M.Tech in Engineering
Computer Sciences
with specilization in Data Sciences, AI & Machine Learning, Cloud Computing, Cyber Security
APPLY NOW SYLLABUS DOWNLOADProgram Highlights
Eminent Faculties
Engage with experts using interactive, technology-enabled virtual classrooms
Anytime Learning
Gain from recorded lectures, programme handouts, and recorded lab content
Industy Endorsed
Co-Developed Co-Designed Co-Delivered by Industry Experts
Experiential learning
It allows learners to apply concepts learnt in classroom in real work situations
Programme Overview
M.Tech-Computer Sciences is an exclusive programme that enables working professionals to specialise in many new age technologies to be ready to transition into high demand careers. The programme enables the learners to specialize in some of the fastest growing domains like Data Analytics, Internet of Things, Embedded Systems, Security, Networks and Cloud.
A comprehensive curriculum, extensive emphasis on experiential learning using remote labs and cloud labs and a flexible education methodology that enables working professionals to acquire a prestigious post graduate engineering degree while pursuing their careers, the M.Tech Software Systems is just the right programme for career growth in the software industry.
Four Semesters spread over Two Years
Batch-Size of 20 learners per branch
Skills and techniques to overcome problems related to new technologies across Globe
Prepares Learners to be suitable for various senior roles of IT Sector
Degree Awarded from UGC recognised Universities
Virtual Labs
Qualification:
Bachelor’s Degree in relevant branch of Engineering with having minimum 45% marks or its equivalent
Minimum one year of work experience.
Specialization: -Data Sciences, AI & Machine Learning, Cloud Computing, Cyber Security
Current Batch Companies
Programme Structure
| SEMESTER I | SEMESTER II | SEMESTER III | SEMESTER IV |
| Advanced Design Analysis and Algorithm | Software Engineering | Research Methodology | DISSERTATION |
| Numerical Method and Computer Programming | Advance OOPS | Pattern Recognition and Anomaly Detection | |
| Python Programming | Deep Learning | Mini Dissertation | |
| Introduction to Artificial Intelligence & Machine Learning | Departmental Elective-II | ||
| NUMERICAL METHODS AND COMPUTER PROGRAMMING-LAB | Computer Programming Lab | ||
| Advanced Design Analysis and Algorithm LAB | Advance OOPS Lab |
| SEMESTER I | SEMESTER II | SEMESTER III | SEMESTER IV |
| 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 |
| SEMESTER I | SEMESTER II | SEMESTER III | SEMESTER IV |
| Advanced Design Analysis and Algorithm | Software Engineering | Research Methodology | DISSERTATION |
| Cryptography and Network | Advance OOPS | Big Data Technologies and Framework | |
| Numerical Methods and Computer Programming | Computer Programming | ||
| Introduction to AI and ML | Cloud Computing & Virtualization | ||
| Numerical Method and Computer Programming Lab | Programming Lab | ||
| Advance DAA LAB | Advance OOPS Lab |
| SEMESTER I | SEMESTER II | SEMESTER III | SEMESTER IV |
| Cryptography and Network | Software Engineering | Research Methodology | DISSERTATION |
| Advanced Design Analysis and Algorithm | CYBER FORENSICS | Cyber laws and security policies | |
| Numerical Methods and Computer Programming | Computer Programming | ||
| Mathematical foundation for cyber security | System and network security | ||
| Numerical Method and Computer Programming Lab | Systems and network security lab | ||
| Advance DAA LAB |
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LEARNING PEDAGOGY
Convenient learning
Live & Recorded Lectures
Cutting Edge Tutorials.
Continuos Assessment
E-Tutoring
Multimedia Resources
Lectures through LMS
Online Assessment
E-Examinations
Peer Assessment
Insights from industry experts
Online Mentoring
Counseling through Experts
Resume Buidling
Networking with larger community of professionals
eDIGI Advantages
Job Fairs & Networking Events
eDIGI organizes regular events in key cities every few months for Working Professionals to explore current and upcoimg opportunities for growth
Extended Career Support
eDIGI offers career support services to learner through-Career Coaching, Personalised Mentorship, Mock Interviews etc.
Resume Building Support
eDIGI also helps Learner on building Resume to Impress Recruiters by providning tips on showcasing skills & achievements professionally.
Comprehensive Content
eDIGI provides Best-in-class and engaging content by leading faculty and industry leaders in the form of videos, cases and projects.
Affiliations
Our Academic Partners
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Disclaimer*
eDIGILEARN does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling. eDIGILEARN does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated.