MTech in Data Science (Master of Technology in Data Science)

M.tech in Data Science,Highlights, Entrance Exam, admission, Eligibility, Duration, Selection Criteria, How to Apply, Application Form, Application Process, fee, Syllabus,Salary and Jobs,career opportunities

M.Tech in Data Science is a postgraduate program that focuses on data analysis, machine learning, and artificial intelligence. The program is designed to equip students with the skills and knowledge required to analyze complex data sets, build predictive models, and make data-driven decisions.

Here are the highlights of the M.Tech in Data Science program:

M.tech in Data Science Eligibility: Candidates must have a Bachelor's degree in Engineering or Science with a minimum of 50% aggregate marks. They must also have a valid GATE score.

M.tech in Data Science Duration: The program is typically 2 years long, divided into 4 semesters.

M.tech in Data Science Selection Criteria: Admissions are based on the candidate's GATE score, academic record, and performance in the entrance exam and interview.

M.tech in Data Science Entrance Exam: Some institutes may conduct their own entrance exam, while others may accept GATE scores.

M.tech in Data Science How to Apply: Candidates can apply for the program through the institute's website. They must fill out the application form, upload the required documents, and pay the application fee.

M.tech in Data Science Application Fee: The application fee varies from institute to institute but is typically around Rs. 1000 to Rs. 2000.

M.tech in Data Science Syllabus: The syllabus includes courses on data mining, machine learning, statistical analysis, big data, and data visualization.

M.tech in Data Science Career Opportunities: Graduates of the program can work as data scientists, data analysts, machine learning engineers, data engineers, business analysts, and more.

M.tech in Data Science Salary: The salary of M.Tech in Data Science graduates varies based on the job role and the industry. However, on average, they can expect to earn around Rs. 6 lakhs to Rs. 20 lakhs per annum.

Some of the top institutes in India that offer M.Tech in Data Science include:

Indian Institute of Technology (IIT), Delhi

Indian Institute of Technology (IIT), Bombay

Indian Institute of Technology (IIT), Kharagpur

Indian Institute of Technology (IIT), Madras

Indian Institute of Technology (IIT), Kanpur

Indian Institute of Technology (IIT), Hyderabad

Indian Institute of Technology (IIT), Guwahati

Indian Institute of Technology (IIT), Roorkee

National Institute of Technology (NIT), Trichy

Vellore Institute of Technology (VIT), Vellore

Overall, M.Tech in Data Science is a highly sought-after program that opens up a range of career opportunities for graduates. With the growing demand for data-driven decision-making, the need for skilled data scientists is only going to increase in the future. 

M.Tech in data science is a master degree course. Data science is a multi-disciplinary field that utilizations logical techniques, procedures, calculations and frameworks to remove Data and bits of knowledge from organized and unstructured Data. Data science is a similar idea as Data mining and enormous Data: "utilize the most dominant equipment, the most dominant programming frameworks, and the most proficient calculations to take care of issues". 

Data science is an "idea to bind together measurements, Data examination, AI and their related techniques" so as to "comprehend and investigate genuine wonders" with Data. It utilizes systems and speculations drawn from numerous fields inside the setting of arithmetic, measurements, software engineering, and data science. Turing grant victor Jim Gray envisioned Data science as a "fourth worldview" of science (observational, hypothetical, computational and now Data driven) and attested that "everything about science is changing a result of the effect of data innovation" and the Data downpour. In 2015, the American Statistical Association distinguished database the board, insights and AI, and circulated and parallel frameworks as the three developing fundamental expert networks.

Eligibility:

• The applicant with a minimum of 50% in Graduation with the related subject (under 10+2+3 scheme) from a recognized University.

Job Areas

• Business Intelligence Units of Banks
• Technology Consultancy Companies
• Insurance Companies
• Analytics Solutions Providers
• Business Analytics & Research industry
• Information Management Services
• Software industry