M.E β Computer Science & Engineering
INTRODUCTION
The Master of Engineering in Computer Science and Engineering was started in the year 2012 with an intake of 18 students. The department provides a strong foundation in core concepts along with in-depth technical knowledge and hands-on experience in software development.
The department is equipped with excellent infrastructure including advanced laboratories, classrooms, and seminar halls. A team of well-qualified and dedicated faculty members contributes significantly to academic excellence and research development.
SALIENT FEATURES
- Comprehensive curriculum covering both technological and application aspects
- Focus on modern trends including Internet applications and software design
- Opportunities in IT industry as well as academic and teaching careers
- Experienced faculty with expertise in industry, research, and teaching
- Advanced computing environment with UNIX, Linux, and Microsoft platforms
- Encourages innovation, entrepreneurship, and project management skills
- Holistic development through academic and extracurricular activities
- Strong focus on teamwork, leadership, and student-centered learning
ELIGIBILITY CRITERIA
A pass in B.E./B.Tech (EEE / ECE / Electronics / IT / CSE / I&C / E&I / Instrumentation) or MCA (10+2+3) or M.Sc (5-year integrated) in IT / Computer Science / Software Engineering.
PROFESSIONAL CORE COURSES
- 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 Systems
- Agile Methodologies
- Quantum Computing
- High Performance Computing for Big Data
- Mobile and Pervasive Computing
- Natural Language Processing
- Blockchain Technologies
- Mobile Application Development
PROJECT DOMAINS
- Grid Computing
- Network Security and Information Systems
- Image Processing
- Ad-Hoc Networks
- Information Retrieval
- Distributed Computing
- Cloud Computing
- Artificial Intelligence
- Mobile Computing
- Neural Networks
- Pervasive Computing