The Master’s Programme in Computer Engineering is an advanced, multidisciplinary course focused on the design, development, and optimization of modern computing systems. It equips students with in-depth expertise in areas such as advanced hardware architecture, software engineering, networking, embedded systems, artificial intelligence, and cybersecurity. Graduates are prepared for leadership roles in technology-driven organizations, research and development, academia, entrepreneurship, and government sectors. With technology continuously evolving, the programme offers strong career prospects and opportunities to work on cutting-edge innovations across a wide range of industries.
Intake
Eligibility Criteria
Prof. Monika Changela
Head, Department of Computer Engineering
Ph D. Pursuing, M.tech, BE
Prof. Jalpesh Ghumaliya
Head, MCA
PhD Pursuing,ME, BE
Prof. Harsh Mehta
Assistant Professor
ME, BE
Prof. Palak Vyas
Assistant Professor
ME, BE
Prof. Rahul Meghani
Assistant Professor
ME, BE
Prof. Riya Kaku
Assistant Professor
PhD Pursuing,ME, BE
Prof. Meera Vyas
Assistant Professor
ME, BE
Prof. Yashasvi Shah
Assistant Professor
ME, BE
Prof. Sheetal Joshi
Assistant Professor
Msc IT & CA, BSC
Prof. Nilesh Borisagar
Assistant Professor
ME, BE
Prof. Parisha Raval
Assistant Professor
MCA, BCA
Prof. Yashkumar Buhecha
Assistant Professor
MCA, BCA
Prof. Mehul Patel
Assistant Professor
MCA, BCA
Prof. Darshit Jivranjani
Lecturer
M.Tech, BE
Prof. Foram Rangani
Lecturer
ME, BE
Prof. Arkesh Vora
Lecturer
ME, BE
Prof. Manali Surani
Lecturer
ME, BE
Prof. Naeim Vhora
Lecturer
B.Tech
Prof. Khushali Ganatra
Lecturer
ME, BE
Prof. Sejal Trivedi
Lecturer
ME, BE
Prof. Akshay Upadhyay
Assistant professor
M.E.(I.T.), B.E.(I.T.)
Prof. Ajay Maru
Lecturer
B.E.(I.T.)
Prof. Chirag Sanchaniya
Head, Department of Humanity and Science
M.Sc. (Mathematics), B.Sc.(Mathematics)
Dr Jaydeep Ramani
Associate Professor
Ph.D, M.Phil, MCA, MBA, M.Sc.
ANDROID LAB
Android lab provides students with practical, hands-on experience in mobile app development, allowing them to apply theoretical knowledge to real-world projects.
Android app development skills are highly relevant in today's technology-driven world. Offering an Android lab equips students with in-demand skills that are valuable in the job market.
PHP LAB
PHP lab provides students with opportunities to apply theoretical concepts learned in class to practical, hands-on projects. This helps reinforce their understanding of PHP programming principles and techniques.
PHP remains one of the most widely used server-side scripting languages for web development. By engaging in PHP lab activities, students acquire skills that are directly applicable to building dynamic and interactive websites, which are essential in today's digital landscape.
CISCO LAB
Networking labs provide students with practical, hands-on experience in configuring, managing, and troubleshooting computer networks. This allows them to apply theoretical concepts learned in networking courses to real-world scenarios.
Networking skills are crucial in the field of Information Technology (IT), as networks form the backbone of modern computing infrastructures. By engaging in networking lab activities, students acquire skills that are directly applicable to roles such as network administrators, network engineers, and cybersecurity professionals.
PYTHON LAB
Python language. This allows them to apply theoretical concepts learned in programming courses to real-world coding scenarios.
Python is a versatile programming language widely used in various fields, including web development, data science, artificial intelligence, scientific computing, and automation. By engaging in Python lab activities, students acquire skills that are directly applicable to a wide range of industries and career paths.
| Subject Code | Subject Name | Theory | Tutorial | Practical | Credits | Syllabus |
|---|---|---|---|---|---|---|
| 3700001 | English for Research Paper Writing | 2 | 0 | 0 | 0 | Download |
| 3700005 | Constitution of India | 2 | 0 | 0 | 0 | Download |
| 3710001 | Research Methodology and IPR | 1 | 0 | 2 | 2 | Download |
| 3710213 | Distributed Systems | 3 | 0 | 2 | 4 | Download |
| 3710214 | Mathematical Foundations of Computer Science |
3 | 0 | 2 | 4 | Download |
| 3710215 | Advanced Data Structures | 3 | 0 | 2 | 4 | Download |
| 3710216 | Machine Learning | 3 | 0 | 2 | 4 | Download |
| 3710217 | Wireless Sensor Networks | 3 | 0 | 2 | 4 | Download |
| 3710218 | Operating System Design | 3 | 0 | 2 | 4 | Download |
| 3710219 | Data Science | 3 | 0 | 2 | 4 | Download |
| 3710220 | Parallel Programming Tools and Model | 3 | 0 | 2 | 4 | Download |
| Subject Code | Subject Name | Theory | Tutorial | Practical | Credits | Syllabus |
|---|---|---|---|---|---|---|
| 3700001 | English for Research Paper Writing | 2 | 0 | 0 | 0 | Download |
| 3700005 | Constitution of India | 2 | 0 | 0 | 0 | Download |
| 3720001 | Mini Project with Seminar | 0 | 0 | 4 | 2 | Download |
| 3720216 | Advanced Algorithms | 3 | 0 | 2 | 4 | Download |
| 3720217 | Soft Computing | 3 | 0 | 2 | 4 | Download |
| 3720218 | Secure Software Design and Enterprise Computing |
3 | 0 | 2 | 4 | Download |
| 3720219 | Computer Vision | 3 | 0 | 2 | 4 | Download |
| 3720220 | HPC Architecture and Ecosystem | 3 | 0 | 2 | 4 | Download |
| 3720221 | GPU Computing | 3 | 0 | 2 | 4 | Download |
| 3720222 | Parallel Algorithms | 3 | 0 | 2 | 4 | Download |
| 3720223 | Advanced Machine Learning | 3 | 0 | 2 | 4 | Download |
| Subject Code | Subject Name | Theory | Tutorial | Practical | Credits | Syllabus |
|---|---|---|---|---|---|---|
| 3730002 | Internal Review 1 | 0 | 0 | 4 | 2 | Download |
| 3730003 | Dissertation Phase I | 0 | 0 | 16 | 8 | Download |
| 3730005 | Business Analytics | 3 | 0 | 0 | 3 | Download |
| 3730006 | Industrial Safety | 3 | 0 | 0 | 3 | Download |
| 3730007 | Operation Research | 3 | 0 | 0 | 3 | Download |
| 3730208 | Cloud Computing | 3 | 0 | 0 | 3 | Download |
| 3730209 | High Performance Scientific Computing | 3 | 0 | 0 | 3 | Download |
| 3730210 | Compiler for HPC | 3 | 0 | 0 | 3 | Download |