Data Science is a field that gives valuable insights from unstructured data points, using various scientific methods and algorithms. It is interdisciplinary and combines the fields of mathematics, statistics, artificial intelligence, computer science and different domains and helps in creation of forecasts, and data-driven decisions. In our programme, students learn from expert faculty and industry professionals, in collaboration with upGrad Campus, and solve real-world problems in their domains, via capstone projects, case studies or thesis work. They also receive extensive career support and placement assistance to start and accelerate their career.
During the course of the degree programme, the following Modular Masters certifications will be awarded by upGrad Campus
Should a student pause the degree programme, accumulated course credits will be accounted for in the Academic Bank of Credits that they can use later towards their M.Tech. Data Science degree, as per the New Education Policy (NEP) and the following certifications will be awarded
M.Tech. Data Science offers electives for specialisation in
Artificial Intelligence
Networks, IoT and Cyber Security
Business Analytics
Computational Aerospace, Computational Mechanical
Computational Science
For details on the program structure, curriculum and course syllabus, download the program brochure available here Download
Focus on equipping domain experts with the most relevant and sought-after computing and data analytics skills
Joint-degree with upGrad Campus, with 100% placement assistance
Support for developing an appealing portfolio and assistance through a Placement Preparation Module comprising Resume Building, LinkedIn Profile Builder, Mock interviews, Career Guidance and access to Exclusive Job Portal by upGrad.
Learn through live-projects, capstone projects that simulate actual projects in top companies across industry and case studies.
Live Sessions with dedicated industry experts working in various companies and personalized guidance by upGrad Campus mentors.
Recruitment partnership with over 1000 top companies
Advisory Board with eminent academicians, industry leaders and entrepreneurs to drive the vision of the programme
Locational advantage of Bengaluru which is regarded as the Silicon Valley of India and it is considered as one of the ‘Next Decade’s Fastest — Growing Cities’ by Forbes Magazine
The institute seeks diversity of background and interests, from a wide range of corporations, public institutions and other professional fields. A candidate seeking admission into M.Tech. Data Science programme must have:
– 4-year bachelor’s degree/ MCA/ M.Sc./ B.Sc. (Research) in Core Engineering or allied subjects duly recognized by UGC/ AIU, with minimum aggregate marks of 50% for General, 47% for NC-OBC, and 45% for SC/ST/DAP or
– AIME or equivalent degree approved by statutory bodies
Based on final merit list which would consider
– Performance of the candidate in the personal interview.
March 31st, 2021
Select the course and fill out the application form. Apply online https://admissions.rvu.edu.in/
Complete the course-based selection process
Subject to fulfillment of eligibility and admission process
On receipt of registration fee as specified in the selection letter
Issued upon completion of the selection process
Apply through KCET: See details at https://kea.kar.nic.in
Depends on the course applied
Subjected to fulfilment of eligibility and admission criteria
On receipt of registration fee as specified in the selection letter
Issued upon completion of the selection procedure
Admission process and fee payment need to be completed on campus.
DOCUMENTS TO BE SUBMITTED AT THE TIME OF ADMISSION.
Details of Fee Structure for the programme are as follows:
Contact Admissions regarding early bird offers, corporate enrollment waivers, financial aid and merit scholarships.
Data scientist jobs have been the most demanding jobs of the 21st century due to the explosion in the data available globally. The International Data Corporation (IDC) predicts that by 2030, global data will grow to 175 zettabytes, which means we will continue to be in dire need of quality Data Science professionals in the next 10 years.
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Our team is here to address and answer all your questions.
M.Tech. Data Science for working professionals
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