Govt. P.G. College MTech in Data Science and Analytics Admission 2024-25, Course-Wise Median Packages, Gallery, Yoga Day

M.Tech. Data science and analytics,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 and Analytics is a postgraduate program that focuses on training students to analyze large amounts of data and draw meaningful insights from it. Here are the highlights of the program:

M.Tech. Data science and analytics Eligibility:

Candidates should have a Bachelor's degree in Engineering or Technology in any discipline with at least 50% aggregate marks. Some institutes may also accept Bachelor's degrees in Mathematics, Statistics, or Computer Science.

Candidates should have a valid GATE score.

M.Tech. Data science and analytics Duration:

The program is usually of 2 years duration.

M.Tech. Data science and analytics Selection Criteria:

Admissions to M.Tech. Data Science and Analytics are based on GATE scores and/or entrance exams conducted by individual institutes.

M.Tech. Data science and analytics Entrance Exams:

Some of the popular entrance exams for M.Tech. Data Science and Analytics are:

GATE (Graduate Aptitude Test in Engineering)

JAM (Joint Admission Test for M.Sc.)

TANCET (Tamil Nadu Common Entrance Test)

MAH MCA CET (Maharashtra MCA Common Entrance Test)

M.Tech. Data science and analytics How to Apply:

Candidates can apply for the program through the official website of the institute they wish to apply to. The application process may involve filling out an application form, uploading required documents, and paying the application fee.

M.Tech. Data science and analytics Fee:

 The fee for M.Tech. Data Science and Analytics varies from institute to institute. It can range from around Rs. 50,000 to Rs. 3 lakhs per annum.

M.Tech. Data science and analytics Syllabus:

The syllabus of M.Tech. Data Science and Analytics typically includes courses in data analytics, machine learning, statistical analysis, data mining, data visualization, database management, and programming languages such as Python and R.

M.Tech. Data science and analytics Salary and Jobs:

Graduates of M.Tech. Data Science and Analytics can work in a variety of industries, such as healthcare, finance, retail, and IT. Some of the popular job roles for data science and analytics professionals include Data Scientist, Data Analyst, Business Analyst, Machine Learning Engineer, and Data Engineer. The salary for these roles can range from Rs. 5 lakhs to Rs. 20 lakhs per annum, depending on the industry, job role, and experience.

M.Tech. Data science and analytics Career Opportunities:

With the growing demand for data science and analytics professionals, graduates of M.Tech. Data Science and Analytics can find job opportunities in various sectors such as IT, healthcare, finance, retail, and consulting. They can also pursue research or teaching careers in academia. Additionally, many data science and analytics professionals also work as freelancers or consultants.

M.Tech. Data Science and Analytics is an postgraduate-level 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. 

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