A Master of Technology (M.Tech) in Computer Science is an advanced graduate program that delves into the intricacies of computer science and its various applications. This two-year course focuses on cutting-edge topics such as artificial intelligence, machine learning, data science, and cybersecurity. Students develop a deep understanding of algorithms, programming languages, and software engineering principles.?
M.Tech candidates often engage in research projects, enhancing problem-solving and analytical skills. Graduates are well-equipped for careers in software development, data analysis, research, and leadership roles in technology-driven industries. This program fosters innovation and prepares individuals to tackle the evolving challenges of the digital world.?
1. M.Tech- Computer Science Engineering for Working Professional is a degree course, recognized by UGC.
2. The program has four semesters adequately designed to nurture the professional with thorough knowledge of engineering subjects where classes are conducted online and with flexibility that is on weekends or after the business hours to suit the requirement of professionals.
3. Online exams are held with exam safety and appropriate assessments are done to evaluate the knowledge level of the candidate.
4. Experienced industry professionals, guest lecturers and renowned faculties take up classes and deliver lectures to make professional understand each and every concept of engineering.
5. The Dissertation enables students to comprehend the course and topics taught and apply in their current professional work.
6. An appropriate Evaluation system is used for assessment of the professionals at regular intervals and propels them to stay connected with the course programs and its application.
7. The students on successfully completion of the Degree Program are awarded with Master Degree in Computer Science Engineering.
| Ist SEMESTER | 2nd SEMESTER | 3rd SEMESTER | 4th SEMESTER |
|---|---|---|---|
| Data Structures and Algorithms | Database Management Systems | Artificial Intelligence and Machine Learning | Specialization in chosen area |
| Computer Organization and Architecture | Computer Networks | Computer Vision | |
| Mathematics for Computing | Computer Security | Natural Language Processing | |
| Programming Paradigms and Language | Software Engineering | Data Mining and Data Warehousing | |
| Operating Systems | Web Technologies |
Live & Recorded Lectures with cutting-edge tutorials.
Interact and Collaborate with Peers and Faculty
Online Mentoring
Use of Multimedia and Open Educational Resources
'Flipped' Classrooms
E-portfolio & Peer Assessment
Work Integrated Advantage
Experiential Learning
Academic & Industry Mentorship
Continuous Assessment
Dissertation/Project Work
