Menu

Contact
    Call Us Icon
    Applications Open for 2026

    MBA/MTECH Analytics

    Interdisciplinary analytics program blending management and technical expertise

    2 Years | 4 Semesters
    MBA–M.Tech. Integrated
    School Of Business

    Program Overview

    The MBA/MTECH Analytics provides a comprehensive academic foundation with industry-relevant curriculum, practical learning, and career-focused education designed for professional success.

    The MBA–M.Tech. in Analytics integrates engineering, analytics, and management education to develop professionals capable of leading data-driven strategy, intelligent systems, and technology-enabled decision-making across modern organizations.

    Students gain expertise in data analytics, machine learning, programming, analytical modeling, and business strategy, enabling them to translate complex data insights into effective managerial and technological decisions.

    Admission At A Glance

    Duration

    2 Years

    Semesters

    4 Semesters

    Scholarship

    Available

    Program Fees

    ₹3,50,000 Per Year

    Eligibility

    Qualification

    Bachelor’s degree

    Branch Required

    Any discipline

    Minimum Score

    50% aggregate

    Entrance Exams

    PU PULSECATMATXATCMATGMAT

    Program Highlights

    The MBA/MTECH Analytics offers industry exposure, modern infrastructure, expert faculty, internships, skill development, and holistic campus learning experiences.

    Dual-degree Integration

    Combined engineering and management curriculum for technical and strategic depth.

    Hands-on Labs

    Industry datasets, cloud platforms, and coding practica for real-world experience.

    Capstone Projects

    Solve live business problems with mentoring from industry partners.

    Research & Innovation

    Access to faculty-led research, patents, and startup incubation support.

    Major Specialization Tracks

    The MBA/MTECH Analytics offers specialized career tracks in high-demand domains, helping students build expertise, innovation skills, and professional competence. Students may select a MBA M Tech Analytics specialization to develop deep expertise. Elective subjects will be based on the chosen track of MBA M Tech Analytics course.

    Machine Learning

    Advanced supervised, unsupervised, and deep learning applications.

    Big Data Engineering

    Distributed systems, data pipelines, and cloud-native analytics infrastructure.

    Business Analytics

    Prescriptive and descriptive analytics focused on managerial decision-making.

    AI in Finance

    Quantitative models, risk analytics, and fintech applications.

    Marketing Analytics

    Customer analytics, attribution modeling, and growth experimentation.

    Syllabus

    The MBA/MTECH Analytics syllabus integrates core fundamentals, emerging technologies, interdisciplinary subjects, and practical training aligned with current industry trends.The MBA M Tech Analytics syllabus is designed to build essential knowledge, practical skills, and leadership qualities for success in today’s evolving professional world

    Progressive curriculum from mathematical and programming foundations to advanced machine learning, big-data engineering, AI systems, strategic analytics, and a project-driven capstone integrating technical and managerial learning.

    Year 1Foundation
    SEM 1 & 2
    Computer Programming ParadigmsBusiness Communication and Intellectual PropertyPython for AnalyticsProbability/StatisticsBig Data SystemsComputing for Data AnalyticsData and Visual AnalyticsMachine Learning and Data Analytics
    Year 2Capstone
    SEM 3 & 4
    Introduction to Business for AnalyticsSocial Media AnalyticsIntroduction to Financial EngineeringSupply Chain and Logistic ManagementDissertationShare Market Trading System

    Program Outcomes

    The MBA/MTECH Analytics helps students achieve strong technical knowledge, critical thinking, professional skills, research aptitude, and global career readiness.

    • Design end-to-end machine learning solutions for business problems.
    • Develop scalable data pipelines and deploy analytics applications.
    • Analyze complex datasets to generate actionable business insights.
    • Evaluate AI strategies and align them with organizational goals.

    Career Opportunities

    The MBA/MTECH Analytics prepares graduates for diverse career opportunities, top industry roles, entrepreneurship, higher education, and global employment prospects.

    Data Scientist
    Machine Learning Engineer
    Data Engineer
    Analytics Manager
    Business Analyst
    AI Consultant
    Quantitative Analyst
    Product Analyst
    Chief Data Officer

    To apply for the MBA/MTECH Analytics programme at Pillai University, one of the top private universities in Mumbai, candidates must meet the following criteria:

    MBA M Tech Analytics Eligibility: Candidates must have completed Bachelor’s degree, securing a minimum of 50% aggregate (as per university norms).
    MBA M Tech Analytics Entrance Exams: A valid score in PU PULSE, CAT, MAT, XAT, CMAT, GMAT or other recognised national/state-level tests is required. These exams are used for merit-based selection into the programme.
    MBA M Tech Analytics Application Process: Applications are submitted online through the university portal. Shortlisted candidates may be called for counselling or personal interaction as per university guidelines.
    MBA M Tech Analytics Duration & Semesters: The programme runs for 2 years, comprising 4 semesters.
    MBA M Tech Analytics Fee: Approximately ₹3,50,000 per annum.
    MBA M Tech Analytics Cutoff: The cutoff for the MBA/MTECH Analytics programme will be announced soon. For more information, contact +91 881 882 8837.
    MBA M Tech Analytics Scholarship: Eligible students may apply for Scholarships, awarded as per merit and university policies.

