
- Batch
02
- Duration
8-10 Months
- Mode
Blended Learning
(On Campus + D2D) - Commencement Date
22nd November, 2026
- Application Closure Date
Closing Soon
- Campus Immersion
One Campus Immersion of 2 Days
- Session Timing
Sunday
6:00 PM to 9:00 PM
Programme Overview
The Post Graduate Certificate Programme in Operations Management & Analytics by IIM Visakhapatnam is designed to equip professionals with the skills needed to drive efficiency, agility, and innovation in modern operations. As industries embrace digital transformation, the demand for talent capable of integrating operational excellence with data-driven decision-making is on the rise. This programme bridges that gap by developing core capabilities in supply chain optimisation, process improvement, and predictive analytics.
Delivered in a blended format with live online sessions and a campus immersion at IIM Visakhapatnam, the curriculum balances academic rigour with practical application. Participants engage in case-based learning, hands-on modelling, peer interaction, and sessions led by expert IIMV faculty. The learning experience empowers professionals to streamline operations, harness analytics for business value, and lead initiatives that enhance organisational competitiveness.
Programme Details

Eligibility Criteria
- Graduates (10+2+3) from a recognised university (UGC/AICTE/DEC/AIU/State Government/recognised international universities) in any discipline, with a minimum of one year of work experience after graduation. Diplomas are not accepted.
Admission Criteria
- Selections will be based on a detailed candidate profile, including academic record, current designation, salary, roles and responsibilities, and overall job description—presented in the candidate’s own words.
- Applicants must also submit a written statement outlining their “Expectations from the programme.” Applications without this write-up will not be considered.
Assessment
- Module-wise Quizzes – 20%
- Capstone Project (Report & Presentation) – 20%
- Simulation and Case Study Assessment – 20%
- End-of-Course Examination – 40%
Who Should Attend?
- This programme is designed for mid-career operations and supply chain managers, business and data analysts, consultants and transformation leads, as well as early-career engineers and graduates.
About IIM Visakhapatnam
The Indian Institute of Management Visakhapatnam (IIMV) is part of the prestigious IIM family of business schools in India. A new-generation IIM, it was established by the Government of India in September 2015. Under the Indian Institutes of Management Act, 2017, IIMs have been declared Institutions of National Importance, empowered to attain global standards of excellence in management, research, and allied areas of knowledge.
Since its inception, IIM Visakhapatnam has made significant strides in building a strong academic reputation and achieving several key milestones. It has developed rich knowledge resources and modern infrastructure, creating an environment that fosters impactful learning. The institute is home to a vibrant student community with a strong national character, representing 22 states across India. This diverse cohort consistently excels in academics, co-curricular and extracurricular activities, and regularly wins national-level competitions.
IIMV also ranks among the top 10 IIMs in terms of placements and maintains strong ties with leading industry bodies such as the Confederation of Indian Industry (CII). The faculty at the institute all hold PhDs from premier institutions in India and abroad, including IIMs, IITs, and reputed international universities, ensuring a high-quality academic experience for students.
In addition, IIM Visakhapatnam hosts the second-largest cohort of women entrepreneurs under the Women Start-up Programme, an initiative led by IIM Bangalore, its mentor institution. This reflects IIMV’s commitment to fostering innovation, inclusivity, and leadership across sectors.
4.3 ⭐ Rating by Shiksha.com
29th Rank NIRF India Rankings (Management) 2025
19th Rank IIRF Rankings 2025
24th Rank Outlook iCARE Rankings 2022

