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MBA in Data Analytics: Eligibility, Fees & Career Paths

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    An MBA in Data Analytics is a two-year postgraduate degree programme that combines core business administration principles with advanced data analysis skills. The programme is designed to equip candidates with both management and technical skills. The course covers topics like statistical analysis, machine learning basics, business intelligence, and data visualisation. 

    An MBA in Data Analytics provides graduates with a wide range of career opportunities across various industries like IT, finance, healthcare, e-commerce, and consulting. It is considered a powerful postgraduate programme with strong analytical training and managerial expertise. 

    MBA in Data Analytics Details

    CategoryDetails
    Course NameMaster of Business Administration in Data Analytics
    Course LevelPostgraduate (Master’s Programme)
    Duration2 Years (4 Semesters)
    EligibilityBachelor’s degree with a minimum of 50% marks (varies by university)
    Admission ProcessEntrance Exam + Personal Interview
    Popular Entrance ExamsCAT, MAT, XAT, CMAT, GMAT, University-level exams
    Programme FocusData analysis, business intelligence, predictive modelling, data-driven decision-making
    Skills DevelopedData analytics, statistical analysis, data visualisation, machine learning basics, business strategy
    Career OpportunitiesData Analyst, Business Analyst, Data Scientist, Analytics Consultant, BI Specialist
    Average Salary Range₹5 LPA – ₹15+ LPA (varies by skills & experience)
    Top RecruitersDeloitte, Accenture, TCS, Infosys, KPMG, EY, IBM, Analytics Firms

    Teerthanker Mahaveer University

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    MBA in Data Analytics Syllabus

    CategorySubjects / Tools
    Core Subjects
    1. Business Intelligence
    2. Data Visualisation and Decision-Making Systems
    3. Statistical Analysis
    4. Predictive Analytics
    5. Data Management
    6. Business Analytics Strategy
    7. Data-driven Decision-making
    Specialised & Technical Subjects
    1. Python for Data Science
    2. Machine Learning
    3. Deep Learning
    4. Natural Language Processing (NLP)
    5. Computer Vision
    6. Big Data and Cloud Computing
    Elective Subjects
    1. Social and Web Analytics
    2. Advanced Excel
    3. Financial Analytics
    4. Marketing Analytics
    5. HR Analytics
    6. Operations and Supply Chain Analytics
    7. Retail Analytics
    Tools & Platforms
    1. Programming Languages: Python, R, SQL
    2. Visualisation Tools: Tableau, Power BI
    3. Technologies: Hadoop, Spark, AWS
    4. Libraries: scikit-learn, TensorFlow

    MBA in Data Analytics Eligibility Criteria

    • You need to complete your undergraduate degree programme.
    • The core subjects should be Engineering, Mathematics, Statistics, or Computer Science or a related field. 
    • You must have achieved at least 50% marks.
    • You must have a valid score in a national-level management entrance exam such as the CAT, XAT, GMAT, or GRE.

    Admission Procedure

    Apply Online

    • Go to the official website of the TMU’s admission page.
    • Complete the registration process and apply
    • Upload the required documents
    • Pay the application fee online

    Interview & Final Admission

    • You’ll be called for an interview or a counselling session. 
    • This interview will be based on your entrance test or merit score.

    Career Paths After an MBA in Data Analytics

    An MBA in Data Analytics prepares graduates for roles that combine data interpretation with strategic business decision-making. Unlike purely technical analytics roles, these careers require an understanding of organisational objectives, stakeholder communication, and data-driven leadership.

    Business Analyst

    Business Analysts act as a bridge between data teams and business stakeholders. They analyse organisational data to identify inefficiencies, optimise processes, and support strategic planning. MBA graduates with analytics expertise are particularly suited to this role due to their understanding of management principles and business operations.

    Key Responsibilities

    • Translating business problems into data-driven solutions
    • Analysing market, customer, and operational data
    • Supporting leadership in strategic decision-making

    Industries Hiring

    • Consulting
    • Banking and financial services
    • IT and enterprise solutions

    Data Analyst

    Data Analysts focus on collecting, processing, and interpreting structured data to generate actionable insights. MBA graduates bring additional value by contextualising insights within business objectives, enabling data-backed managerial decisions.

