Curriculum Overview
The B.Tech Operations program at Brd College of Management and Sciences is meticulously structured to ensure a seamless progression from foundational knowledge to advanced specialization. The curriculum spans eight semesters, with each semester designed to build upon the previous one while introducing new challenges and opportunities for learning.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | MAT101 | Mathematics for Engineers | 3-1-0-4 | - |
| 1 | CSE101 | Introduction to Programming | 2-0-2-3 | - |
| 1 | ENG102 | Engineering Drawing & Graphics | 1-0-3-2 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | PHY201 | Thermodynamics & Heat Transfer | 3-1-0-4 | PHY101 |
| 2 | MAT201 | Statistics and Probability | 3-1-0-4 | MAT101 |
| 2 | CSE201 | Data Structures & Algorithms | 2-0-2-3 | CSE101 |
| 2 | ENG202 | Materials Science and Engineering | 3-1-0-4 | - |
| 2 | ENG203 | Systems Thinking & Modeling | 2-0-2-3 | - |
| 3 | ENG301 | Operations Research I | 3-1-0-4 | ENG201, MAT201 |
| 3 | ENG302 | Supply Chain Fundamentals | 3-1-0-4 | - |
| 3 | MAT301 | Linear Algebra & Optimization | 3-1-0-4 | MAT201 |
| 3 | CSE301 | Database Systems | 2-0-2-3 | CSE201 |
| 3 | ENG303 | Process Design Principles | 3-1-0-4 | ENG202 |
| 3 | ENG304 | Quality Control & Assurance | 2-0-2-3 | - |
| 4 | ENG401 | Operations Research II | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Logistics and Transportation | 3-1-0-4 | ENG302 |
| 4 | MAT401 | Probability Distributions & Stochastic Processes | 3-1-0-4 | MAT301 |
| 4 | CSE401 | Web Technologies and Applications | 2-0-2-3 | CSE301 |
| 4 | ENG403 | Project Management & Risk Analysis | 3-1-0-4 | - |
| 4 | ENG404 | Service Operations | 2-0-2-3 | - |
| 5 | ENG501 | Digital Operations & Automation | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Sustainability in Operations | 3-1-0-4 | - |
| 5 | MAT501 | Advanced Mathematical Modeling | 3-1-0-4 | MAT401 |
| 5 | CSE501 | Machine Learning for Operations | 2-0-2-3 | CSE401 |
| 5 | ENG503 | Manufacturing Systems Engineering | 3-1-0-4 | ENG303 |
| 5 | ENG504 | Business Process Reengineering | 2-0-2-3 | - |
| 6 | ENG601 | Advanced Analytics in Operations | 3-1-0-4 | ENG501 |
| 6 | ENG602 | Supply Chain Risk Management | 3-1-0-4 | ENG402 |
| 6 | MAT601 | Simulation & Modeling Techniques | 3-1-0-4 | MAT501 |
| 6 | CSE601 | Data Science and Big Data Analytics | 2-0-2-3 | CSE501 |
| 6 | ENG603 | Operations Strategy & Innovation | 3-1-0-4 | - |
| 6 | ENG604 | Capstone Project I | 2-0-2-3 | - |
| 7 | ENG701 | Strategic Operations Management | 3-1-0-4 | ENG601 |
| 7 | ENG702 | Ethics in Business & Engineering | 2-0-2-3 | - |
| 7 | MAT701 | Statistical Inference and Decision Theory | 3-1-0-4 | MAT601 |
| 7 | CSE701 | Cloud Computing for Operations | 2-0-2-3 | CSE601 |
| 7 | ENG703 | Operations Leadership & Communication | 2-0-2-3 | - |
| 7 | ENG704 | Capstone Project II | 2-0-2-3 | ENG604 |
| 8 | ENG801 | Industry Internship & Thesis | 0-0-6-9 | ENG701 |
Advanced Departmental Electives
Departmental electives in the Operations program are designed to deepen students' understanding of specialized areas within the field. Here are descriptions of some advanced courses:
- Machine Learning for Operations: This course focuses on applying machine learning techniques to operational challenges such as demand forecasting, predictive maintenance, and automated decision-making systems. Students learn to use tools like Python, TensorFlow, and scikit-learn to analyze large datasets and develop intelligent models.
- Supply Chain Risk Management: This elective explores the identification, assessment, and mitigation of risks in global supply chains. Topics include geopolitical instability, natural disasters, cyber threats, and supplier failures. Students engage in case studies from real-world scenarios and develop risk management frameworks.
- Digital Operations & Automation: The course introduces students to digital transformation strategies in operations, including robotics, AI, IoT, and blockchain technologies. It covers implementation challenges, benefits, and future trends in automated operations.
- Service Operations: This subject examines the design, delivery, and improvement of services across industries such as healthcare, finance, and telecommunications. Students learn service blueprinting, queuing theory, and customer experience mapping techniques.
- Operations Strategy & Innovation: Focused on strategic thinking in operations, this course helps students understand how to align operational capabilities with business objectives. It includes topics like innovation management, lean thinking, and competitive advantage through operational excellence.
- Sustainability in Operations: This course explores sustainable practices in manufacturing and service delivery, including circular economy principles, green logistics, carbon footprint reduction, and waste minimization strategies.
- Business Process Reengineering: Students study methodologies for redesigning business processes to achieve dramatic improvements in performance. The course covers BPMN notation, process modeling tools, and change management techniques.
- Operations Leadership & Communication: Designed to prepare students for leadership roles, this course emphasizes communication skills, team dynamics, ethical decision-making, and strategic planning within operational contexts.
Project-Based Learning Philosophy
Brd College promotes a project-based learning approach throughout the Operations program. Mini-projects are introduced in earlier semesters to build foundational skills, while final-year capstone projects offer students the opportunity to apply advanced knowledge to real-world problems.
The structure of mini-projects involves selecting a relevant problem from industry or academia, working in small teams, and presenting findings to faculty mentors. These projects are evaluated based on technical accuracy, creativity, teamwork, and presentation skills.
Final-year thesis/capstone projects allow students to explore research areas aligned with their interests and career goals. Students select a mentor from the faculty, propose a research question or practical application, and complete a substantial piece of work over two semesters. The evaluation criteria include originality, methodology, impact, and defense presentation.
Students are encouraged to collaborate with industry partners on these projects, gaining exposure to real-world challenges and enhancing their employability.