
Working professionals can advance their careers without leaving their jobs thanks to Mangalayatan University's M. Tech. Computer Science Engineering Program in Aligarh. This part-time course is offered by MUA. With flexible learning options like weekend, and evening classes, the M. Tech Computer Science Engineering degree program makes it simpler for students to advance their skills while juggling work obligations. For those who prefer in-person learning after work hours, the M. Tech. Computer Science Engineering Evening Program is an excellent choice at Mangalayatan University, Aligarh.
(Non-Refundable)
(per semester)
(per semester)
Professionals can continue working while pursuing higher education thanks to the program.
For people who prefer structured classroom instruction after work, the M. Tech. Computer Science Engineering Evening Course is perfect.
For those with travel or remote work obligations, the M. Tech. Computer Science Engineering Part-Time Courses offer flexibility.
For seasoned professionals, the M. Tech. Computer Science Engineering for Working Professionals Program provides an expedited path.
Working professionals who want to improve their abilities and career prospects should enroll in the M.Tech. Part-time degree course in computer science engineering. This program guarantees that education blends in with your work life with flexible scheduling, evening classes, and flexible learning options. Take your career to the next level by enrolling today!
Scalable, on-demand computer resources and virtualization technologies are the main components of cloud computing. To facilitate smooth data storage, computing, and networking solutions for businesses, startups, and digital transformation projects, engineers acquire expertise in cloud architecture, deployment models, security, and DevOps.
The specialization in cybersecurity includes risk management, cryptography, network security, and ethical hacking. In sectors like banking, healthcare, and defense, engineers learn how to defend digital infrastructure against cyberattacks, guaranteeing data privacy, secure communication, and regulatory compliance.
Statistical modelling, machine learning, and big data analytics are all components of data science. To make data-driven decisions and support advancements in the automation, e-commerce, healthcare, and finance sectors, engineers become experts in data visualization, predictive analytics, and AI-driven insights.
Deep learning, neural networks, and intelligent automation are the main topics of this specialization. With the help of creative, self-learning algorithms and predictive intelligence, engineers create intelligent applications, natural language processing (NLP) systems, and AI-driven solutions for robotics, healthcare, finance, and other fields.
The programme duration is 2 years.

Live & Recorded Lectures with cutting-edge tutorials.

Interact and Collaborate with Peers and Faculty

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

















