MBA in Data Analytics

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Oct 12, 2023 16:37PM IST

MBA in Data Analytics Overview

MBA in Data Analytics is a two-year postgraduate MBA programme that provides training and knowledge of critical managerial abilities needed to streamline the data process. The MBA in Data Analytics programme prepares students for positions in consumer goods and services functions, as well as a grasp of the industry's special difficulties, enabling a speedier ascent up the career ladder. Students will also gain a thorough understanding of data science and data analytics principles through the MBA in Data Analytics curriculum. The programme includes themes such as business communication, business skills development, applied operations research, and others.

Admission to this MBA programme, like any other, is based on the candidates' previous academic record and performance, as well as qualifying scores from university-accepted entrance tests such as the CAT, XAT, MAT, NMAT, SNAP, and others. IIMs, IITs, Great Lakes in Chennai, Madras University, Narsee Monjee Institute of Management Studies, and others are among the top MBA in Data Analytics colleges in India. Candidates often spend anything between INR 3 lakhs and INR 27 lakhs for the programme.

Graduates can work as Data Analysts, Business Analysts, Information Architects, Product Managers, Data Scientists, Data Engineers, Data Analytics Managers, Research Analysts, System Analysts, and other professionals. Graduates can expect to start with an annual salary of INR 5-15 lakhs, which will definitely rise and potentially reach INR 40 lakhs as their experience grows. Here is everything to know more about the MBA in Data Analytics programme and what it comprises.

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MBA in Data Analytics Highlights

Here is a quick rundown of some of the most important features and facts about MBA in Data Analytics courses.

MBA in Data Analytics Highlights

Course MBA in Data Analytics 
Full Form Master of Business Administration in Data Analytics
Degree LevelPostgraduate/Master’s
  • Full Time: 2 years 
  • Part-Time: 2-3 years 
  • Distance Learning: 2 years 
  • Online: 2 years 
Exam Type Semester-based 
MBA in Data Analytics Eligibility
  • Completed graduation in any discipline from a recognized university with 50% or above marks.
  • Qualify for an entrance exam (like CAT) with an excellent score to get admission.
MBA in Data Analytics Selection ProcessEntrance test + Merit-based 
Popular MBA in Data Analytics Entrance Exams CAT, MAT, XAT, TANCET, UPSEE, CMAT, ATMA, SNAP, TISSNET, NMAT by GMAC, GMAT, etc.
Top MBA in Data Analytics Colleges
  • IIT Kharagpur
  • IIT Dhanbad
  • IIM Calcutta
  • IIM Kashipur 
  • NMIMS Mumbai
  • Symbiosis Centre for Information Technology
  • S. P. Jain Institute of Management and Research
Average MBA in Data Analytics FeesINR 5 to 25 lakhs 
Top MBA in Data Analytics Jobs
  • Data Analyst
  • Information Architect
  • Product Manager
  • Data Scientist
  • Data Engineering
  • Business Analyst
  • Data Analytics Manager
  • Senior Data Scientist
  • Analytics Manager
  • Research Analyst
  • System Analyst
Average MBA in Data Analytics Salary INR 6 LPA to INR 31 LPA
Top MBA in Data Analytics Recruiters 
  • Wipro Technologies
  • HCL Technologies
  • Mahindra Satyam
  • Deloitte
  • PayPal
  • Dell
  • Infosys
  • Cognizant Technology Solutions (CTS)
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Why Study an MBA in Data Analytics Course?

Data Analytics has become an essential tool for business in this age where relying on trends and patterns has become a necessity for taking major business decisions. Researching trends is the most effective way to succeed in this digital age that is driving the business world and transforming it into a data-centric industry. From multinational corporations (MNCs) to start-ups, everyone relies on data to develop better strategies for their business's future.

That being said, being an individual in this data-driven business world can prove to be highly beneficial in terms of career opportunities. Thus, pursuing an MBA in Data Analytics is an ideal choice for individuals who are interested in building a career in data research and Big Data Analytics. Here are some compelling reasons to study and pursue an MBA in Data Analytics.