Pedagogical Methodology
Learning Outcomes
Admission Process
- 1
Eligibility of Applicant
- 2
Application Submission
- 3
Screening & Shortlisting
- 4
Admission & Fee Payment
- 5
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Programme Content
Module 1: Operations Management and Capacity Measurement Essentials
- Process Mapping & Workflow Analysis
- Capacity Planning Methods (Aggregate & Detailed)
- Utilization, Efficiency & Bottleneck Analysis
- Capacity Strategy: Lead, Lag & Match
Module 2: Operational Analytics and AI-Driven Forecasting & Inventory Management
- Classical Forecasting Techniques (Moving Averages, Exponential Smoothing)
- Machine-Learning Models for Demand Prediction
- Inventory Classification (ABC/XYZ) & Reorder Policies
- Multi-Echelon Inventory Optimization
- Simulation combined for modules 1 & 2
Module 3: Strategic Operations Management
- Aligning Operations Strategy with Business Objectives
- Competitive Priorities: Cost, Quality, Flexibility, Delivery
- Process Choice & Technology Decisions
- Strategic Sourcing & Make-vs-Buy Analysis (outsourcing decision)
Module 4: Operations Management for Projects and Services
- Project Lifecycle & Delivery Models
- Service Blueprinting & Capacity Allocation
- Scheduling & Queue Management in Services
- Service Quality & Customer Experience Metrics
Module 5: Digital Supply Chain and Logistics Analytics
- End-to-End Supply-Chain Digitization
- Network Design & Inventory Location Analytics
- Transportation Modeling & Route Optimization
- Real-Time Visibility & Traceability Tools
- Simulation for modules 3 & 5
Module 6: Quality Management and Analytics, six sigma & Process control
- Six Sigma Principles & DMAIC Roadmap
- Statistical Process Control (Control Charts)
- Warranty design and product recall management
- Measurement System Analysis & Capability Indices
- Root Cause Analysis (Fishbone, 5 Whys)
- Minitab software for quality assessment
Module 7: Operational Excellence & Continuous Improvement
- Lean Principles & Waste (Muda) Identification
- Value-Stream Mapping & Kaizen Events
- Pull Systems & Kanban Implementation
- Integrating Lean with Six Sigma (Lean Sigma)
Module 8: Intelligent Operations: Industry 4.0 & Beyond
- Industry 4.0 Technologies Overview
- IoT-Enabled Monitoring & Predictive Maintenance
- Smart Factory Layout & Cyber-Physical Systems
- Service Robotics & Automation Applications
- Case study
Module 9: Sustainable Operations, Risk and Resilience Measurement
- Sustainability Metrics & Triple-Bottom-Line KPIs
- Operational Risk Identification & Quantification
- Resilience Frameworks & Business Continuity Planning
- Circular Operations & Closed-Loop Supply Chains
Module 10: Strategic Sourcing & Partner Ecosystem Management
- Strategic Sourcing & Supplier Market Analysis
- Supplier Selection Models & Scorecards
- Contract Negotiation & Relationship Management
- Supplier Development & Performance Improvement
- Case study
Module 11: New Product Development and Process Improvement
- NPD Frameworks
- Cross-Functional Team Collaboration
- Process Mapping & Redesign Techniques
- Pilot Testing & Process Validation
Module 12: Technology-Intensive Operations (Gen AI, Blockchain, Digital Twin, Robotics)
- Generative AI for Demand & Capacity Planning
- Blockchain for Transparency & Immutable Records
- Digital Twin Modeling & What-If Simulations
- Robotic Process Automation in Operations
Module 13: Project Planning & Management
- Project Chartering & Scope Definition
- Scheduling Techniques: PERT/CPM & Gantt Charts
- Resource Leveling & Allocation Strategies
- Risk Management & Mitigation Plans
Module 14: E-Commerce and Quick Commerce Operations Management
- Last-Mile Delivery Models & Dark-Store Strategies
- Fulfillment Center Layout & Slotting Optimization
- Dynamic Pricing & Real-Time Order Promise
- Omni-Channel Integration & Returns Management
- Case study
Module 15: Business Process Management (BPM) & Process Automation
- BPM Concepts, Lifecycle & Governance Frameworks
- Process Modelling Using BPMN & Identification of Bottlenecks
- Introduction to Process Mining & Discovery from Event Logs
- Identifying Automation Opportunities & Basics of RPA in Operations
- Change Management & Stakeholder Engagement in BPM Initiatives
Module 16: Financial & Business Operations Analytics
- Linking Operational KPIs to Financial Outcomes (Cost-to-Serve, Margin Analysis)
- Budgeting, Cost Allocation & Variance Analysis for Operations Functions
- Working Capital Optimization: Inventory, Receivables & Payables Levers
- Profitability Analysis by Product, Customer Segment & Channel
- Designing Integrated Financial–Operational Dashboards for Decision-Making
Module 17: Agile Operations & Product-Led Organizations
- Agile Principles for Non-IT Operations Environments
- Scrum, Kanban & Hybrid Models for Operations and Service Teams
- OKRs and Metrics for Agile Operations & Continuous Delivery of Value
- Integrating Customer Feedback Loops into Operational Processes
- Case Studies from SaaS, Start-Ups & Digital-First Businesses
Module 18: GenAI Applications in Operations
- Overview of Generative AI Capabilities for Operations & Supply Chains
- Use Cases: Enhanced Demand Forecasting, Scheduling, and Scenario Planning
- GenAI for Knowledge Management, SOP Creation & Decision Support
- Prompt Design, Output Evaluation & Risk Management (Bias, Hallucination, Compliance)
- Hands-On Labs: Applying No-Code/Low-Code GenAI Tools to Operational Data
Programme Fee Details

- Easy EMI Options Available*
Application Fee
INR 1500 + GSTTotal Programme Fee
(Excluding Application Fee)
Alumni Fee
(Optional)
Instalment Pattern

- Payments must be made within two weeks of the due date to avoid late penalties or disruption to programme participation.
Instalment 1
INR 60,000 + GST(As mentioned in the offer letter)
Instalment 2
INR 60,000 + GST(15th January, 2027)
Instalment 3
INR 60,000 + GST(15th March, 2027)
Programme Director
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Start Referring Today! Start Referring Today!Frequently Asked Questions
The campus immersion is planned towards the end of the programme, subject to the institute’s guidelines and the minimum number of participants required.
Participants will gain practical exposure to widely used tools, including:
- Microsoft Excel
- Microsoft Power BI
- Python
- ChatGPT
- Claude
The curriculum includes globally recognised Harvard Business Publishing (HBR) case studies along with original business cases developed by IIM Visakhapatnam faculty, enabling participants to analyse real-world business and operations challenges.
The programme includes both individual and group-based projects, enabling participants to build independent problem-solving capabilities while strengthening teamwork and collaboration skills.
Yes. Projects are designed around practical business scenarios and contemporary industry challenges, helping participants apply their learning in real-world contexts.




