M.Tech program in Data Science is a great option for individuals who want to specialize in the field of data science, which involves extracting insights and knowledge from large and complex datasets. Data science is a rapidly growing field with applications in various industries such as finance, healthcare, e-commerce, and more.
M.Tech program in Data Science is a great option for individuals who want to specialize in the field of data science, which involves extracting insights and knowledge from large and complex datasets. Data science is a rapidly growing field with applications in various industries such as finance, healthcare, e-commerce, and more.
1. M.Tech- Cyber Security 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 Cyber Security Engineering.
| Ist SEMESTER | 2nd SEMESTER | 3rd SEMESTER | 4th SEMESTER |
|---|---|---|---|
| Cryptography and Network | Software Engineering | Research Methodology | Major Dissertation |
| Advanced Design Analysis and Algorithm | Soft Computing | Big Data Analytics | |
| Numerical Method and Computer Programming | Computer Programming | Mini Project | |
| Data Warehousing & Data Mining | Introduction to Data Science | ||
| Numerical Method and Computer Programming Lab | Computer Programming Lab | ||
| Advance DAA LAB | Soft Computing Laboratory |
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