  • Data Analytics is Important for Top Organisations: The flood of data is reshaping enterprises. Companies of all sizes are now expecting data-driven insight to inform their business decisions. Data specialists have a significant impact on business strategies and marketing approaches.
  • Job Prospects are Increasing: The Science and Technology Committee produced this research, noting that 58,000 jobs might be generated and £216 billion contributed to the global economy (2.3% of GDP) by 2022. The need for data specialists is increasing while the supply remains limited, generating excellent work prospects for those in this industry. Today, it is nearly hard to find a brand that does not have a social media presence; eventually, every firm will require data analytics people.
  • Helps in Informed and Improved Decision Making: Companies are better positioned to produce accurate forecasts when big data is combined with artificial intelligence, machine learning, and data mining. Predictive analytics, for example, can forecast what might happen in reaction to changes in the business, whereas prescriptive analytics might recommend how the organization should respond to these changes. Furthermore, organizations can utilize data analytics tools to measure the success of changes and visualize the results, allowing decision-makers to select whether to implement the changes across the organization.
  • More Successful Marketing: What distinguishes firms is the distinct strategy they take to marketing their products. Companies can use data analytics to pinpoint exactly what their customers want. Data allows organizations to do in-depth analyses of customer trends, which they can then use to produce profitable, focused, and targeted marketing.
  • Better and More Personalised Customer Experience: Customers expect firms to know them, form relevant conversations, and give a seamless experience across all touchpoints after giving their data. Only modern analytics makes it feasible to respond in real-time and make the customer feel appreciated. Data enables interactions to be adjusted to the customer's personality, assisting in the understanding of their sentiments and delivering personalization in a multi-channel service environment.
  • Streamline Operations: MBA in Data Analytics graduates can help businesses uncover potential methods to streamline procedures and increase revenue. It aids in recognizing possible problems and preventing them from occurring. This enables businesses to determine which operations delivered the best overall results under various conditions.
  • Become Rock Stars of the Digital World: Since the job of a data analyst is unlike any other in the business world. As a result, the status of a data analyst is comparable to that of a rock star. Competent training in data analytics will transform you into an organizational magician, and you will be spinning insights by toying with large data. Thus, it is all about living up to and remaining true to the expectations that others have placed on you. Data does not lie, but it takes top data analysts' abilities to uncover the harsh facts and set a business on the royal route to success.
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Types of MBA in Data Analytics Courses

MBA programmes are often meant to improve your workplace experience by providing advanced topic knowledge and skill development. The type of MBA in Data Analytics programme you eventually choose is determined by your job goals, the amount of experience you have, and the amount of time you have to devote to your degree. Let us go over the many MBA degrees available to you:

  • Full-Time MBA in Data Analytics: Full-time MBA programmes are divided into two categories: one-year and two-year programmes. Whatever path you pick, you will be expected to attend classes full-time and not work while obtaining your degree. A two-year MBA in Data Analytics programme gives a more thorough education that is ideal if you want to expand your business knowledge, choose an area to specialise in, and potentially complete an internship near the end of your studies. A one-year MBA in Data Analytics programme, on the other hand, provides an accelerated timeline that allows you to graduate in less time. They are typically suitable for those with greater professional experience, a bachelor's degree in business, and the completion of specified prerequisite courses.
  • Part-Time MBA in Data Analytics: part-time MBA is a traditional MBA degree that does not necessitate taking time away from work. It is typically a more flexible curriculum intended for professionals with other responsibilities who want to further their business knowledge. Part-time MBAs are classified into two types: lockstep and self-paced. Lockstep is enrolling with a specific group of students (a cohort), whereas self-paced entails completing classes on a more flexible schedule.
  • Online MBA in Data Analytics: An online MBA, like a part-time MBA, provides additional flexibility. There is no need to relocate, and you may finish classes on your computer. Both of these criteria frequently imply that you can continue working while pursuing your degree. Furthermore, you do not have to forego engagement with an online MBA. Many programmes are designed to promote virtual networking, peer-to-peer involvement, and other activities. Online MBAs can also be less expensive than on-campus MBAs.
  • Executive MBA in Data Analytics: An Executive MBA (EMBA) programme is designed for professionals with 10 to 15 years of experience. They are intended to assist you to advance your professional career, often to the executive level, by expanding on your existing knowledge. EMBAs also allow you to work while pursuing your degree. EMBA programmes typically operate on part-time schedules, such as weekend classes, and allow you to complete your degree faster than regular part-time MBA programmes. Unlike full-time MBA students, who have summers off, you will most likely continue your education all year.
  • Global MBA in Data Analytics: Business is becoming increasingly global. Enrolling in a global MBA programme can provide you with more networking possibilities and opportunities to discuss and exchange knowledge with people all over the world, which can help you create professional relationships and broaden your potential reach as a global business professional.
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MBA in Data Analytics Syllabus

Semester-wise break up of the MBA in Data Analytics Syllabus is provided below.

MBA in Data Analytics Semester 1 SyllabusMBA in Data Analytics Semester 2 SyllabusMBA in Data Analytics Semester 3 SyllabusMBA in Data Analytics Semester 4 Syllabus
Accounting for ManagersApplied Operations ResearchApplied Business AnalyticsEthical and Legal Aspects of Analytics
Applied Statistics for Decision MakingData Cleaning, Normalization, and Data MiningFoundation Course in Descriptive AnalysisHealthcare Analytics
Financial Analysis and ReportingEconometricsFoundation Course on Predictive AnalysisHR Analytics
Macroeconomics in the Global EconomyFoundation course in Business AnalyticsSAP FICOProject Work
Organizational BehaviorProject ManagementSAP HCMR Programming
Research MethodologySpreadsheet ModelingStochastic ModelingSocial and Web Analytics
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Main Subjects Under MBA in Data Analytics

Following are the subjects primarily studied in an MBA in Data Analytics course.

