MBA Data Analytics is a two-year post-graduation course which is a study of big data, data mining, database management, data science, and data warehousing. The course has dynamic job opportunities in different sectors like IT sectors, marketing, and sale, product-based industries, airport and banking sectors, and much more.

MBA in Data Analytics Course Details

Degree Masters
Full Form Master of Business Administration in Data Analytics
Duration Course Duration of Master of Business Administration [MBA] (Data Analytics) is 2 Years.
Age No age limit
Minimum Percentage 45%–50% academic aggregate from an acknowledged college or university
Average Fees Incurred INR 3 - 27 Lakhs
Average Salary Offered INR 5 LPA - INR 40 LPA [Source: PayScale]
Employment Roles Data Analyst, Business Analyst, Data Architect, Data Developer, Data Scientist, Data Deployment Strategist.

About MBA in Data Analytics Course

As per Investopedia, data analytics is defined as "Data analytics is the science of analysing raw data to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. " MBA Data Analytics is the study of data science which includes collection of information, identifying the data from the information, organizing the data, and determining the data pattern. MBA Data Analytics subjects includes data statistics, finding data patterns, quantitative analysis, client relationships management, and database management. MBA in Data Analytics scope is huge in various sectors like finance, education, airports, transports, hospitality, government, healthcare, and much more. Listed below are the latest tools and technologies used by the data analysts:

  • Tableau
  • SAS
  • Apache Spark
  • Excel
  • RapidMiner
  • Splunk

Table of Contents 

Eligibility Criteria for MBA in Data Analytics 

Eligibility criteria for MBA Data Analytics is a bachelor's degree (10+2+3) in any discipline. Students must have obtained a minimum of 45%–50% academic aggregate from an acknowledged college or university. Top institutions require students to have a minimum of 80-90 cut-off in any one of the national-level exams.

How to Get Admission for MBA in Data Analytics?

Admission into MBA Data Analytics is based on the scores of national-level entrance exams or state-level exams or through merit quota. Some private colleges and deemed universities perform their counselling process by conducting their university-level entrance exams. 

Apply for The Course

One can apply online or offline and submit the required documents. Make sure that all mandatory fields are filled and submit the application. Complete the payment and download the first copy of the application for future references. 

Selection Criteria

Once the students receive the standard entrance exam cut-off scores, they will be called for a counselling session. Final seat allotments based on the total weightage secured in the entrance exam, personal interview/group discussion, and academic performance. If graduates have any work experience that may enhance their scores.

There are many state-level, national-level, and international-level entrance exams for MBA courses. Few standard entrance exams are listed below:

A Quick Glance at the MBA in Data Analytics Course Entrance Exams

Many colleges' admission criteria are based on cut-off scores, and aspirants can appear for the entrance exams to walk into the best colleges they desire. Listed below is standard entrance exam pattern:

  • Entrance exams duration will be from 2.30hrs to 3hrs
  • The exam may be online or offline
  • Questions will be MCQ or Non-MCQ
  • The exam contains three sections like quantitative ability, data interpretation & logical reasoning and verbal ability & reading comprehension 

Top 10 MBA in Data Analytics Course Colleges in India

 Top 10 MBA in Data Analytics Colleges as per NIRF ranking are listed below.

NIRF Ranking Colleges
3 IIM Calcutta
5 IIT Kharagpur
12 IIT Dhanbad
23 Great Lakes Institute of Management Chennai
32 Kalinga Institute of Industrial Technology
33 IIM Kashipur
37 IMT Ghaziabad
44 Nirma University
49 LPU
50 Loyola Institute of Business Administration

Fee Structure for MBA in Data Analytics

There are more than 6,000 business schools for MBA Data Analytics in India. The fee structure varies from one institution to another. MBA Data Analytics is a 2-year course. Average MBA Data Analytics fee structure is INR 3 LPA to INR 27 LPA. Here are few college fees structures for 2 years are listed below:

College Total Fees
Indian Institute of Management, IIM, Calcutta INR 23 Lakhs
VGSOM IIT, Kharagpur INR 24 Lakhs
Indian Institute of Technology, IIT, Dhanbad INR 3.57 Lakhs
Great Lakes Institute of Management, Chennai INR 16 Lakhs
Kalinga Institute of Industrial Technology INR 10.2 Lakhs

Syllabus and Subjects for MBA in Data Analytics

MBA Data Analytics course has four semesters. The syllabus and subjects in MBA Data Analytics are split into mains, elective, quiz, viva, seminar, research, and projects. The syllabus covers economics, statistics, data analytics, business analytics, HR analytics, data programming, etc. Important subjects are listed below:

  • Applied Statistics for Decision Making
  • Financial Analysis and Reporting
  • Organizational Behaviour
  • Accounting for Managers
  • Research Methodology
  • Applied Operations Research
  • Foundation Course in Business Analytics
  • Spreadsheet Modelling
  • Project Management
  • Data Cleaning, Normalization, and Data Mining

Read More about MBA Data Analytics Syllabus and Subjects

Why Choose MBA in Data Analytics?

MBA Data Analytics is a specialization course focusing on data analysis, data handling, data cleaning, finding patterns from data, etc. Let's get to know more about "why choose MBA Data Analytics?" with three simple questions. 

