MS Computer Engineering
About The Program
The MS program in Computer Engineering in the Department of Electrical and Computer Engineering at the Capital University of Science and Technology is designed to equip students with advanced knowledge and practical skills in cutting-edge computer science and engineering disciplines. Through rigorous coursework, research projects, and hands-on experience, the Computer Engineering program empowers students to become innovative problem-solvers and contribute to the advancement of technology. Graduates are well-prepared for careers in industry, academia, and research, where they can apply their knowledge to develop cutting-edge solutions to real-world challenges. The program offers a comprehensive curriculum that covers a wide range of areas, including:
- Artificial Intelligence and Machine Learning
- Computer Vision and Image Processing
- Natural Language Processing
- Cybersecurity
- Computer Networks and Communication Systems
- High-Performance Computing
- Digital Design
- Embedded Systems
Admission Requirements
- A minimum of 16 years of education leading to BS/BE/BSc in Electrical/ Electronics/ Telecommunications Engineering/ Software Engineering or equivalent.
- Minimum 2.00/4.00 CGPA or 50% marks
- CUST Admission Test / HEC Approved Test
Degree Requirements
A student admitted in this program will have to complete the degree requirements by following any one of the options given below:
(i) 24 Cr. Hrs. course work with 2 Cr. Hrs. Fehm-ul-Quran and 6 Cr. Hrs. Thesis
(ii) 30 Cr. Hrs. course work (10 courses) with 2 Cr. Hrs. Fehm-ul-Quran
The students are required to register courses offered by the department from the list appended below:
Course Work: List of Courses
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Embedded Systems | CPE7713 | 3 |
| Advanced Digital Systems | CPE8703 | 3 |
| Advanced ASIC Design and FPGAs | CPE8333 | 3 |
| Advanced Computer Architecture | CPE8313 | 3 |
| Advanced Semi-conductor Devices | CPE8233 | 3 |
| CMOS Design | CPE8243 | 3 |
| Theory of Automata | CPE8353 | 3 |
| Advanced Power Electronics | CPE8263 | 3 |
| Advanced Electric Vehicles | CPE8833 | 3 |
| Computer Vision | CPE8653 | 3 |
| Machine Learning | CPE8683 | 3 |
| Advanced Artificial Intelligence | CPE8363 | 3 |
| Neural Networks and Deep Learning | CPE8633 | 3 |
| Video Encoding and Processing | CPE8643 | 3 |
| Statistical Data Analysis & Hypothesis Testing | CPE7453 | 3 |
| Advanced Robotics | CPE8843 | 3 |
| Advanced Digital Signal Processing | CPE7613 | 3 |
| Advanced Digital Imaging Processing | CPE7623 | 3 |
| Control System Design | CPE7843 | 3 |
| Linear System Theory | CPE7813 | 3 |
| Capital University of Science and Technology Prospectus 2025-26 | 155 | – |
| Optimization Techniques | CPE8823 | 3 |
| Principle of Digital Communications | CPE7703 | 3 |
| Information and Coded Theory | CPE7723 | 3 |
| Advanced Computer Networks | CPE8713 | 3 |
| Multimedia Services over IP Networks | CPE8773 | 3 |
| Networks Security | CPE7733 | 3 |
| Software Defined Radios | CPE8723 | 3 |
| Stochastic Processes | CPE7413 | 3 |
| Smart Grid | CPE8153 | 3 |
| Radar Signal Processing | CPE8673 | 3 |
| Cellular and Mobile Communications | CPE8733 | 3 |
| Cyber Threat Intelligence | CPE7513 | 3 |
Research Thesis (6 Cr. Hrs.)
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Research Thesis | CPE8916 | 6 |
General Education (02 Cr. Hrs.)
| Course Title | Code | Cr. Hrs. |
|---|---|---|
| Fehm-ul-Quran I | CPEG7021 | 1 |
| Fehm-ul-Quran II | CPEG7031 | 1 |
CGPA Requirements
A student is required to earn a minimum 3.00/4.00 CGPA on the completion of his/her degree requirements.
Duration of Program
This is normally a two year program comprising of 4 semesters. There will be a Fall and a Spring semester in each year. The maximum duration to complete MS in Computer Engineering is 4 years.