MBA in Analytical & Data Science - 2023-24

MBA in Analytical and Data Science is a 2-year post-graduate degree focusing on understanding the basic knowledge of data sciences and data analytics. Further, there is a lot of job scope in the data sciences and data analytics field. In addition, the area of data analytics and business analytics offers excellent potential for growth as you not only acquire fundamental skills such as communication but also provide opportunities to develop various other skills that can lead to multiple career paths by acquiring analytical competencies. It trains you for business, helping you understand and manage more significant technical roles in Data Sciences and Analytics projects.

Further, this program aims to develop management professionals and provides skills in the field of data sciences and data analytics teams. Also, the course curriculum prepares students to work in various areas, including neural networking, forecasting methods, and forecasting methods applied to multiple business domains. As a result, an MBA in Analytical and Data Sciences helps shape a person’s approach to managing various activities.

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ShikshaGurus is an excellent platform for college students to compare information about different online and distance-learning courses in India. The website also only lists universities that have UGC approval. Additionally, we have highly skilled professionals and experts who can teach you specialized courses.

Further, you can compare MBA in Analytical and Data Science with similar courses at other universities. Also, this will help you choose the best university for you from the options provided.

Various factors, such as approvals, recognitions and grades, define how good the university is. ShikshaGurus will help you not only shortlist the best universities but also compare them with others keeping important factors in mind. 



After completing an MBA in analytical and data science, there are several career options you can explore. Here are the top 7 career options:

Business Analyst

A Business Analyst studies business processes and data to find areas that can be improved and optimized.

Data Scientist

A Data Scientist applies statistical analysis, machine learning, and other analytical techniques to extract insights and make predictions from large data sets. These insights can be used to inform business decisions and improve organizational performance.

Business Intelligence Analyst

A Business Intelligence Analyst creates reports, dashboards, and other data visualizations to assist businesses in making informed decisions. These tools help businesses understand their data and identify trends.

Marketing Analyst

A Marketing Analyst analyzes customer data and market trends to create marketing strategies and campaigns.

Operations Analyst

An Operations Analyst examines operational data to identify areas for improvement and optimize business processes.

Risk Management Analyst

A Risk Management Analyst evaluates data to identify potential risks and creates strategies to minimize or mitigate them.

Financial Analyst

A Financial Analyst scrutinizes financial data to offer insights into investment opportunities, budgeting, and forecasting.

MBA pass outs in analytical and data science have a wide range of career options. These are just a few examples of the many opportunities available to them. Remaining competitive in the job market requires staying up-to-date with the latest tools, techniques, and technologies. The field of data science is rapidly growing, making it essential to do so.

Additionally, if you wish to check other MBA programs please click here.

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Frequently Asked Questions (FAQs) - MBA in Analytical & Data Science

For a regular MBA in Data Analyst course, the fee ranges from 9 lacs to 18 lacs depending on the University. However, for a Distance MBA or an Online MBA the fees is around 1.5 lacs to 3.5 lacs.

Some of the Data Analyst courses are:

  • MBA in Data Analytics
  • Google Data Analytics Professional Certificate
  • Excel Skills for Data Analytics and Visualization Specialization
  • Data Analyst in R
  • Business and Data Analysis with SQL

among others.

Yes! Data Science is an excellent career choice which will help you in getting a very satisfying and lucrative job offers. Further, Data Science is amongst the highest paying jobs around the world. Moreover, as of today, there is a dearth of quality Data Science professionals.

Its difficult to predict salary brackets for MBA Data Science professionals since it depends on various factors such as University, skill-set of the professional, Company that hires you among other factors. However, an generic estimate of salary structures for professionals at different career levels is mentioned below –

Experience Salary Range (in INR lakhs per annum)
Freshers (0 years) 8 – 15 lakhs
3 years exp 12 – 25 lakhs
5 years exp 20 – 35 lakhs
7 years exp 25 – 45 lakhs
10 years exp 30 – 50+ lakhs

Yes! MBA in data science is moderately tough. However, if you have strong analytical skills and most importantly an interest in data science, the course becomes easier.

MBA in Analytics and Data Science is a PG course that covers the traditional MBA concepts with advanced concepts such as Business Analytics, Data Science, and Data Analytics. Further, some of the main topics covered are –

  • Business Administration
  • Data Analytics and Modeling
  • Machine Learning and Artificial Intelligence
  • Big Data Technologies
  • Business Intelligence
  • Ethics and Data Governance

The entrance for top B-Schools is either through CAT or through the entrance exam the University conducts. However, Distance Learning and Top Online Universities accept students based on their graduation percentage.

After completing an MBA in Data Science or Business Analytics there are many job roles you can work on. Further, some of these profiles are mentioned below –

  • Data Scientist
  • Business Analytics Manager
  • Data Analytics Consultant
  • Product Manager
  • Marketing Analytics Manager
  • Supply Chain Analytics Manager
  • Customer Analytics Manager
  • Chief Data Officer
  • Risk Analytics Manager
  • Pricing Analyst
  • Financial Analyst
  • HR Analytics Manager
  • Sales Analytics Manager
  • Operations Analyst




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