M.Tech CSE in Data Science Flexible Timing Work Integrated Program 2026

The M.Tech CSE in Data Science (Flexible Timing Work-Integrated Program) is designed for working professionals who aim to enhance their technical expertise in data science while balancing their professional commitments. This program is tailored to provide practical, industry-relevant knowledge through a blend of theoretical learning and on-the-job application.

The curriculum includes the elaborate study of Python/R Programming, Big Data Technologies, Data Engineering on cloud computing platforms etc. Opens career opportunities with enhanced expertise in power systems and technologies in industries like information technology, ITES, automotive, robotics, banking and other various sectors.

Benefits of Flexible Timing Part-Time M.Tech CSE in Data Science for Working Professionals

A Flexible Timing MTech part-time degree course in data science offers several benefits tailored to the needs of working professionals. The evening and weekend classes are arranged for working professionals to make their learning flexible. Eventually, the hybrid learning options help them to learn from any place in the world.
Industry-Relevant Learning, the program focuses on practical training that can be applied to real-world projects at work, creating a synergy between academic and professional experiences.
Skill Enhancement: Gain specialised knowledge with strategic thinking and decision-making abilities critical for senior roles in the field of renewable energy systems, and advanced motor designs with energy-efficient drives.
Career Advancement opens doors to senior technical roles in data science and analytics, big data as a Systems Engineer, Software engineer, programmer, etc., with specialised knowledge often leading to higher salaries and better positions.

FEE STRUCTURE & COURSE DURATION

APPLICATION FEES

₹ 1,000 (one time)

(Non-Refundable)

SEMESTER FEES

₹ 36000

(per semester)

EXAMINATION FEES

₹ 1,000

(per semester)

COURSE DURATION

2 years

Why Choose M.Tech CSE in Data Science Evening Program in India

Choosing an M.Tech in Data Science Engineering Program at Mangalayatan University offers numerous benefits for an evening program, aiming to improve skills while managing professional and personal responsibilities. It is convenient for working professionals to access recorded lectures and study materials, allowing them to learn at their own pace.

Exposure and focused learning about industry technologies like Python, R, and SQL, as well as frameworks like TensorFlow and PyTorch, with cutting-edge research and innovation in machine learning, artificial intelligence, big data, and statistics. The demand for specialists in the field of data science is growing due to advancements in information technology.

PROGRAMME DETAILS

Programme Features

M.Tech- Data Science 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 Data Science.

Programme Structure

1st Semester	2nd Semester	3rd Semester	4th Semester
Cryptography and Network Security	Software Engineering	Research Methodology	Major Dissertation
Advanced Design and Analysis of Algorithms	Soft Computing	Big Data Analytics
Numerical Methods and Computer Programming	Computer Programming	Mini Project
Data Warehousing and Data Mining	Introduction to Data Science
Numerical Methods and Computer Programming Lab	Computer Programming Lab
Advanced Design and Analysis of Algorithms Lab	Soft Computing Lab