What is MBA in Data Analytics All About?

MBA Data Analytics is a two yeat post-graduate course that deals with finding data, creating data, identifying patterns, processing data, manipulating data, and reporting the results. In the 21st century, the world is entirely dependent upon data. A firm cannot run without a database. The central part of MBA Data Analytics is data management, coordination, and human resources. MBA Data Analytics graduate relies on data handling, data warehousing, service providing, maintaining a good relationship with the clients, and fulfilling their requirements. They also incorporate interactive relationships with organizations. All together, MBA Data Analytics is all about organizing the data, handling and storing the data with all the requirements without any errors.

What Does an MBA in Data Analyst Do?

An Data Analyst collects the raw data from information, analyses them, and processes the raw data. They serve the specified domain and give them the required reports on time. There are many methods, techniques, strategies to collect, analyse, and process the data. Data Analysts faces challenging management tasks and critical resource situations. MBA Data Analytics careers responsibilities are listed below:

Identifying Data: the process of knowing and understanding the data and its properties to choose relevant algorithms to build the model. 

Assembling Data: Collecting and gathering them together to form patterns over them. 

Interpreting Data: to implement the data, review, and conclude the data.

Data Analysing: examine and arrange the data in the specific data set.

Reporting the Results: Data manager summarizes about the patterns in data sets.

Reasons Why MBA in Data Analytics Can Fetch Students a Rewarding Career?

In today's digital world, firms are entirely dependent on data. Nowadays, people with smartphones keep updating tons of data every second. There are plenty of options available for MBA Data Analytics graduates. 
Career Growth: In today's competitive career market, firms cannot run without the data management team. MBA Data Analytics graduates 
Demand: People in this sector are in high order because data analytics controls the organizations' confidential data and reports as per the organization's requirements within a limited time frame. 
Research: Organizations expect ongoing research work to be done in this sector.
Higher Expectations: Students with higher-level data knowledge are needed in this department.
Here are some of the vital work process of MBA Data Analyst:

  • Figuring the data models
  • Analyze large datasets
  • Write comprehensive reports
  • Reporting packages
  • Strong verbal and written skills
  • Communication skills
  • Analytical mind for problem-solving
  • Attention to the detail

Read More about MBA Data Analytics Jobs

Preparation Tips for MBA in Data Analytics

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 analyse 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 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. 
  • Get the Syllabus: Make research on the syllabus of the examination you are preparing for. Make a list of topics and work on strengths and weaknesses in that topic. 
  • Make Preparation Plan: Get the exam pattern and calculate your time limit. Make a structure of the examination. Prepare a timetable accordingly.
  • 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, videos that support them 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. Read a lot of Published papers, which will be more curious to read. Try to write about creative ideas and publish papers about them.

Scope For Higher Education

MBA Data Analytics has higher studies options and plenty of certification courses. Students may do their second MBA (any other specialization) or Executive MBA. Students can pursue PhD in Management. Many organizations have their own Research and Development team where professionals can work and pursue their higher studies by researching Data Analytics and healthy development. List of course, aspirants can do after MBA Data Analytics:

  • PhD 
  • M.Tech in Data Analytics
  • Research in Data Analytics
  • Project Management Professional
  •  NSE'sNSE's Certification in Financial Markets
  •  ISB Certificate Programme in Business Analytics
  •  Chartered Financial Analyst
  •  Doctor of Business
  •  Financial Risk Manager Exam
  •  Personality Development Course
  •  SAP Course

Salary of an MBA in Data Analyst

Data Analytics MBA salary average is INR 5 LPA to INR 40 LPA and it changes according to one's skills and experience.
Read More about MBA Data Analytics Salary

Career Options After MBA in Data Analytics

MBA students have many opportunities in the career job market. When a graduate has completed an MBA Data Analytics course, their demand in top companies is very high. When MBA 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, transports, hospitality, government, healthcare, and much more.  Job roles for MBA in Data Analytics India:

  • Human Resource
  • Data Analyst
  • Client Service Executive
  • Project Management Director
  • Data Scientist
  • Accountant
  • System Analyst
  • Research Analyst
  • Technical Analyst
  • Business Analyst

Here the list of top recruiting companies:

S. No Divisions Companies
1 Information Technology Sector Accenture, HPE, TCS, CTS, Wipro, etc
2 Hotels ITC Grand chola, Taj, Westin, Radisson, Hyatt, etc
3 Manufacturing Industry IBM, L & T, Apple, BCG, J.P Morgan Chase & Co etc
4 Product-based Companies Amazon, Flipkart, Myntra, eBay, Snapdeal, etc
5 Other Job Options Airport, Government jobs, Transport sectors

Skills That Make Students the Best MBA in Data Analytics

Skill sets to go under aspirants resume, which makes them a better data analyst. Learning new technologies like big data, Hadoop, cloud course, DBMS is very important.  Here listed are skills sets one needs to work on to start their career as data analyst:

  • Excellent communication skill
  • Fair thought process & leadership qualities
  • Time management skills
  • Practical understanding and behaviour
  • Client relationship management
  • An integrated account of business
  • Decision making and problem-solving
  • Critical thinking and collaboration
  • Computer science (software/hardware)

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