B.E/B.Tech/AMIE or its equivalent in relevant field from any recognized University/Institution, with minimum 50% marks in aggregate or equivalent grade(5% relaxation to Sc/ST/OBC-Non Crteamy Layer).
Based in overall perfomance in last examination followed by Personal Interview.
| FEE STRUCTURE 2020-21 | |||||
|---|---|---|---|---|---|
| Registration & Admission Fees(To Be Paid Once Only) | |||||
| a | Prospectus & Form | 1000.00 | |||
| b | Registration(To be paid during the admission for all courses) | 25000.00 | |||
| c | Admission Fee | 10000.00 | |||
| d | Caution Money (Common for all streams) - Refundable | 5000.00 | |||
| Tuition Fees | |||||
| Semester Payment | 39000.00 | ||||
| Yearly Payment | 75000.00 | ||||
M.Tech in Data Analytics & Engineering is a a two-year full-time program that is divided into four semesters. This program covers the specialized services in the field which includes working in verticals of Banks, CRM, Risk Analysis, Retail Marketing and much more. The program is set with the view of reducing the dearth of manpower in the areas recognized as one of the booming industries across the world which is data science and its access. The program enables candidates in imbibing in them the technicalities for calculating data, drawing insights and the tools required to generate and add information.
M.Tech. in Data Analytics & Engineering opens a myriad of options for candidates on the career front. They have lucrative opportunities in the sector of Banking, policy making, finance, commerce, infrastructure, IT and engineering. The overall aim of the program is preparing the candidates in an overall manner to transform themselves into professionals who are well-adept with the ethical norms and workings of the industry.
After the successful completion of M.Tech. in Data Analytics & Engineering program, candidates have a plethora of options in the areas of IT and web development. They are well-trained to opt for career prospects in areas of Banks, Data Cloud Companies, Websites, IT Companies, Gaming Companies, Data Cloud Companies, IT Consultancy Companies, Insurance, Telecom, Clinical, Telecom and other such both in corporate and public sector. They can choose to become IT Consultants, Web Application Developer, IT Analyst, Software Designer, Software Programmer, Product Development Analyst, Database Administrator, Network Administrator, Technical Analyst and much more.
