
3 |
Elective |
| CSC 800 | Advanced AI Networking |
3 |
Elective |
| CSC 882 | Advanced Wireless Communications |
3 |
Elective |
| SEN 861 | Semantic Web Modeling and Applications |
3 |
Elective |
| SEN 864 | Knowledge Representation and Reasoning |
3 |
Elective |
| ISC 821 | Advance Topics in Cryptography |
3 |
Elective |
| SEN 808 | Computer and Cybersecurity |
3 |
Elective |
| SEN 809 | Internet of Things: Design and Applications |
3 |
Elective |
| EET 837 | Advanced Data Communication Systems |
3 |
Elective |
| SEN 853 | Advanced Power Aware Computing |
3 |
Elective |
| ISC 843 | Advanced Penetration Testing & Vulnerability Analysis |
3 |
Elective |
Research Themes of Computer Science
Computing and information technology are the fastest growing occupations in the world. The programs of Computer Science provide a unique opportunity to develop leading-edge in-depth knowledge of specific computer science disciplines and prepares scholars in the concepts and techniques related to the design, programming and application of computing systems.
The potential research themes / areas are as follows:
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