Updated on Nov 28, 2023 by GMU
MBA Data Science and Data Analytics is a two-year postgraduate degree that deals with data science and data analytics. The course aims to ensure that the students are well-versed with all the important data sorting and cleaning tools such as Google Data Studio. The job scope is vast as the demand for a data science and a data analytics graduates increases day by day; it is opening gates for many employment opportunities in various sectors.
|Full Form||Masters of Business Administration in Data Science and Data Analytics|
|Age||No age limit|
|Subjects Required||Not Specified|
|Minimum Percentage||50% in Under Graduation|
|Average Fees||INR 4 - 10 Lakhs|
|Average Salary||INR 4 - 20 Lakhs (Source: Payscale)|
|Employment Roles||Data Analyst, Data Engineer, Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst, Healthcare Data Analyst among others. etc.|
MBA Data Science and Data Analytics course details are designed to study collecting and analyzing, and processing raw data to provide insights into the required domain. This course emphasizes the knowledge of data analytics and the basic understanding of data analytics. It will help the students in application analytics such as neural networking, prediction algorithms, and forecasting methods applied to business strategies.
All the leading organizations of the world need skilled managers to handle all of their data. There is always a requirement of a person who can handle all the college data so that it can be presented well. The MBA Data Science and Data Analytics course duration are two years, and the course falls under the umbrella of an MBA.
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Also, Check: How to Become a Data Scientist
MBA in Data Science and Data Analytics eligibility criteria requires an undergraduate or bachelor’s degree in any discipline from a recognized university. The passing percentage should be 40% to 50% or equivalent CGPA in the undergraduate degree.
There’s a 5% relaxation for all the reserved category aspirants belonging to the OBC/SC/ST category, i.e. the passing percentage should be 40% to 45%. The aspirant's graduation should be in mathematics, Science, Physics, Engineering, or any other related field to data analytics.
An individual who wants to pursue an MBA in a data science program from any of the top 50 universities needs to keep the eligibility criteria in their mind. The candidate must have completed their bachelor's in fields related to data science.
The candidate must have an undergraduate degree (of at least 3 years) in any discipline from a UGC recognized university. The candidate must have scored at least 50% marks or equivalent in the 10+2+3 qualifying exams.
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For Admissions into MBA Data Science and Data Analytics course, one needs to pass any central level examination.After passing the cut-off marks, aspirants need to pass the interview round conducted by each college to get MBA Data Science and Data Analytics admission. The admission procedure may vary according to the colleges.
Students can apply for the course either online or offline. Students can go through the college website for applying for the course and submit the required documents. National-level entrance exams can be applied only online. Students can visit the college premises to apply offline. Fill up the application form and submit all the required documents.
After getting qualified based on entrance examination marks, aspirants need to appear for different tests or rounds held by the college, like WAT/GD/PI, for the final selection. These tests or rounds can also be conducted online. After successful completion of the rounds, one can step up for confirmation of admission.
Read More on MBA Admission
There are many national-level or state-level entrance exams considered for admission into MBA Data Science and Data Analytics courses. Mentioned below, some of the top entrance exams conducted to shortlist the most eligible aspirants for MBA Data Science and Data Analytics course admission in India:
MBA Data Science and Data Analytics admissions are granted based on central level examinations. The examination question paper is divided into various sections with the reading passage section; aptitude-based reasoning sections, mathematical-based questions, and even language evaluation.
Almost all the entrance exams of 3 Sections :
Some of the exams also have a separate section to test your current affairs knowledge. The number of questions in all the exams is different.
Compiled here is a list of the top MBA Data Science and Data Analytics colleges in India offering the course:
|Sl.No||Top colleges||Average Fees (INR)|
|1||IIM Calcutta||20 Lakhs|
|2||IIT Kharagpur||10 Lakhs|
|3||IIT Dhanbad||7 Lakhs|
|4||Great Lakes, Chennai||20 Lakhs|
|5||KIIT University, Bhubaneswar||15 Lakhs|
|6||IIM Kashipur||20 Lakhs|
|7||IMT Ghaziabad||15 Lakhs|
|8||Nirma University||10 Lakhs|
|10||LIBA, Chennai||10 Lakhs|
There are more than 6,000 business schools for MBA Data Science and Data Analytics in India. The fee structure varies from one institution to another. MBA Data Science and Data Analytics is a 2-year course. Average MBA Data Science and Data Analytics fees ranges from INR 4 - 10 Lakhs.