    Key Responsibilities

    • Data cleaning, validation, and interpretation
    • Creating dashboards and performance reports
    • Supporting cross-functional teams with analytical insights

    Industries Hiring

    • E-commerce
    • Healthcare analytics
    • Retail and supply chain management

    Analytics Consultant

    Analytics Consultants advise organisations on leveraging data for growth, efficiency, and competitive advantage. This role requires strong analytical skills combined with client management and strategic thinking, making it well-suited for MBA graduates.

    Key Responsibilities

    • Designing analytics-driven business strategies
    • Advising clients on data implementation and optimisation
    • Supporting digital transformation initiatives

    Industries Hiring

    • Management consulting firms
    • Technology consulting organisations
    • Corporate strategy divisions

    Marketing Analytics Manager

    Marketing Analytics Managers analyse consumer data, campaign performance, and market trends to optimise marketing strategies. An MBA in Data Analytics enables professionals to align analytics with branding, sales, and customer engagement goals.

    Key Responsibilities

    • Measuring campaign effectiveness and ROI
    • Customer segmentation and behaviour analysis
    • Supporting data-driven marketing decisions

    Industries Hiring

    • Digital marketing agencies
    • FMCG and retail organisations
    • Media and advertising firms

    Career Progression and Growth Opportunities

    Career growth after an MBA in Data Analytics follows a structured progression based on experience, leadership capability, and strategic responsibility.

    Typical Career Growth Path

    • Entry-Level Roles: Business Analyst, Data Analyst, Marketing Analyst
    • Mid-Level Roles: Senior Analyst, Analytics Manager, Strategy Consultant
    • Senior-Level Roles: Head of Analytics, Director of Business Intelligence, Chief Data Officer

    As professionals gain experience, their roles evolve from data interpretation to strategic decision-making and leadership.

    How TMU Prepares Students for Data Analytics Careers

    Teerthanker Mahaveer University integrates business analytics training with managerial education to prepare students for industry-ready careers. The MBA in Data Analytics focuses on practical exposure, analytical tools, and applied business projects.

    • Industry-aligned curriculum covering analytics and management
    • Hands-on projects and case-based learning
    • Academic mentorship and career support services

    This structured approach helps graduates transition confidently into analytics-driven business roles.

    MBA in Data Analytics Entrance Exam

    Entrance ExamConducting BodyKey Features / Notes
    CATIIMsMost widely accepted; covers Quant, DILR, Verbal
    XATXLRI (XAMI)Includes a Decision Making section; accepted by many top B-schools
    CMATNTAOnline test; sections include Quant, Logic, Language, General Awareness
    MATAIMAHeld multiple times a year; includes data analysis & reasoning
    NMATGMACFlexible test window; accepted by many MBA / Business Analytics programs
    SNAPSymbiosisSpecifically for Symbiosis MBA programmes, it tests reasoning, English, etc.
    ATMAAIMS Test for Management AdmissionsAnother national-level MBA exam is accepted by some analytics MBA programmes. 

    MBA in Data Analytics Fees

    Type of CollegeFee (Total)
    Government / Public (IIMs, top public B-schools)₹17 lakh – ₹26 lakh 
    Private Colleges₹9 lakh – ₹20 lakh (varies by college) 

    Conclusion

    An MBA in Data Analytics provides a blend of technical skills and soft skills. It combines business strategies with advanced analytical skills. It is a great option for students and people willing to work in a data-driven world in the future. It provides access to high-growth and high-paying jobs in any industry. 

    FAQ

    Q1. Is an MBA in data analytics worth it?

    Ans. Yes, an MBA in Data Analytics is a worthwhile investment for those seeking to advance into leadership and management roles in data-driven industries.

    Q2. What is an MBA in data analytics?

    Ans. An MBA in Data Analytics is a two-year postgraduate degree programme that combines core business administration principles with advanced data analysis skills. 

    Q3. Who is eligible for an MBA in data analytics?

    Ans. To be eligible for an MBA in Data Analytics, you need a bachelor's degree from a recognised university, often with a minimum of 50% marks.

    Q4. What is the salary of an MBA in data analytics?

    Ans. An MBA graduate in Data Analytics and Business can earn an average salary between ₹8 LPA and ₹12 LPA.

    Q5. Which MBA field is most in demand?

    Ans. The most in-demand MBA specialisations are Finance and Business Analytics, due to high salaries and growth in the banking, consulting, and tech sectors.

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