    Required Documents:

    • S.S.C. and H.S.C. marksheets & passing certificates
    • Transfer/Leaving Certificate
    • Caste Certificate (if applicable)
    • Non-Creamy Layer Certificate (for DT/VJ, NT, OBC, SBC categories)
    • Migration Certificate (if applicable)
    • Domicile Certificate
    • Aadhar Card copy
    • Income Certificate (if applicable)
    • Anti-Ragging Affidavit (signed and submitted online)

    Highlights:

    Pillai University, recognised among the best universities in Mumbai and a top university in Navi Mumbai, offers industry-aligned, career-oriented programmes with global exposure, experiential learning, and research-driven education.

    Frequently Asked Questions

    What exactly is the MBA + M.Tech Analytics dual degree program at Pillai University — do I earn two separate degrees at the end?

    It is an integrated 2‑year dual degree where you study management plus advanced analytics and technology, and on successful completion you earn both an MBA and an M.Tech in Analytics from Pillai University.

    What is the eligibility criteria for the MBA + M.Tech Analytics program — minimum percentage, required background, and accepted entrance exams?

    Applicants need a Bachelor’s degree with at least 50% aggregate in a relevant/acceptable discipline and a valid score in PU PULSE or other approved entrance tests, as per university admissions policy for the dual programme.

    What is the difference between doing MBA + M.Tech Analytics as a dual degree vs. pursuing them separately which offers better value, time, career ROI?

    The dual degree offers a streamlined, integrated curriculum, saving time and avoiding duplication of subjects compared to pursuing MBA and M.Tech separately, while combining business management depth with rigorous analytics and technology training in one pathway.

    What is the fee structure for the MBA + M.Tech Analytics dual degree at Pillai University and how does it compare with both degrees separately?

    The MBA + M.Tech fee is approximately ₹3,50,000 per year for two years. Doing the integrated dual degree is typically more cost‑ and time‑efficient than registering and paying separately for two independent postgraduate programmes.

    What tools, technologies, and subjects are covered in this dual degree — Python, R, SQL, Machine Learning, Business Strategy, Financial Analytics, and AI for business?

    You study core analytics and technology subjects like Data Analytics, Big Data, Cloud Computing, Artificial Intelligence, Machine Learning, R and Python for Analytics, along with management courses in strategy, marketing, finance and operations for data‑driven decision making.

    What unique career roles does an MBA + M.Tech Analytics dual degree unlock — that a standalone MBA or standalone M.Tech Analytics cannot?

    Graduates can target roles that blend tech and business such as Analytics Consultant, Product and Data Strategy Manager, AI‑enabled Business Solutions Manager, Techno‑Functional Consultant, or Analytics Practice Lead, beyond typical standalone MBA or M.Tech profiles.

    What is the average salary after MBA + M.Tech Analytics dual degree and how does it compare to a regular MBA or M.Tech Analytics graduate?

    Dual‑degree graduates are well‑positioned for higher‑end analytics and techno‑managerial roles compared to single‑degree peers.

    Which top companies recruit MBA + M.Tech Analytics dual degree graduates — McKinsey, Amazon, Google, KPMG, Fractal Analytics, TCS, or FinTech firms?

    We provide opportunities across consulting, IT services, analytics and technology‑driven businesses but does not list specific recruiters. Graduates can typically aim for roles in leading consulting, technology, product, BFSI, and analytics‑focused organisations.

    Is the MBA + M.Tech Analytics dual degree program at Pillai University AICTE-approved and UGC-recognized — are both degrees independently valid?

    Pillai University operates as a UGC recognised university, and the dual programme is offered under its approved academic framework. Both MBA and M.Tech degrees awarded on completion are independently valid as per university and regulatory norms.

    Does the MBA + M.Tech Analytics program include internships, live data projects, research thesis, and industry collaborations as part of both degrees?

    The dual degree includes internships, industry‑oriented projects, research components and collaborations that expose students to real business problems, applied analytics and technology implementation, integrating practical learning elements across both the management and M.Tech components.

    For more detailed information about the MBA/MTECH Analytics, including course content, faculty, and admission process, enquire now.

    MBA M.Tech Analytics Course Fees, Syllabus & Eligibility