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Fees
₹3,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Fees
₹3,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Seats
120
Students
120
Seats
120
Students
120
The B.Tech Operations program at Department of Management Studies, Kumaun University Campus Bhimtal is structured over eight semesters, with a blend of core engineering subjects, departmental electives, science electives, and practical lab sessions. The curriculum is designed to provide a comprehensive understanding of operations principles while fostering innovation and critical thinking.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-0-0-3 | None |
| 1 | ENG102 | Physics for Engineering | 3-0-0-3 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-0-0-3 | None |
| 1 | CSE101 | Introduction to Programming | 2-0-2-2 | None |
| 1 | MAT101 | Basic Statistics | 2-0-0-2 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-0-0-3 | ENG101 |
| 2 | ENG202 | Thermodynamics | 3-0-0-3 | ENG102 |
| 2 | ENG203 | Fluid Mechanics | 3-0-0-3 | ENG102 |
| 2 | CSE201 | Data Structures and Algorithms | 3-0-0-3 | CSE101 |
| 2 | MAT201 | Probability & Statistics | 3-0-0-3 | MAT101 |
| 3 | ENG301 | Operations Research | 3-0-0-3 | ENG201 |
| 3 | ENG302 | Industrial Engineering | 3-0-0-3 | ENG202 |
| 3 | ENG303 | Material Science | 3-0-0-3 | ENG103 |
| 3 | CSE301 | Database Systems | 3-0-0-3 | CSE201 |
| 3 | MAT301 | Decision Analysis | 2-0-0-2 | MAT201 |
| 4 | ENG401 | Supply Chain Management | 3-0-0-3 | ENG301 |
| 4 | ENG402 | Quality Control & Assurance | 3-0-0-3 | ENG302 |
| 4 | ENG403 | Process Planning and Design | 3-0-0-3 | ENG301 |
| 4 | CSE401 | Web Technologies | 2-0-2-2 | CSE301 |
| 4 | MAT401 | Regression Analysis | 2-0-0-2 | MAT301 |
| 5 | ENG501 | Lean Manufacturing | 3-0-0-3 | ENG401 |
| 5 | ENG502 | Digital Operations | 3-0-0-3 | ENG402 |
| 5 | ENG503 | Project Management | 3-0-0-3 | ENG403 |
| 5 | CSE501 | Artificial Intelligence | 3-0-0-3 | CSE401 |
| 5 | MAT501 | Forecasting Methods | 2-0-0-2 | MAT401 |
| 6 | ENG601 | Six Sigma | 3-0-0-3 | ENG501 |
| 6 | ENG602 | Service Operations | 3-0-0-3 | ENG502 |
| 6 | ENG603 | Operations Analytics | 3-0-0-3 | ENG503 |
| 6 | CSE601 | Mobile Application Development | 2-0-2-2 | CSE501 |
| 6 | MAT601 | Simulation Modeling | 2-0-0-2 | MAT501 |
| 7 | ENG701 | Advanced Supply Chain | 3-0-0-3 | ENG601 |
| 7 | ENG702 | Global Operations | 3-0-0-3 | ENG602 |
| 7 | ENG703 | Operations Strategy | 3-0-0-3 | ENG603 |
| 7 | CSE701 | Big Data Analytics | 3-0-0-3 | CSE601 |
| 7 | MAT701 | Multi-Criteria Decision Making | 2-0-0-2 | MAT601 |
| 8 | ENG801 | Final Year Project | 4-0-0-4 | ENG701 |
| 8 | ENG802 | Industry Internship | 2-0-0-2 | ENG702 |
| 8 | ENG803 | Capstone Seminar | 1-0-0-1 | ENG703 |
| 8 | CSE801 | Cloud Computing | 2-0-0-2 | CSE701 |
| 8 | MAT801 | Research Methodology | 2-0-0-2 | MAT701 |
Operations Research: This course introduces students to mathematical modeling techniques used in decision-making processes. Topics include linear programming, integer programming, network flows, and dynamic programming. The course emphasizes the application of these methods to solve real-world operational problems.
Supply Chain Management: Designed to equip students with tools for managing complex supply chains effectively, this elective covers procurement strategies, inventory management, logistics coordination, and vendor relationship management. Students learn how to optimize costs while ensuring timely delivery.
Quality Control & Assurance: This course explores statistical methods and quality control techniques used in manufacturing and service industries. It covers topics such as control charts, process capability analysis, design of experiments (DOE), and quality improvement methodologies like Six Sigma.
Process Planning and Design: Students are taught how to plan and design efficient production processes using modern tools and techniques. The course includes topics on work measurement, ergonomics, facility layout, material handling systems, and automation technologies.
Lean Manufacturing: Focused on eliminating waste in manufacturing environments, this elective teaches students the fundamentals of lean thinking, value stream mapping, 5S methodology, Kanban systems, and continuous improvement practices.
Digital Operations: This course examines how digital technologies such as IoT, AI, and cloud computing are transforming traditional operations. Students explore topics like smart factories, predictive maintenance, real-time monitoring, and automation frameworks.
Project Management: A comprehensive overview of project management principles, this elective covers scope definition, risk assessment, resource allocation, timeline development, and stakeholder communication strategies. It includes practical applications through case studies and simulations.
Operations Analytics: Combining data science with operational decision-making, this course focuses on using analytics tools to extract insights from operational data. Students learn about regression modeling, time series forecasting, clustering algorithms, and optimization techniques applied to operations problems.
Six Sigma: This elective provides an in-depth understanding of Six Sigma methodologies, including DMAIC (Define, Measure, Analyze, Improve, Control) framework. Students gain hands-on experience in conducting process improvement projects using statistical tools.
Service Operations: Tailored for students interested in service industries, this course addresses challenges related to service delivery, customer satisfaction, service quality measurement, and service system design. It includes real-world examples from sectors like healthcare, hospitality, and finance.
Our department strongly believes in project-based learning as a cornerstone of effective education. Projects are designed to integrate theoretical knowledge with practical application, encouraging critical thinking and problem-solving skills among students.
The structure of our projects includes both mini-projects (semester-long) and final-year capstone projects (full academic year). Mini-projects are typically undertaken in small groups under faculty supervision, focusing on specific operational challenges faced by real organizations. Final-year projects involve extensive research, data collection, and implementation of innovative solutions to complex problems.
Project selection is guided by student interests, industry demands, and faculty expertise. Each project team selects a mentor from among our experienced faculty members who guide them throughout the process. Evaluation criteria include innovation, feasibility, impact, presentation quality, and documentation standards.
