M.Tech. Data 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 Analytics is a postgraduate program that focuses on providing in-depth knowledge of data analytics techniques and tools to students. The course is designed to train students in various aspects of data analysis, including data processing, data visualization, statistical analysis, machine learning, and predictive modeling. Here are some highlights of the program:
M.Tech. Data analytics Entrance Exam:
The entrance exam for M.Tech. in Data Analytics varies from college to college. Some of the popular entrance exams include GATE, GRE, and GMAT. However, some colleges may conduct their own entrance exams.
M.Tech. Data analytics Eligibility:
To be eligible for M.Tech. in Data Analytics, students must have a Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. The minimum eligibility criteria vary from college to college.
M.Tech. Data analytics Duration:
The program typically takes two years to complete, comprising of four semesters.
M.Tech. Data analytics Selection Criteria:
The selection criteria for M.Tech. in Data Analytics varies from college to college. Some colleges consider the candidate's score in the entrance exam, while others may also consider their academic record, work experience, and performance in the interview.
M.Tech. Data analytics How to Apply:
Students can apply for M.Tech. in Data Analytics online by filling out the application form on the college's website. Some colleges may also require students to submit hard copies of the application form and supporting documents.
M.Tech. Data analytics Application Fee:
The application fee varies from college to college.
M.Tech. Data analytics Syllabus:
The syllabus for M.Tech. in Data Analytics typically includes courses on data analysis, data processing, data visualization, statistical analysis, machine learning, predictive modeling, and database management. The specific courses may vary from college to college.
M.Tech. Data analytics Salary and Jobs:
After completing M.Tech. in Data Analytics, students can work as data analysts, data scientists, business analysts, machine learning engineers, and database administrators. The average starting salary for M.Tech. in Data Analytics graduates ranges from INR 4-8 lakhs per annum.
M.Tech. Data analytics Career Opportunities:
The demand for data analysts and data scientists is on the rise, and there are ample career opportunities in this field. Graduates can find jobs in various sectors, including IT, finance, healthcare, e-commerce, and retail.
Overall, M.Tech. in Data Analytics is a promising program that offers excellent career opportunities to students who are interested in data analysis and management.
M.Tech. Data analytics is a two-year master degree program in Computer Science and its application. The field of Data Analytics incorporates the elements of utilizing PC innovation or IT for revealing, investigating and checking information. M.Tech. Data analytics spreads out to up-and-comers the vital devices, procedures, and operations identified with the field for its application in different areas like KPO, BPO and other such.
The Data Analytics program covers the specific administrations in the field which incorporates working in verticals of Banks, CRM, Risk Analysis, Retail Marketing and significantly more. The program is set with the perspective on decreasing the lack of labor in the regions perceived as one of the blasting businesses over the world which is information science and its entrance. The program empowers applicants in assimilating in them the details for computing information, drawing bits of knowledge and the devices required to produce and include data.
Profession Prospects
After the effective finishing of M.Tech. Data analytics program, up-and-comers of M.Tech. Data analytics have a plenty of alternatives in its regions and web improvement. They are well-prepared to settle on vocation prospects in regions 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 open segment. They can progress toward becoming IT Consultants, Web Application Developer, IT Analyst, Software Designer, Software Programmer, Product Development Analyst, Database Administrator, Network Administrator, Technical Analyst and significantly more.
NOTE:- Students who are admitted must bring all the original documents to with them to the Institute Campus. Students failing to present all relevant original documents upon request may be denied admission or later told to leave the university.
Given below are few of the important highlights of the program.
Program Full Name | Master of Technology in Data Analytics |
Program Level | Master Degree Courses |
Duration of the Program | 2 Years |
Examination Type | Year |
Eligibility | B.Tech In Related Subject with 50% Marks from a recognized university |
Admission Process | Entrance Exam and Merit Based |
Average Program Fee | Upto Rs. 1 Lakh |
Syllabus of Management as prescribed by various Universities and Colleges.
Paper Code | Subjects of Study |
1 | Econometrics |
2 | Programming Foundations for Data Sciences |
3 | Data Warehousing and Data Mining |
4 | Mathematics for Data Analytics |
5 | Machine Learning |
6 | Elective I |
7 | Elective |
8 | Data Analytics Lab |
9 | Large-Scale Graph Analytics |
10 | Empirical Research |
11 | Big Data Technologies |
12 | Elective III |
13 | Elective IV |
14 | Elective V |
15 | Advanced Data Analytics Lab |
16 | Industrial Internship I |
17 | Industrial Internship II |
18 | Dissertation or Industrial Project |
Mentioned below are some states in India that offer the program.