Careers360 Logo
ask-icon
share
    Compare

    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Important dates

    Course Commencement Date

    Start Date : 19 Jan, 2026

    End Date : 10 Apr, 2026

    Certificate Exam Date

    Start Date : 26 Apr, 2026

    Courses and Certificate Fees

    Fees InformationsCertificate AvailabilityCertificate Providing Authority
    INR 1000yesIIT Kanpur

    The Syllabus

    • Introduction to Systems 
    • System Analysis and Design 
    • Decision Support Systems (DSS) 
    • Design of Decision Support Systems

    • Rational Decisions using DSS 
    • Introduction to Relational Database 
    • Relating Multiple Databases 
    • Case Study on DSS 
    • Assignment: Practice on DSS Databases

    • Basics of Data Modelling
    • Models for DSS
    • Selecting a Right Model 
    • Assignment: Practice on Model Selection 
    • Developing Models for DSS applications

    • Introduction to Big Data
    • General Applications and Uses 
    • Big Data Analytics (BDA) 
    • Assignment: Additional reading material 
    • Case Study on Retail Industry

    • Credit Modeling 
    • Web Analytics 
    • BDA in Engineering and Manufacturing 
    • Assignment: Additional reading material 
    • Enhancing Quality and Cost Control

    • Improving Forecast Accuracy 
    • Anticipating Demand Changes 
    • Inventory Management 
    • Pricing, Market Basket Analysis

    • Cost Management 
    • Medical Monitors, Targeted Drug Delivery 
    • US BRAIN Initiative 
    • Alzheimer’s and Parkinson’s models 
    • Assignment: Case study on Healthcare BDA

    • Population Health Strategies 
    • BDA in transportation 
    • ATC Management 
    • Flat Tracking, Tyre & Fuel Usage 
    • Assignment: Demonstration using soft tools

    • Buying Power instead of engine (RR Model) 
    • Assignment: Case study on Transportation BDA models 
    • Complaint Redressal 
    • UAVs, Smart Vehicle Integration 
    • Big Data practices in Industry

    • Introduction to Simulation 
    • Discrete Event Simulation 
    • Simulation for Descriptive Analytics 
    • Simulation for Prescriptive Analytics

    • Product Innovation, and Benchmarking 
    • Real-Time Performance Monitoring (Mc Laren) 
    • Assignment: Case study on Manufacturing 
    • BDA and Industry 4.0 Product Lifecycle Management, Managing Innovation 
    • Assignment: Demonstration on PLM software

    • BDA and Healthcare 
    • Reducing reaction time to critical clinical events 
    • Back Testing Analytical Models 
    • Recapitulating the CADSS BDA concept

    Instructors

    Articles

    Student Community: Where Questions Find Answers

    Ask and get expert answers on exams, counselling, admissions, careers, and study options.