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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:
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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
