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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 visualization. 

    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 achieve atleast 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.

    MBA in Data Analytics Career Path

    Career OptionShort DescriptionSalary Range (₹ LPA)
    Data AnalystFinds patterns in data.4 – 10 LPA
    Business AnalystImproves business processes.5 – 12 LPA
    Data ScientistBuilds predictive models.8 – 20 LPA
    BI AnalystMakes dashboards & reports.5 – 12 LPA
    Marketing AnalystOptimises marketing.4 – 10 LPA
    Financial AnalystBudgeting & forecasting.4 – 12 LPA
    Product AnalystStudies product usage.6 – 15 LPA
    Supply Chain AnalystImproves logistics.4 – 10 LPA
    HR AnalystData for HR decisions.4 – 9 LPA
    Risk AnalystIdentifies risks.5 – 12 LPA
    Big Data AnalystWorks with big datasets.7 – 18 LPA
    Analytics ConsultantData-based advice.8 – 20 LPA
    Data EngineerBuilds data pipelines.7 – 18 LPA
    ML ConsultantApplies ML solutions.10 – 25 LPA
    Customer Insights AnalystUnderstands customers.5 – 12 LPA

     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. 

    Top Colleges

    CollegeProgram / SpecialisationLocation
    IIM BangaloreMBA – Business AnalyticsBengaluru, Karnataka
    IIM CalcuttaMBA in Business Analytics / PGDBAKolkata, West Bengal
    IIM KashipurMBA (Analytics Specialisation)Kashipur, Uttarakhand
    Teerthankar Mahaveer UniversityMBA (Analytics Specialisation)Moradabad, UP
    Great Lakes Institute of ManagementMBA / PGDM – Business AnalyticsChennai, Tamil Nadu
    NMIMS MumbaiMBA in Business AnalyticsMumbai, Maharashtra
    SCMHRD (Symbiosis)MBA – Business AnalyticsPune, Maharashtra
    XIMEPGDM – Business AnalyticsBengaluru, Karnataka
    PSG Institute of ManagementMBA / PGDM – Business AnalyticsCoimbatore, Tamil Nadu
    ISB (Indian School of Business)AMPBA – Business AnalyticsHyderabad (Telangana) & Mohali (Punjab) campuses

    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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