Big Data
  • NoSQL Databases
  • Hive and Querying
  • Integration and Testing
  • Object-Oriented Design
  • ETL and Data Ingestion 
  • Testing and Version Control
  • SDLC and Agile Methodology
  • Basics and Advanced Concepts of Programming
Predictive Analytics
  • Model Development
  • Model Validation
  • Demo using Excel & SPSS
  • MLE Estimation of Parameters
  • Logistic Model Interpretation
  • Analytics in Decision Making
  • Classification and Regression Tree (CART)
  • CHI-Square Automatic Interaction Detectors (CHAID)
  • Web Scraping in Python
  • Data Science Using Python
  • Using Databases in Python
  • Python Dictionaries and Sets
  • Python Regular Expressions
  • Python Multithreaded Programming
  • Loops in Python: For Loop, While Loop and Nested Loops
  • String Manipulation: Basic Operations, Slicing, Functions and Methods
Marketing Analytics
  • Recommendation Engine and Retail Analytics
  • What Consumer Wants
  • Demand Forecasting and Pricing
  • RFM and Market Basket Analysis
  • Text Mining and Sentiment Analytics
  • Segmentation Targeting and Positioning
  • Customer Churn and Customer Lifetime Value
  • Marketing Mix Models and Advertising Models
Cloud Computing
  • Virtualisation concepts
  • Cloud fundamentals
  • Private cloud environment
  • Public cloud environment
  • Auto-provisioning
  • Cloud as PaaS, SaaS
  • Ethics and standard of cloud
  • Cloud computing securitisation
Information Security in Business
  • Information security governance
  • Information risk management
  • Information security program development and management
  • Information security incident management
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MBA in Data Analytics Eligibility Criteria

Enrollment or admission into an MBA in Data Analytics programme in India has varying prerequisites based on the eligibility criteria of various universities. Individuals with a bachelor's degree who wish to pursue their higher education can enrol in MBA in Data Analytics programmes at a variety of management schools. The generic eligibility criteria that aspirants have to fulfil are mentioned below:

  • MBA in Data Analytics requires a bachelor's degree in a relevant field of study with some mandatory subjects too. This course is designed for students with a bachelor's degree in business administration who want to pursue an MBA in Data Analytics.
  • To be admitted to the MBA Data Analytics degree programme, candidates must pass any one of the entrance exams like CAT, XAT, MAT, etc, which is accepted by the chosen university.
  • Candidates must also have to pursue and pass personal interviews and group discussions to prove their candidature for an MBA in Data Analytics programme.
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Entrance Exams for MBA in Data Analytics

All the colleges providing admission into the MBA in Data Analytics will sort candidates on the basis of their scores in the entrance exam. There are many entrance tests conducted for MBA/ PGDM Admission in the country. Applicants can check out the type of colleges that accept the scores of these entrance tests provided below.

Name of the Entrance ExamColleges Accepting Scores
XAT (Xavier Aptitude Test)XLRI and other associated B schools
SNAP (Symbiosis National Aptitude Test)Symbiosis International University & its associates
NMAT (NMIMS Management Aptitude Test)NMIMS all campuses
MAT (Management Aptitude Test)Institutes under AIMA
CMAT (Common Management Admission Test)B-schools approved by AICTE
CAT (Common Admission Test)IIMs and most of the top league B-schools
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Preparation Tips for MBA in Data Analytics Entrance Exams

The majority of the questions on the MBA in Data Analytics entrance exams are of the MCQ type, therefore applicants must have a solid understanding of the exam pattern in order to perform effectively. Additionally, applicants need to acquire some innovative strategies in order to answer the questions accurately within the allotted time. On incorrect responses, there are occasionally negative markings. As a result, the applicant must take care to consider this fact and should only attempt to respond to a question when they are certain of the answer.

Before taking the entrance exam, applicants should solve sample question sheets, mock test papers, or previous year's question papers. Taking at least 25 to 30 practise examinations will help the applicant feel more confident.
Success on the MBA admission test depends on time management. The time allotted for each component must be divided among aspirants, who must strive to finish the full syllabus in the allotted time while also setting aside time for a speedy revision of challenging topics.
For better preparation, candidates may also enroll in online tutoring sessions or read the top reference books for entrance exams.

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How to Get Admission to MBA in Data Analytics in India?

Many students look for the best MBA in Data Analytics admission process to advance their MBA application. This degree provides students with a competitive advantage in their careers. MBA education is essential for practically all employers since it allows them to learn about running their businesses. India is on a path of continual advancement, and with it, there will be great growth in the future for MBA in Data Analytics specialists. As a result, students should be aware that top-tier business schools in India employ a tough screening process to choose the best applicants. A basic admission procedure is provided below to assist students interested in pursuing an MBA in Data Analytics degree in India:

Step 1: Register and Apply for MBA Entrance Exams

MBA in Data Analytics admission at top MBA schools in India begins in the first week of August/September and finishes in the last week of November. During the registration window, candidates seeking admission to top MBA programmes should register and apply for the relevant MBA entrance exams, such as CAT/XAT/NMAT/MAT/SNAP/GMAT. The registration period for most national-level MBA entrance exams, such as the CAT and XAT, closes in September and November, respectively.

Step 2: Take the MBA Entrance Exams and Wait for the Results

Those who want to study a management course PGDM/MBA programme specialized in Data Analytics from top MBA institutions in India must take the CAT, XAT, NMAT, or any appropriate entrance test accepted by their target colleges and business schools offering MBA in Data Analytics.

Step 3: The Selection Procedure

Following the announcement of MBA exam results in January, most top business schools will shortlist qualified candidates for the final admission round based on exam scores, academics, diversity, work experience, and other parameters as determined by the respective B-school admission policy and weightage. The process is completed independently by each business school or institution.

Step 4: Complete the Final Admissions Round - GD-PI-WAT

All candidates who have been shortlisted will be asked to take part in a Group Discussion (GD)Written Ability Test (WAT), and Personal Interview (PI). Some B-schools also conduct GD and Extempore before the PI round, whereas others do GD-PI. Psychometric examinations are also given to students at several colleges. The final merit list will be created, and admission offers for the MBA FinTech programme will be issued based on their performance in the final selection round, the weightage given to entrance scores, academic profile and diversity, work experience, and gender diversity.

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Popular MBA in Data Analytics Colleges in India

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What is the MBA in Data Analytics Course Fee?

The cost of an MBA in Data Analytics course in India is determined by a variety of criteria, including the type of university (whether public or private), the duration of the programme, location, course content, rating, reputation/goodwill, and more. The following graph represents the estimated yearly average fees for MBA in Data Analytics programmes at some of India's most prestigious institutes: 

Name of the College/Institute Average Course Fees
Indian Institute of Information Technology (IIT)INR 5 lakhs 
Indian Institute of Information Technology (IIT)INR 5 lakhs 
Indian Institute of Management (IIM)INR 20 lakhs 
Indian Institute of Management (IIM)INR 20 lakhs 
Narsee Monjee Institute of Management StudiesINR 10-15 lakhs 
Narsee Monjee Institute of Management StudiesINR 10-15 lakhs 
Symbiosis Centre for Information Technology INR 13.8-15 lakhs 
Indian Institute of Information Technology and Management – KeralaINR 2-5 lakhs 
Amity University INR 12-15 lakhs 
S. P. Jain Institute of Management and ResearchINR 16-20 lakhs 
JECRC UniversityINR 4 lakhs 
Centurion University of Technology and ManagementINR 1-3 lakhs 
Subharti University INR 2-4 lakhs 
IILM UniversityINR 8-10 lakhs 
Goa Institute of ManagementINR 11-13 lakhs 
SRM School of ManagementINR 7.8 lakhs 
SRM School of ManagementINR 3.6-5 lakhs 
Jain UniversityINR 10-15 lakhs 
Vishwakarma UniversityINR 5 lakhs 
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Study MBA in Data Analytics Abroad

With the incorporation of Data Analytics in the business world, numerous career opportunities have sprung up in the past couple of years. So, getting an MBA in Data Analytics abroad is worth considering if you are looking for a successful career in the field. The MBA in Data Analytics degree will help international students achieve professional status and expand their career prospects by advancing understanding, knowledge, and experience.

As per a report by the Bureau of Labor Statistics, it is estimated that about 96,500 new MBA in Data Analytics jobs will be created in the next 10 years, which is an average of 12% of growth in the industry. Lucrative job opportunities in the field are not the only reason one should go for MBA in Data Analytics abroad, but there are many other convincing reasons too which have been mentioned below.

  • Excellent Networking: Pursuing MBA in Data Analytics will allow candidates to build a strong network of professionals around the world. Creating an excellent network will allow the graduates to seek better career opportunities and give them a chance to share their knowledge and skills which will be useful for their professional career in the long term.
  • Diverse Job Opportunities: Studying MBA in Data Analytics degree from one of the top colleges in the world will help students get the best jobs in renowned organizations. If a student decides to come back to India after being graduated with MBA in Data Analytics abroad, then he can expect a plethora of high-paying career opportunities.
  • Up-to-date with the Latest Trends: The top MBA in Data Analytics colleges in developed nations like the US or UK provide the best quality education to candidates and prepare them to stay updated with the latest trends in the market. By utilizing this knowledge in their jobs, they will help their companies serve their customers better.
  • No Shortage of Jobs: An MBA in Data Analytics degree from a top college abroad will make sure that candidates will always be in demand and never feel a shortage of work. In times of recession or any other circumstance, companies will face challenges and they will need qualified Data Analysts to get an edge over their competitors.
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Popular MBA in Data Analytics Colleges Abroad

The following are some world-class universities where students and aspirants can pursue MBA in Data Analytics or relatable degree programmes abroad:

Name of the University/CollegeLocation 
University of Rochester – Georgen Institute for Data ScienceUnited States 
University of Maryland University CollegeUnited States 
Carnegie Mellon UniversityUnited States 
University of WashingtonUnited States 
UCL School of ManagementUnited Kingdom 
Arden UniversityUnited Kingdom 
London School of Business & FinanceUnited Kingdom 
University of BedfordshireUnited Kingdom 
Anglia Ruskin UniversityUnited Kingdom 
McGill UniversityCanada 
University of British ColumbiaCanada 
Simon Fraser UniversityCanada 
Carleton UniversityCanada 
University of WaterlooCanada 
Australian National UniversityAustralia 
University of SydneyAustralia 
Western Sydney UniversityAustralia 
University of MelbourneAustralia 
La Trobe UniversityAustralia 
Monash UniversityAustralia 
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MBA in Data Analytics Scope in India

The amount of data available to us is continually expanding, and making sense of this data to derive useful insights and interpretations has become increasingly vital. This is where data analytics comes into play. Data analytics is the study of big data using analytics, statistics, predictive analytics, and other optimization tools and approaches to communicate insights to relevant stakeholders. Data analysts can assist a company in making critical decisions such as cost minimization, customer happiness, and profit growth.

Companies all around the world have finally realized that generating value from data is no longer a competitive advantage, but rather a need. Data Analytics and Science have developed as fresh ideas in technology-driven enterprises because data is vital to the running and growth of an organization. According to current trends, the field is predicted to increase dramatically in the future, which is why many hopefuls are betting on it and choosing it as a career path.

The future scope of the MBA in Data Analytics programme is highly promising:

  • After finishing the MBA in Data Analytics course, students might pursue further study.
  • MBA in Data Analytics graduates can pursue an M.Phil or a dual Master of Philosophy programme in relevant fields. It will help students get a better awareness of the numerous difficulties relating to their subject of interest, as well as improve career chances with a reasonable salary.
  • A student may choose to pursue a Ph.D. in Data Analytics or a similar area after completing their MBA in Data Analytics. Taking this course will improve job research abilities and lead to better positions as well as research chances with higher income and experience.
  • MBA in Data Analytics students may also apply for numerous civil service posts through the Union Public Service Commission (UPSC), state PSCs, and the Staff Selection Commission (SSC), as well as many other government competitive tests.
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MBA in Data Analytics Job Prospects and Career Opportunities

Most people do not associate the terms data analyst or data engineer with magicians, although that is exactly what a data analyst does. You may seriously develop a career of your choice within the subject of Data Analyst because it is a large domain with several specialties depending on your core talents and hobbies. The following are some of the most interesting data analyst fields that are attracting a lot of interest.

Job ProfileJob Description

Marketing Analyst


A marketing analyst is in high demand in today's world, as almost all marketing is digital marketing, and data-driven decisions must be made at all times. So, effectively, a marketing analyst is tasked with restoring order to the marketing domain. He makes decisions about which platforms to use for marketing initiatives, what the budget should be, geographic and demographic targeting, campaign duration, reading marketing reports, what the return on investment through each channel is, flagging non-performing marketing initiatives, and looking for newer avenues and opportunities to improve sales and revenue for any organization on an ongoing basis.
Financial AnalystA financial analyst is a financial outlier. He works with money-related data. Obtaining a high-level picture of how the finances are working, how to reduce costs and enhance the bottom line, what the proper pricing is for a specific purchase, searching for hidden gems that can help an organization perform better, and so on. In a nutshell, he deciphers and comprehends an organization's financial status like the back of his hand.
Sales AnalystAny company's ultimate goal is to make money. So Sales Analysts are critical for every firm attempting to break the sales code. A sales analyst will assess any organization's sales strategy and forecast the best course of action for increasing sales. He must sift through sales numbers to see whether something can be done at a cheaper cost, enhance the way the sales cycle unfolds, and optimize the entire sales process to increase the profitability of any firm.
Operations AnalystAn operations analyst is someone who understands an organization's end-to-end operations. He suggests the best approach for optimizing workflow, improving corporate processes, doing timely research, investigating workflow, recommending improvements, and ensuring that best practices, standards, and regulatory compliance are followed.
Technical Team LeadA technical team lead is a professional who is in charge of leading a technical team in any organization. Their primary responsibility is to ensure that technical development is appropriately addressed, that products are of good quality, and that they are delivered on schedule. They would need technical talents, but also strong leadership and management abilities.
Big Data Analyst A Big Data Analyst's job is to research the industry by identifying, collecting, analyzing, and communicating data that will help guide future business decisions. A Big Data Analyst deals with undiscovered data, patterns, and hidden trends, among other things.
Data AnalystA data analyst is someone who collects and analyses data based on sales figures, market research, logistics, and other aspects. They use their technological expertise to ensure the accuracy of data and work toward processing and accurately displaying it. This enables the firm to make sound business decisions.
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What is MBA in Data Analytics Salary?

Graduates with an MBA in Data Analytics degree can expect to make INR 6 lakhs to INR 15 lakhs per year as a beginning income, with the potential to earn INR 16-31 lakhs per year. In general, different job classifications pay differently. Aspirants should be aware that this compensation is not fixed and may fluctuate depending on several factors. A graduate's pay is affected by criteria such as designation, education level, experience, and location. The table below shows the average starting salary for MBA graduates in Data Analytics in India:

Job ProfileAverage Salary
Marketing AnalystINR 6-13 LPA
Financial AnalystINR 5-14 LPA
Sales AnalystINR 3-12 LPA
Operations AnalystINR 4-11 LPA
Technical Team LeadINR 8-24 LPA
Big Data Analyst INR 4-17 LPA
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Top MBA in Data Analytics Recruiters

The top recruiters for graduates with an MBA in Data Analytics degree are as follows:

  • Deloitte
  • PayPal
  • Dell
  • Infosys
  • Wipro Technologies
  • HCL Technologies
  • Mahindra Satyam
  • Cognizant Technology Solutions (CTS)
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Skills Required for MBA in Data Analytics Course

Candidates aspiring for an MBA in Data Analytics must possess the following skills.

  • Analytical Ability: The most fundamental skill you must have is analytical ability. This implies you can work with massive volumes of data and comprehend the patterns, correlation, causality, linkages, and connections that exist inside those mountains of data. Aside from that, you must be able to communicate effectively with all stakeholders in the firm. 
  • Communication Skills: You will be requested to convey your findings more frequently than not, therefore you must be able to make the other person comprehend what you want him to understand and have excellent communication skills. Another skill that a data analyst must develop is critical thinking. Ideally, there should be no doubt about what the data analyst recommends.
  • Mathematical Knowledge: Since data is a data analyst's bread and butter, he must be adept at mathematics. Last but not least, you should have an eye for detail, which will help you solidify your place as a highly sought-after data analyst in the long run.
  • Programming knowledge: R and Python are the two languages that must be learned by the candidates. Statistical and scripting languages can be divided into two groups according to whether compilation is required before execution.  
  • Data: Basic arithmetic abilities, particularly in statistics, are necessary for data analyst professions. For large datasets, it's preferable to utilize a robust programming language like R, but Microsoft Excel's statistical features can manage smaller ones.
  • Data Processing Platforms: Data analysts frequently employ big data processing systems like Hadoop and Apache Spark for massive data volumes. Data analysts may use these frameworks to search for data across many devices, clean, model, and analyze it to acquire a deeper understanding of correlations and patterns.
  • Visualization: Tableau is one of the most used tools for data visualization. In order to create graphical representations of the results, data analysts might query data contained in relational and cloud databases, spreadsheets, and online analytical processing (OLAP) arrays.
  • Machine learning: Any massive data analysis starts with automation. Computers may now automatically acquire new skills and complete tasks without explicit programming thanks to machine learning (ML). To solve particular issues, data analysts must understand how to develop, implement, and train the most relevant models and algorithms on datasets.
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Difference Between Data Analytics and Big Data

The main differences between Data Analytics and Big Data have been provided below.

Big DataData Analytics
Big Data is the term used to describe vast quantities of unstructured and raw data from a variety of sources.Data analytics refers to analysis of data. Businesses can get operational insights by processing and analyzing data that has been gathered from numerous online sources. Data is already structured.
To manage the massive amount of Big Data, one will need to employ the latest technological advances like automation or parallel computing tools because it is difficult to process Big Data.Simple tools for statistical modelling and predictive modelling are used.
Big Data is used by industries such as banking industries, retail industries and many more to take strategic business decisions.It is used by industries like IT Industries, Travel Industries, and Healthcare Industries. New advances in these sectors are made possible by data analytics, which uses historical data to analyze previous trends and patterns. 
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Difference Between Data Analytics and Data Science

The main differences between Data Analytics and Data Science have been provided below.

Data ScienceData Analytics
Data Science encompasses multiple disciplines – Mathematics, Statistics, Computer Science, Information Science, Machine Learning, and Artificial Intelligence.Data analytics is restricted to Statistics, Mathematics, and Statistical Analysis. 
It focuses on identifying significant relationships between huge datasets and coming up with fresh, creative questions that might stimulate innovation in business.In order to encourage data-driven innovation, data analytics seeks to identify answers to these questions and determine how to apply them inside an organization. 
Data scientists clean, analyze, and evaluate data to derive insights using a combination of mathematical, statistical, and machine learning techniques. ML algorithms, predictive models, custom analyses, and prototypes are used to create complex data modelling processes. Data analysts analyze data sets to find patterns and arrive at conclusions. Huge volumes of data are gathered, organized, and analyzed by data analysts to find pertinent patterns. Following the analytical phase, they make an effort to display their findings using techniques for data visualization, such as charts and graphs.
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FAQs about MBA Data Analytics

What are the most valuable skills for MBA in Data Analysts graduates?

Effective data analysts have a mix of technical and leadership abilities. Knowledge of database languages such as SQL, R, or Python; spreadsheet tools such as Microsoft Excel or Google Sheets; and data visualisation software such as Tableau or Qlik are all required. Mathematical and statistical skills are also useful for gathering, measuring, organising, and analysing data. A data analyst's leadership abilities prepare him or her to perform decision-making and problem-solving responsibilities.

What is the average fee for the course MBA in Data Analytics?

There is no fixed fee for MBA in Data Analytics. However, most colleges charge a semester-wise tuition fee for this course. In the case of private universities, the tuition fee may be slightly higher than those of public/government colleges. Having said that, the average fee range of an MBA in Data Analytics course is between INR 3 lakhs - INR 27 lakhs, which can quickly go up in some of the world-class private business schools.

What is the duration of the course MBA in Data Analytics?

MBA in Data Analytics, like any other full-time MBA programme, is a two-year postgraduate degree programme that covers all of the important areas in data analytics. It fortifies the basis of data research and analytics, allowing a candidate to obtain additional experience and value-based learning throughout the MBA Data Analytics programme.

Who are the prominent recruiters of MBA in Data Analytics graduates?

The following is a list of some of the most well-known recruiters of the MBA in Data Analytics graduates: Microsoft, Google, Wipro, HCL, Infosys, Genpact, Reliance, Accenture, WNS, Amazon, Facebook, Target, KPMG, IBM, TCS, etc.

Who is a Supply Chain Analyst?

One of the primary responsibilities of a supply chain analyst is to improve the performance of an organisation. They do this by defining the requirements for a specific project and coordinating them with the rest of the team. Engineers and quality assurance specialists are required to test their new supply chain operations, therefore the facts are presented to them by a supply chain analyst. They also recommend how to increase performance, minimise costs, and keep inventory under control.

Who is a System Analyst?

A systems analyst is someone who uses information technology to solve business challenges through analysis and design. Systems analysts can act as change agents by identifying organisational improvements that need to be made, designing systems to accomplish those improvements, and training and motivating others to use the systems.

Who is a Research Analyst?

A research analyst is a professional who conducts research on securities or assets for internal or external clients. This function is also known as a securities analyst, investment analyst, equities analyst, rating analyst, or simply "analyst." The research analyst's job is to investigate, evaluate, find, or revise data, principles, and hypotheses for internal usage by a financial institution or an external financial client.

How does an MBA in Data Analytics programme prepare graduates?

An MBA in Data Analytics prepares students for a future as a data analyst by teaching probability theory, statistical modelling, data visualisation, predictive analytics, and risk management in the context of a business. Furthermore, any master's degree in data analytics provides students with the programming languages, database languages, and software packages required for a data analyst's day-to-day employment.

What are the different types of Data Analytics?

Four forms of data analytics build on one another to provide greater value to a company. Descriptive analytics investigates what occurred in the past, whereas diagnostic analytics investigates why something occurred by comparing descriptive data sets to uncover connections and trends. Predictive analytics attempts to predict outcomes by recognising trends in descriptive and diagnostic analyses. Prescriptive analytics seeks to determine the best course of action for a firm.

What are the key responsibilities of an MBA in Data Analyst graduate?

In general, a data analyst's responsibilities typically include designing and maintaining data systems and databases, which includes fixing coding errors and other data-related problems; mining data from primary and secondary sources, then reorganising said data in a format that can be easily read by either human or machine; and using statistical tools to interpret data sets, paying special attention to trends and patterns that may be valuable for diversion.

What is meant by the term ‘Analytics’?

Analytics combines theory and practice to find and communicate data-driven insights that enable managers, stakeholders, and other executives to make more informed decisions in a company. Experienced data analysts analyse their work in the context of their organisation as well as other external circumstances. Analysts can also account for the competitive climate, internal and external company interests, and the absence of specific data sets in data-driven recommendations to stakeholders.

Who is a data analyst?

The data analyst acts as a gatekeeper for an organization's data, ensuring that stakeholders understand the information and can use it to make smart business decisions. It is a technical position that necessitates a bachelor's or master's degree like MBA in Data Analytics, computer modelling, science, or math.

What are some of the important subjects that aspirants study in the MBA in Data Analytics programme?

The MBA Data Science and Data Analytics programme provides students with a thorough understanding of the basics of data science and data analytics. Applied Statistics for Decision Making, Business Skills Development, Financial Analysis and Reporting, Data Cleaning, Normalisation, Data Mining, Applied Business Analytics, Econometrics, etc are some of the courses you will learn.

Where all an MBA in Data Analytics graduate can work?

To store the company's information, every organisation or institution need a data management department, which involves the hiring of data handlers. The job market in this region will see a lot of openings as demand develops. The areas of recruitment are as follows: Hotels and Restaurants, Product-based Companies, Banking Sector, IT Companies, Hospitals, Retail Stores and Shops, Educational Institutions, and more.

What is the scope of an MBA in Data Analytics?

The MBA in Data Analytics programme trains students for professions in business management and data analytics. The future is completely dependent on data. Everyone in today's culture owns a smartphone, tablet, or laptop, and they are continuously updating data. As a result of the high rate of career growth in this subject, the scope of this programme is exceptionally broad. As a result, persons with an MBA in Data Analytics are in high demand.

What is the difference between Data Analytics vs Business Analytics?

MBA in Data Analytics is the type of course that necessitates a technical bent of mind, whereas MBA in Business Analytics does not. Your primary responsibilities in Data Analytics would be data purging, cleaning, and analysing, whereas Business Analytics focuses on the functional part of firms, where they comprehend the data through market analysis and build business plans based on the outcomes of the analysis.

What is the difference between MBA in Data Analytics and MS in Data Analytics?

The MBA in Data Analytics degree programme aims to provide a general overview of the analytics industry's operation as well as information on the function that you may be required to play in the business. The MS in Data Analytics, on the other hand, is primarily concerned with data analysis and interpretation, with a greater emphasis on data. It is designed for a technical function and emphasises data-centric abilities while providing an understanding of business strategy.

Where can graduates work after completing their MBA in Data Analytics degree?

Jobs in analytics span from analyst to corporate intelligence manager and the concept may be applied in various business domains such as marketing, operations, supply chain, and more. In addition, top-performing firms have four times the amount of analytics professionals and one and a half times the number of functional experts as other businesses. Because Big Data is such a rapidly growing area, new tools are always becoming available, necessitating the employment of people who can quickly learn how to use them.

Is an MBA in Data Analytics a good option to pursue in India?

Yes, indeed it is! The MBA in Data Analytics is a specialised programme that prepares individuals to tackle complex business problems in the future that will need the integration of data-driven decision-making modules into IT, new software, and mobile apps. Courses in communications, statistics, human behavioural and cognitive models, functional domains, information technology, and analytical tools are included in the programme.

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Related Questions


priyal Babbar, Student / Alumni

-Answered on Feb-05-2024
Hi there, LPU offers several MBA programs with various specializations such as HR, Finance, Hospitality, Healthcare and many more. The admission for the next academic session has begun. You can register and book your LPUNEST slot. If you are awaiting your result then you can take provisional admission as well. Good Luck

Subhashri Roy, Student / Alumni

-Answered on Jan-05-2024

Dear student,

Around 126 colleges are accepting XAT score 2024. Some of the top MBA colleges accepting XAT score 2024 include the following:

You can also check out the XAT score vs percentile 2024 to predict your chances of getting into the XAT participating colleges. 

For admission-related assistance, please fill out our Common Application Form or call on our toll-free number 1800-572-9877. 

Thank you.


P sidhu, Student / Alumni

-Answered on Dec-20-2023
LPU NEST 2024 Application Form has been released via online mode. Exam Dates have been announced. It stands for Lovely Professional University National Eligibility and Scholarship Test. LPU NEST exam is conducted in different slots from January and April onwards. It is a university level entrance exam which is conducted for various courses including B.Tech, MBA etc. Candidates who want to get admission in Undergraduate and Postgraduate programmes can enrol in the exam. No. of LPU graduates are working at various MNC’s at high paying packages across the globe. Mittal School of Business, which attracts students from various parts of the world, is one of India’s foremost ‘Business Schools’ recognized for its industry-oriented and technology focussed curriculum, interactive and hands-on pedagogy, accompanied by intensive industry interface which also involves training of national and international industry professionals. A multidisciplinary campus and multicultural environment suffused with student activity ensures all round development of its graduates, grooming them for successful entrepreneurship and global careers. LPUs Mittal School of Business exhibits a rich diversity among students and faculty who flock to this centre of excellence from all parts of the country and across the globe. We believe that innovation and excellence flourishes in an environment that embraces diverse perspectives and nurtures free expression which ultimately helps them to adjust to any work environment while celebrating divergence.