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Pune, Maharashtra, India

Duration

2 Years

Operations Management

Sanghvi Institute of Management and Science PGDM
Duration
2 Years
Operations Management PG OFFLINE

Duration

2 Years

Operations Management

Sanghvi Institute of Management and Science PGDM
Duration
Apply

Fees

₹5,00,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
2 Years
Operations Management
PG
OFFLINE

Fees

₹5,00,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

Seats

120

Students

120

ApplyCollege

Seats

120

Students

120

Curriculum

Comprehensive Course Structure

The Operations Management program at Sanghvi Institute of Management and Science PGDM follows a structured approach across eight semesters, blending foundational knowledge with advanced specialization. Each semester includes core courses, departmental electives, science electives, and practical lab sessions designed to provide holistic learning experiences.

Semester Course Code Course Title Credit (L-T-P-C) Pre-requisites
1 OM101 Introduction to Operations Management 3-0-0-3 -
1 OM102 Business Statistics and Probability 3-0-0-3 -
1 OM103 Principles of Management 3-0-0-3 -
1 OM104 Operations Research Fundamentals 3-0-0-3 OM102
1 OM105 Computer Applications in Business 3-0-0-3 -
1 OM106 Operations Management Lab 0-0-2-2 -
2 OM201 Production Planning and Control 3-0-0-3 OM104
2 OM202 Inventory Management 3-0-0-3 OM104
2 OM203 Quality Management Systems 3-0-0-3 -
2 OM204 Supply Chain Management 3-0-0-3 -
2 OM205 Financial Accounting and Analysis 3-0-0-3 -
2 OM206 Operations Management Lab II 0-0-2-2 OM106
3 OM301 Process Design and Analysis 3-0-0-3 OM201
3 OM302 Capacity Planning and Scheduling 3-0-0-3 OM201
3 OM303 Service Operations Management 3-0-0-3 OM204
3 OM304 Operations Strategy 3-0-0-3 -
3 OM305 Research Methodology 3-0-0-3 -
3 OM306 Operations Management Lab III 0-0-2-2 OM206
4 OM401 Supply Chain Analytics 3-0-0-3 OM204
4 OM402 Lean Operations and Process Improvement 3-0-0-3 OM301
4 OM403 Sustainable Operations 3-0-0-3 -
4 OM404 Operations Consulting 3-0-0-3 OM304
4 OM405 Data Analytics for Operations 3-0-0-3 OM102
4 OM406 Operations Management Lab IV 0-0-2-2 OM306
5 OM501 Advanced Operations Research 3-0-0-3 OM104
5 OM502 Project Management 3-0-0-3 -
5 OM503 Manufacturing Systems 3-0-0-3 -
5 OM504 Operations Innovation and Entrepreneurship 3-0-0-3 -
5 OM505 Capstone Project I 0-0-4-6 -
6 OM601 Operations Strategy Implementation 3-0-0-3 OM404
6 OM602 Global Supply Chain Management 3-0-0-3 OM401
6 OM603 Operations Risk Management 3-0-0-3 -
6 OM604 Operations Leadership and Communication 3-0-0-3 -
6 OM605 Capstone Project II 0-0-4-6 OM505
7 OM701 Operations Ethics and Social Responsibility 3-0-0-3 -
7 OM702 Digital Transformation in Operations 3-0-0-3 -
7 OM703 Advanced Data Analytics and AI Applications 3-0-0-3 OM405
7 OM704 Industry Internship 0-0-0-12 -
8 OM801 Operations Management Capstone Thesis 0-0-0-12 OM605

Advanced Departmental Elective Courses

The following advanced departmental elective courses are offered to deepen students' understanding of specialized areas within Operations Management:

  • Supply Chain Analytics: This course explores the application of statistical and analytical techniques in managing supply chains. Students learn about demand forecasting, inventory optimization, and performance measurement using tools like R, Python, and Excel.
  • Lean Operations and Process Improvement: Focused on waste elimination, this course introduces students to lean principles, value stream mapping, and continuous improvement methodologies. Real-world case studies from manufacturing and service sectors are analyzed to reinforce concepts.
  • Sustainable Operations: Addressing environmental sustainability in business operations, this course covers topics such as green supply chains, circular economy models, and carbon footprint reduction strategies.
  • Operations Consulting: Designed for students interested in consulting careers, this course teaches project management, stakeholder engagement, and business transformation frameworks. Students work on client projects under faculty supervision.
  • Data Analytics for Operations: This course integrates advanced data analytics with operational decision-making. Students gain hands-on experience using machine learning algorithms to predict outcomes and optimize operations.
  • Project Management: Comprehensive coverage of project lifecycle management, including initiation, planning, execution, monitoring, and closure phases. Emphasis is placed on risk management, resource allocation, and team coordination.
  • Manufacturing Systems: Students study various manufacturing systems, from traditional batch production to modern flexible manufacturing units. The course includes practical sessions in simulation software to model and analyze production processes.
  • Operations Innovation and Entrepreneurship: This elective encourages innovation by exposing students to new business models and entrepreneurial ventures in operational fields. Guest speakers from startups provide insights into scaling operations effectively.
  • Global Supply Chain Management: Examines global supply chain challenges including geopolitical risks, cultural differences, and international regulations. Students develop strategies for managing cross-border logistics and sourcing.
  • Operations Risk Management: Focuses on identifying, assessing, and mitigating operational risks. Topics include business continuity planning, crisis management, and regulatory compliance in operational environments.

Project-Based Learning Philosophy

Sanghvi's Operations Management program embraces project-based learning as a core pedagogical approach. The philosophy behind this method is to bridge the gap between theory and practice by allowing students to apply classroom knowledge in real-world scenarios.

The mini-projects undertaken during the first three semesters are designed to reinforce fundamental concepts through hands-on experience. These projects often involve working with actual datasets, conducting surveys, or implementing small-scale operational improvements within simulated environments.

The final-year capstone project is a significant component of the program. Students select topics aligned with their interests and career goals, typically involving collaboration with industry partners or academic researchers. Projects are supervised by faculty mentors who guide students through research methodologies, data analysis, and presentation skills development.

Evaluation criteria for projects include innovation, technical depth, relevance to current industry challenges, and clarity of communication. Students must present their findings both in written reports and oral presentations, ensuring comprehensive skill development across multiple domains.

Project selection is facilitated through a structured process where students submit proposals outlining their intended scope, methodology, and expected outcomes. Faculty committees review these proposals to ensure alignment with academic rigor and industry relevance.