Overview
M.Tech in Data Science and Analytics (Master of Technology in Data Science and Analytics) is a 2-year postgraduate programme in engineering (data science). It covers statistics, programming in Python and R, machine learning, data mining, big-data tools and visualisation.
Course Details
- Level: Postgraduate (PG)
- Duration: 2 years
M.Tech in Data Science and Analytics is listed as a 2-year programme. Confirm the structure with the institute.
Eligibility
A B.Tech or B.E. degree in the relevant branch (or a related one) from a recognised institute with the marks set by the institute, and a valid GATE score where the institute requires it.
Admission
Admission is through GATE (with COAP for the IITs and IISc and CCMT for NITs and other institutes), or through institute and university tests and merit; sponsored and part-time routes exist at some institutes. Check each institute's notice.
Registration & Recognition
Engineers do not need a licence for most roles in India. Chartered Engineer status (Institution of Engineers, India) is optional, and government and PSU engineering posts follow their own recruitment rules (for example the Engineering Services Examination, and PSU recruitment through GATE). Check that the institute and programme have AICTE approval, and look at NBA accreditation of the branch.
What You Will Learn
The programme covers statistics, programming in Python and R, machine learning, data mining, big-data tools and visualisation.
Where You Can Work
Typical settings include manufacturing, construction, power, IT and technology companies, public-sector undertakings and government departments, consulting and design firms, research and development labs, start-ups, and your own business.
Career Options
Graduates can work as data scientist or analyst, machine-learning engineer, analytics consultant, software engineer. Roles, pay and requirements vary by employer, city and experience.
After This Course
You can move on to a PhD, faculty roles, R&D and specialist engineering roles, PSU and government technical posts, or entrepreneurship.