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P G Certificate Programmes in Business Analytics and AI in Business

1.1 AIM AND OBJECTIVE

Aim

• To develop data – driven strategic leadership in manufacturing and service industries.
• To enhance operational agility across functions and mastering the intelligence gap to remain resilient at all times.

Objective

• The Certificate Programmes namely; i) Certificate Programme in Business Analytics and ii) Certificate Programme in AI in Business, offer a direct solution to the widening talent gap in a data – driven decision making. These are not merely courses/academic programmes but are a journey from ‘Data understanding” to “AI-Led Automation”.
• These Programmes promise an immediate Return-On-Investment (ROI). The participants will be able to apply their training and learning to real business datasets, creating solutions that can be deployed within their organisations. The programmes have the potential to transform executives and managers into decision-intelligence experts equipped to architect the autonomous, data driven future of their organisations.

1.2 Programmes

1.3 Admission Process

• Walk in to the Institute or fill up the online application form from university website.
• Be present during the counselling process (admission rounds for confirmation of admissions with fees and relevant documents).
• Link for online application admission.upluniversity.ac.in

1.4 ELIGIBILITY CRITERIA

1.5 PROGRAMME OUTLINE AND EVALUATION

Programme Philosophy
• 40% Foundations (Concept and Application in Business)
• 40% Applied/Domain Analytics
• 20% Capstone + Industry Immersion

Design Principles
• Business First, not Tech-first
• AI + Data based Decision Making for Business Transformation

Pedagogical Framework
• 60:40 Theory-to-Practical mix
• Experiential Learning through Simulation exercises (Business Decision Scenarios)
• Case-led Learning
• Tool-based Analytical Labs: The Learning Structure consists of Concept Lectures, Tool Demonstration, Laboratory Sessions, Assignments, Hands-on tool exploration and peer-discussions.
• Expert Lectures
• Capstone Project

1.6 TOOLS AND THEIR APPLICATIONS

1.7 EVALUATION FRAMEWORK AT EVERY SEMESTER

Continuous Assessment (Practical Component and Graded Assignments): 20%
• Mid semester Exams: 30%
• End Semester Exams: 50 %
• Evaluation of Capstone Project:
a) Problem Identification: 20%
b) Identification of tools used and their justification: 20%
c) Application of tools on Business problems: 40%
d) Overall presentation and Effectiveness of work done/ Usefulness of outcome: 20%

1.8 ONLINE AND OFFLINE DELIVERY MODEL

• Online 80% Weekly Live sessions ( Weekends / Evenings- 8 hours a week)
• Offline 20% : 2 campus immersions – 1 each semester ( 2/3 days each )

2.0 OTHER HIGHLIGHTS:

• Case Marathons
• Hackathons
• Industry Talks
• Peer Discussions
• Industry Integration: Consulting Firms, Tech companies and Startups, Live data from Industries, Compulsory Industry sponsored Capstone

2.1. UNIQUE VALUE ADDITION BY UPL UNIVERSITY

• Analytics for Sustainability (UUST’s Strength)
o Agriculture Analytics
o Climate Data Analysis
o ESG
• No-Code / Low Code Analytics
o For Managers (Power Platform and Auto ML)
• Analytics and AI in Indian Government and Public Systems Governance (Use Cases)
• Live Problem-Solving Sessions with Companies
• Leadership Layer: “Leading AI Transformation” module (CXO focus)

3. SEMESTER LAYOUT

3.1 P. G. CERTIFICATE PROGRAMME IN BUSINESS ANALYTICS

3.2. P G CERTIFICATE PROGRAMME IN AI IN BUSINESS