M.B.A. (DS& DA) / Academic Year 2025-26 / Batch 2024-26 / Semester IV / Specialization Elective

2024-26 HR Analytics

    Catalogue Code: T3464
    Course Type: Specialization Elective Course
    Total Credit: 3
    No. of Hours: 45
    Internal Marks: 150
    External Marks : 40
    Total Marks: 150
    Experiential Learning : Employability
    Primary Purpose of Course: Other
    Primary Orientation of the Course: Transferable /Life Skills
    Course Code: 302420410
    Course rating: 5.0(1)

    2024-26 Healthcare analytics

      Catalogue Code: T3458
      Course Type: Specialization Elective Course
      Total Credit: 3
      No. of Hours: 45
      Internal Marks: 150
      External Marks : 40
      Total Marks: 150
      Experiential Learning : Employability
      Primary Purpose of Course: Human Values
      Primary Orientation of the Course: Transferable /Life Skills
      Course Code: 302420409

      2024-26 Energy Analytics

        Catalogue Code: T3463
        Course Type: Specialization Elective Course
        Total Credit: 3
        No. of Hours: 45
        Internal Marks: 150
        External Marks : 40
        Total Marks: 150
        Experiential Learning : Employability
        Primary Purpose of Course: Other
        Primary Orientation of the Course: Transferable /Life Skills
        Course Code: 302420408

        2024-26 Customer Analytics

          Catalogue Code: T3456
          Course Type: Specialization Elective Course
          Total Credit: 3
          No. of Hours: 45
          Internal Marks: 150
          External Marks : 40
          Total Marks: 150
          Experiential Learning : Employability
          Primary Purpose of Course: Other
          Primary Orientation of the Course: Transferable /Life Skills
          Course Code: 302420407
          Course rating: 5.0(1)

          2024-26 IoT Analytics

            Course Name: IoT analytics
            Course Code: T3461
            Faculty: Computer Studies
            Course Credit: 3
            Course Level: 4
            Sub-Committee (Specialization): Data Science
            Learning Objectives:
            1. Create awareness about IoT domain, devices, protocols and systems.
            2. Understand how IOT, cloud computing and big data analytics can work together.
            3. To analyze the Connectivity and Security issues related to IoT.
            4. Develop IoT applications that will communicate with iot hardware and software
            Catalogue Code: T3461
            Course Type: Specialization Elective Course
            Total Credit: 3
            No. of Hours: 45
            Internal Marks: 150
            External Marks : 40
            Total Marks: 150
            Experiential Learning : Employability
            Primary Purpose of Course: Other
            Primary Orientation of the Course: Transferable /Life Skills
            Course Code: 302420406
            Course rating:

            5.0(1)

            2024-26 Cyber Security Analytics

              Catalogue Code: T3462
              Course Type: Specialization Elective Course
              Total Credit: 3
              No. of Hours: 45
              Internal Marks: 150
              External Marks : 40
              Total Marks: 150
              Experiential Learning : Employability
              Primary Purpose of Course: Other
              Primary Orientation of the Course: Transferable /Life Skills
              Course Code: 302420405
              Course rating: 5.0(1)