The M.Tech in Data Science (Flexible Timing Work Integrated Program) is designed for working professionals who aim to enhance their technical expertise in electrical engineering 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.
Choosing an M. Tech in Data Science Engineering Program at Mangalayatan University offers numerous benefits for online evening program aiming to improve skills while managing their professional and personal responsibilities. It is convenient for working professionals to access recorded lectures and study materials 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.
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