Duration of Program 2 Years (4 Semesters)
Seats 10 only
In this specialisation, students learn about essential concepts such as data structures, algorithms, OOPS concepts using Java, databases, software engineering and design processes. Students will also obtain an in-depth knowledge of machine learning and artificial intelligence by implementing relevant real-world problems in a wide variety of application domains such as robotics, computer vision, natural language processing, etc. Students will be experienced in machine learning pipeline, data, models, algorithms, and empirics.
Co-Delivered Courses by Partner Industries
The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.
The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.
SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.
- Scholarship @ Rs. 12,400/- per month for Students having 70 percentile and above in GATE.
- Students admitted to M. Tech program in the academic session 2020-21 with valid GATE score 70 percentile and above will be considered for scholarship @ Rs. 12,400/- per month during their period of registration with the University.
All Students will also be eligible to avail a grant up to a sum of Rs. 50,000/- towards outcome-based research as per rules & regulations framed for the purpose by the University.
To become eligible for the continuance scholarship in subsequent semesters, the students are required to have
- earned minimum SGPA / CGPA of 8.0 in each semester
- passed every semester examination in the first attempt besides maintaining regular attendance, discipline, exemplary behavior and compliance with all other norms as prescribed by the University from time to time
Disclaimer: Only one category of scholarship can be availed by student, Multiple scholarship to one candidate will not be granted