MTech CSE in Cloud Computing Flexible Timing Work Integrated Program 2026

Among flexible timing work-integrated programs, the M.Tech in Cloud Computing will be offered on weekends or in the evenings. MTech wilp admission in the Cloud Computing course is specially tailored for working professionals who want to enhance their skill set and educational qualifications with a master's degree. Their master's degree would help them to upscale their expertise in this rapidly growing field of cloud computing.

During M.Tech in cloud computing, professionals are exposed to advanced learning on topics like cloud security and privacy, advanced networking in the cloud, virtualisation technologies, fundamentals of cloud architecture, and so on and so forth. There are various career opportunities in different roles, such as Cloud Security Analysis, IT Infrastructure Management, Data Centre Administration, Cloud Solution Design and Development, Research and Development in Cloud Technologies, etc.

Benefits of Flexible Timing Part-Time MTech Engineering in Cloud Computing Program for Working Professionals

The course programs are held in the evenings and at weekends to offer a more flexible learning option to working professionals. They can pursue their course program while being anywhere on the globe.
The part time course focuses on organization organisation-centric programs based on practical training as well as concept-based learning to gain experience in real-world projects at work and establish a synergy between academic and professional experiences.
The strategic decision-making abilities are extremely critical for senior roles in the field of Information Communication and Technology (ICT), which can be learned after completing the course.
Career Advancement with MTech Cloud computing could play a strategic game changer in your professional graph, which may also lead to higher raises in salaries and job designation roles.

FEE STRUCTURE & COURSE DURATION

APPLICATION FEES

₹ 1,000 (one time)

(Non-Refundable)

SEMESTER FEES

₹ 36,000

(per semester)

EXAMINATION FEES

₹ 1,000

(per semester)

COURSE DURATION

2 Years

Why Choose M.Tech CSE Engineering in Cloud Computing Evening Program in India

M. Tech in Cloud Computing Engineering Program from Mangalayatan University for working professionals has always been a matter of great convenience and a fruitful decision. The lectures are offered to students in the form of recorded lectures or live sessions, along with study material to help them learn and improve their employability.

Exposure and focused learning about industry technologies like cloud computing and its security and innovation for further upgradation of the version has always been commendable and support to the information technology industry.

PROGRAMME DETAILS

Programme Features

M.Tech. CSE-Cloud Computing is a Working Professional Program, recognized by UGC.
The programme is of four semesters, with classes conducted on weekends or after business hours.
Well-organised and secure examination facility.
Lectures are delivered by faculty members and experienced industry professionals.
The Dissertation in the final semester enables students to apply concepts and techniques learnt during course work to solve current environmental problems.
The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
Participants who successfully complete the programme are awarded with Master’s Degree in CSE-Cloud Computing.

Programme Structure

1st SEMESTER	2nd SEMESTER	3rd SEMESTER	4th SEMESTER
Advanced Design Analysis and Algorithm	Software Engineering	Research Methodology	Practical
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