Introduction
M.E – Computer Science and Engineering offered by the Department of Computer Science and Engineering was started in the year 2012 with the intake of 18 students. The Department of Computer Science Engineering provides a sound foundation of concepts, in depth working knowledge in technology and hands on experience in software. The Department has excellent infrastructure in terms of laboratories, classrooms, seminar halls etc. A well-qualified and dedicated team of faculty members add merit to the department.
Salient Features
- The comprehensive course structure integrates technological and application aspects of computer science to provide the necessary skills in all the areas of computer applications and management.
- The course is designed to train the student to new demands of the market including Internet applications and design, besides the traditional opportunities in the computer career.
- The job opportunities available in the world of technology the student can also opt for a career in the teaching line.
- The unique opportunity to draw from the expertise of an outstanding faculty with extensive experience in industry, teaching, and research. It includes an extensive department network of UNIX, Linux, and Microsoft workstations and several departmental computer laboratories.
- It encourages student innovation.Committed to developing professional skills, like communication, entrepreneurship, and project management.
- It is not just about lectures and assignments. It’s about getting involved in a whole new range of activities on Campus.
- Faculty and students work together in an environment that fosters teamwork and leadership as well as a caring attitude toward our students.
Eligibility Criteria
A Pass in B.E./B.Tech (EEE/ECE/Electronics /IT/CSE/ I & C/ E&I/ Instrumentation ) or M.C.A (10+2+3) or M.Sc 5-year integrated (IT/CS/Software Engineering).
PROFESSIONAL CORE COURSES
The Curriculum (R-2021) for M.E – CSE covers the following:-
- Advanced Data Structures and Algorithms
- Database Practices
- Network Technologies
- Principles of Programming Languages
- Internet of Things
- Multicore Architecture and Programming
- Machine Learning
- Advanced Software Engineering
- Security Practices
PROFESSIONAL ELECTIVE COURSES
- Cloud Computing Technologies
- Advanced Operating System
- Agile Methodologies
- Quantum Computing
- High Performance Computing for Big Data
- Mobile and Pervasive Computing
- Natural Language Processing
- Block Chain Technologies
- Mobile Application Development
PROJECT DOMAINS
- Grid Computing
- Networks Security and Information System
- Image Processing
- AD-HOC Networks
- Information Retrieval
- Distributed Computing
- Cloud Computing
- Artificial Intelligence
- Mobile Computing
- Neural Networks
- Pervasive Computing