|Colleges||Fee Structure (INR)|
|IIM, Calcutta||4 - 5 LPA|
|VGSOM IIT, Kharagpur||3 LPA|
|IIT, Dhanbad||3.57 Lakhs|
MBA Data Science and Data Analytics course subjects may vary from one college to another, but some common subjects can be taught during the entire 2-year duration. Here are some of the important subjects present in the MBA in Data Science and Data Analytics academic program:
MBA Data Science and Data Analytics course is one of India's most sought-after courses offering future career and job opportunities. The degree holders can get employment opportunities in vast sectors, such as Banking Sectors, IT companies, Insurance Companies, Data Management Services, MNCs, Insurance Departments, Media Houses, etc. Let's get to know "why to choose MBA Data Science and Data Analytics?" with a few simple questions.
MBA Data Science and Data Analytics trains students for converting semi-structured, big data structured or unstructured data into useful insights that help in operational and strategic decision-making processes across various sectors, including banking, financial services, e-commerce, telecom, retail, etc.
It is a 2-year post-graduate program where students acquire experience and knowledge regarding various analytical tools. An MBA Data Science and Data Analytics course focuses on data management and theoretical and practical aspects. Students are also allowed to learn the practical aspects of analyzing a large data set.
Some of the responsibilities of data science managers are listed below.
MBA Data Science and Data Analytics can work in a wide range of industries and have a rewarding career.
Versatile Job Scope: MBA graduates can work in marketing to use the data and understand advertising and consumer behaviour.
Growth: One can work in a management consulting firm or a financial service firm where one can utilize the skills to analyze the risks and then incorporate the uncertainty to identify profitable customers and determine specific strategies.
It is an excellent course that equips the student with fluent practical and theoretical knowledge of data analytics. For successful businesses to lead in Data Analytics, the leader should understand the processes of data analytics. Managers who know how to analyze big data are more valuable leaders. In this course, graduates should develop their data analytic skills, which will be too many business tasks in the future.
Technologies to Learn: To shine in MBA Data Science and Data Analytics exams, students must learn many new technologies like Cloud, Data Structure, Database Management, Data Science, IoT (Internet of Things), AI(Artificial Intelligence), and so on. Be updated in new technologies.
Month-Wise Plan Division: Divide the syllabus topic-wise and split them and assign them month-wise. Accordingly, one can complete them in a given time frame.
Understanding Academic Courses: Students can find many study materials, pdf, ppt online, and videos that support them to understand better in detail about their academic courses like Data mining, Data analysis, Data warehousing, etc. Also, try to learn some new frameworks like Hadoop, ApacheSpark, Data torrent, etc., that will give students a better understanding of Data Analytics courses.
Exam Preparation: Keep learning daily without holding back the work and read a lot of published papers, which will be more curious to read. Try to write about creative ideas and publish articles about them.
MBA Data Science and Data Analytics students may also appear for various competitive exams for different civil service jobs through Union Public Service Commission (UPSC), state PSCs and Staff Selection Commission (SSC), and many other government competitive exams. Appearing for NTA-UGC NET-JRF is also one option for students to gain employment eligibility as Assistant Professors in various colleges and universities. The graduates can pursue the following errors like:
Salaries depend on an aspirant's experience in the Data Science and Data Analytics Industry and the position for which he/she is applying. It is one of the highest-paying courses in this field. Individuals starting their careers in this field can expect salary packages varying from INR 4 - 20 LPA. After gaining a considerable amount of experience, the salaries offered are higher.
Read More: MBA Data Science and Data Analytics Salary
MBA students have many opportunities in the career job market. When a graduate has completed an MBA in Data Science and Data Analytics course, their demand in top companies is very high. When MBA Data Science and Data Analytics graduates experience their career value, they can reward them with leading positions in companies. Graduates under this course get placed in many sections like finance, education, banking, airports, transport, hospitality, government, healthcare, and much more. Job roles for MBA in Data Science and Data Analytics in India:
There are various skill sets to go under an aspirant's resume, making them better data analysts. Learning new technologies like big data, Hadoop, cloud courses, and DBMS is significant. There are various skills required to pursue an MBA in Data Science and Data Analytics: