Online MBA in Data Analytics: Admission, Fees, & Career Scope

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Online MBA in Data Analytics
  • BY ADMIN
  • 29 July, 2026

Online MBA in Data Analytics: Admission, Fees, & Career Scope

Table of Contents

    An Online MBA in Data Analytics is a two-year postgraduate management degree that combines business management with data-driven decision-making. The programme provides students with a strong foundation in business analytics, data visualisation, predictive analytics, and business intelligence. It is ideal for working professionals, fresh graduates and entrepreneurs.

    Graduates can look forward to job opportunities in industries like IT, banking, finance, healthcare, e-commerce, consulting, and manufacturing where data analytics professionals are in high demand.

    What is an Online MBA in Data Analytics?

    An Online MBA in Data Analytics is a postgraduate management programme that combines core business subjects with data analytical techniques. The programme is designed to help students understand how to collect, analyse, interpret, and present business data for better decision-making.

    Online MBA in Data Analytics: Overview

    FeatureDetails
    Course NameOnline MBA in Data Analytics
    Course LevelPostgraduate
    Duration2 Years
    EligibilityBachelor's degree from a recognised university
    ModeOnline
    Admission ProcessMerit-based (varies by university)
    Average Fees₹60,000–₹2,50,000
    Top RecruitersDeloitte, Accenture, TCS, Infosys, Wipro, EY, KPMG, Amazon, Flipkart

    Eligibility Criteria 

    To apply for an online MBA in Data Analytics, candidates generally need to:

    • Hold a bachelor's degree from a recognised university.
    • Meet the minimum aggregate marks required by the university (typically 50%, with relaxation for reserved categories where applicable).
    • Some universities may consider work experience, though it is often optional.

    Subjects Covered in an Online MBA in Data Analytics

    The curriculum generally includes:

    • Principles of Management
    • Financial Management
    • Marketing Management
    • Business Statistics
    • Business Analytics
    • Data Visualization
    • Predictive Analytics
    • Big Data Analytics
    • Artificial Intelligence for Business
    • Data Mining
    • Business Intelligence
    • Strategic Management
    • Operations Management
    • Research Methodology
    • Capstone Project

    Read More: Is an Online MBA Worth It? Career Growth & ROI

    Types of Data Analytics

    Type of Data AnalyticsPurposeKey Question AnsweredExample
    Descriptive AnalyticsAnalyses historical data to understand what has happenedWhat happened?A retail company reviews last month's sales performance.
    Diagnostic AnalyticsIdentifies the reasons behind past eventsWhy did it happen?An e-commerce business investigates why online sales dropped in a specific region.
    Predictive AnalyticsUses historical data, statistical models, and machine learning to forecast future outcomesWhat is likely to happen?A bank predicts which customers may default on loans.
    Prescriptive AnalyticsRecommends the best course of action using AI, optimisation, and simulationsWhat should we do?A logistics company suggests the fastest delivery routes to reduce costs and improve efficiency.
    According to McKinsey's Global Survey on Data and Analytics, 47% of business leaders say that data and analytics have significantly changed the competitive landscape in their industries. Organisations that effectively leverage data analytics are better positioned to make informed decisions, improve customer experiences, and gain a competitive edge. This highlights why data analytics has become a core capability for modern businesses across sectors. 

    Admission Process for an Online MBA in Data Analytics

    The admission process for an Online MBA in Data Analytics is generally simple and fully online. While specific requirements may vary by university, most institutions follow these steps:

    Step 1: Check Eligibility

    Ensure you meet the university's eligibility criteria, typically a bachelor's degree from a recognised university with the required minimum marks.

    Step 2: Complete the Online Application

    Visit the university's official admission portal, register with your basic details, and fill out the online application form by selecting the Online MBA in Data Analytics programme.

    Step 3: Upload Required Documents

    Submit scanned copies of the necessary documents, such as:

    • Class 10 and 12 mark sheets
    • Bachelor's degree and mark sheets
    • Government-issued ID proof (Aadhaar Card/PAN Card/Passport)
    • Passport-size photograph
    • Signature
    • Work experience certificate (if applicable)

    Step 4: Pay the Application Fee

    Pay the application or registration fee through the university's secure online payment gateway.

    Step 5: Document Verification

    The university verifies your academic records and other submitted documents. Some universities may also conduct a telephonic or online counselling session before confirming admission.

    Step 6: Admission Confirmation

    Once your documents are approved and eligibility is verified, the university issues an admission confirmation letter or offer letter.

    Step 7: Fee Payment and Enrollment

    Pay the programme fee (either in full or through available EMI options) to confirm your seat. After successful payment, you receive your enrollment number and student credentials.

    Step 8: Access the Learning Management System (LMS)

    After enrollment, you gain access to the university's online learning portal, where you can attend live classes, watch recorded lectures, access study materials, submit assignments, and appear for online examinations.

    Career Opportunities After an Online MBA in Data Analytics

    Graduates can work as:

    • Data Analyst
    • Business Analyst
    • Business Intelligence Analyst
    • Analytics Consultant
    • Data Analytics Manager
    • Marketing Analyst
    • Financial Analyst
    • Risk Analyst
    • Product Analyst
    • Operations Analyst

    Read More: Jobs After an Online MBA: Industries Hiring Online MBA Graduates

    Online MBA in Data Analytics Salary in India

    Experience LevelAverage Annual Salary
    Freshers₹5–8 LPA
    2–5 Years₹8–15 LPA
    5–10 Years₹15–25 LPA
    Senior Professionals₹25 LPA+

     Note: Salaries vary based on employer, location, skills, certifications, and experience.

    Industries Hiring Data Analytics Professionals

    • Information Technology
    • Banking and Financial Services
    • Healthcare
    • E-commerce
    • Retail
    • Manufacturing
    • Consulting
    • Telecommunications
    • Logistics and Supply Chain
    • Government and Public Sector

    Skills You'll Learn

    During the programme, students develop skills such as:

    • Business Analytics
    • Data Visualization
    • SQL and Database Management
    • Excel for Analytics
    • Tableau and Power BI
    • Python for Data Analysis
    • Predictive Analytics
    • Machine Learning Basics
    • Business Intelligence
    • Decision-Making Using Data

    Why Choose TMU for an Online MBA in Data Analytics?

    If you're looking for a career-focused Online MBA, Teerthanker Mahaveer University (TMU) offers industry-relevant learning designed to meet modern business needs. Students benefit from:

    • UGC-entitled online programmes
    • Experienced faculty and industry-oriented curriculum
    • Flexible learning platform
    • Practical case studies and business projects
    • Placement assistance and career support
    • Alumni network and industry exposure

    Conclusion

    An Online MBA in Data Analytics is a great option for professionals and graduates seeking a blend of business knowledge and analytical skills. Organisations are increasingly dependent upon data for growth, and analytical and management professionals are much sought-after. This programme can help you develop a successful career in today's data-driven business world with flexible online learning, strong career prospects and opportunities across industries.

    FAQ

    Q1. Which MBA is best for data analysts?

    Ans. An MBA in Data Analytics is one of the best choices for data analysts, as it combines business management with analytical skills, helping professionals move into leadership and strategic decision-making roles.

    Q2. What is the salary of an MBA in data analytics?

    Ans. After completing an MBA in Data Analytics, the average salary for freshers is in the range of ₹5-8 LPA. After gaining experience, professionals can earn Rs. 10-25 lakh or more, depending on their skills, company, and job role.

    Q3. Which MBA is highly paid?

    Ans. Some of the highest-paying MBA specialisations include Data Analytics, Business Analytics, Finance, Marketing, International Business, and Information Technology. 

    Q4. Which MBA is better: finance or data analytics?

    Ans. It depends on your aspirations. If you are interested in banking or financial management, go for an MBA in Finance. If you are interested in working with data and data analytics, choose an MBA in Data Analytics. Both provide very good job prospects.

    Q5. Which college is best for an online MBA in data analytics in India?

    Ans. Teerthanker Mahaveer University, Amity University Online, Manipal University and Chandigarh University Online are some of the universities which provide quality Online MBA in data analytics programmes. 

    Q6. Which MBA is highest in demand?

    Ans. Data Analytics, Finance, Marketing, Healthcare Management, HR, and IT are some of the most popular MBA specialisations that align with the industry requirements.

    Q7. What are the 4 types of data analysis?

    Ans. The four major types of data analysis are:

    • Descriptive Analysis 
    • Diagnostic Analysis 
    • Predictive Analysis
    • Prescriptive Analysis 

    Q8. What are the top 3 skills for a data analyst?

    Ans. There are three essential skills for a data analyst:

    • Data Analysis 
    • Statistical Skills
    • SQL and Data Visualisation Tools 
    • Critical Thinking 
    • Problem-Solving