Admission for Decision Management (Business Analytics) Admission for Digital Marketing Admission for Certificate Programme
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Diploma in Decision Management

Introducing

Program Highlights

  • Hands-On Experience: Prepare to eagerly implement your learning in various real-world situations.
  • Strategic Decision-Making: Learn to make informed and effective strategic decisions using data-driven techniques.
  • Comprehensive Curriculum: Covers decision analysis, risk management, operations research, predictive analytics, and decision support systems.
  • Practical Applications: Apply decision management principles to real-world business scenarios and case studies.
  • Expert Instructors: Learn from experienced professionals and industry experts in decision management.
  • Flexible Learning Formats: Choose between self-paced online modules or structured offline classes to suit your schedule.
  • Interactive Learning: Engage with diverse learning methods, including interactive videos, practice quizzes, presentations, assignments, and discussion forums.
  • Advanced Tools and Techniques: Gain proficiency in using advanced decision-making tools and software.
  • Certification: Earn a recognized diploma that enhances your professional qualifications in decision management.
  • Networking Opportunities: Connect with peers, mentors, and industry professionals through forums and networking events.
  • Specialise : Choose between the two most preferred in demand Elective Domains i.e. HR / Finance.

Duration:

  • 10 months : (Hybrid Mode – Online + Offline)

    (2 Hour/Day online on any three-week days and 4 Hours offline on weekends)

Program Structure:

Catalog Course Code Course Code Course Title Credits Continuous Assessment Term End Examination Total Marks
T3665 101 Business Analytics 4 120 80 200
TE7690 102 Statistics for Data Science 4 120 80 200
TM2146 103 Business Intelligence for Management 4 120 80 200
TEE7118 104 Business Intelligence and Process Management 3 90 60 150
TE7022 105 Predictive Analytics 4 120 80 200
T2805 106 Capstone Project 5 0 250 250
Total 24 570 630 1200
Generic Elective Course Group (Choose any one course)
Group – A HR Analytics
TM2216 107 Introduction to HR Analytics 4 120 80 200
T2300 108 HR Analytics 2 60 40 100
Group – B Financial Analytics
New 109 Introduction to Financial Analytics 4 120 80 200
TM2069 110 Advanced Financial Analytics 2 60 40 100
Total Required Credits 6 180 120 300
TOTAL 30 750 750 1500

Topics & Sub-topics Covered:

Generative AI, Machine Learning, Data Science in Decision Making, Optimization Modelling, Data Visualization, Correlation, Regression, Business Intelligence, Intro to Power BI,Tableau,Working with Dashboards, Big Query, Business Process Management, BPM suites, Business Process Management Life Cycle, Data warehouse, Gartner Maturity Model, correlation and regression Sampling, Prediction with Regression and Time Series Analysis, Supervised Learning Methods, HR analytics Need, HR tools and techniques, Case studies on HR analytics, Recruitment analytics, selection analytics, Analytics in TD, Field Project, Mapping Analytics capabilities to business strategies, Assessment of Human Capital Management strategies, Human Capital Accounting, Roles & Competencies of the Future HC Leader, Business & Financial Accounting, Balanced Scorecard, Analytics in Banking , Digital Marketing Analytics using Google Analytics, Customer Segmentation, Credit Risk Analytics, Fraud Analytics in Financial Services , Capital Budgeting under risk, Ratio Analysis

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