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Fees
₹7,50,000
Placement
93.5%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
Fees
₹7,50,000
Placement
93.5%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
Seats
300
Students
1,200
Seats
300
Students
1,200
The engineering curriculum at Om Sterling Global University Hisar is designed to provide a balanced mix of theoretical knowledge and practical experience. The program spans eight semesters, with each semester consisting of core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG104 | Introduction to Engineering Design | 2-0-2-3 | - |
| 1 | ENG105 | Computer Programming | 3-1-0-4 | - |
| 1 | ENG106 | Engineering Graphics & Design | 2-0-2-3 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits & Networks | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Thermodynamics & Heat Transfer | 3-1-0-4 | ENG102 |
| 2 | ENG204 | Mechanics of Materials | 3-1-0-4 | ENG102 |
| 2 | ENG205 | Fluid Mechanics & Hydraulic Machines | 3-1-0-4 | ENG102 |
| 2 | ENG206 | Computer Programming Lab | 0-0-3-2 | ENG105 |
| 3 | ENG301 | Signals & Systems | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Digital Electronics & Logic Design | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Control Systems | 3-1-0-4 | ENG301 |
| 3 | ENG304 | Materials Science & Metallurgy | 3-1-0-4 | ENG103 |
| 3 | ENG305 | Manufacturing Processes | 3-1-0-4 | ENG204 |
| 3 | ENG306 | Engineering Economics & Management | 3-1-0-4 | - |
| 4 | ENG401 | Communication Systems | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Microprocessors & Microcontrollers | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Power Systems | 3-1-0-4 | ENG202 |
| 4 | ENG404 | Structural Analysis | 3-1-0-4 | ENG204 |
| 4 | ENG405 | Heat Transfer & Mass Transfer | 3-1-0-4 | ENG203 |
| 4 | ENG406 | Computer Architecture Lab | 0-0-3-2 | ENG302 |
| 5 | ENG501 | Advanced Mathematics for Engineers | 3-1-0-4 | ENG201 |
| 5 | ENG502 | Machine Learning | 3-1-0-4 | ENG301 |
| 5 | ENG503 | Cybersecurity Fundamentals | 3-1-0-4 | ENG302 |
| 5 | ENG504 | Renewable Energy Technologies | 3-1-0-4 | ENG203 |
| 5 | ENG505 | Biomedical Instrumentation | 3-1-0-4 | ENG301 |
| 5 | ENG506 | Advanced Control Systems | 3-1-0-4 | ENG303 |
| 6 | ENG601 | Embedded Systems | 3-1-0-4 | ENG402 |
| 6 | ENG602 | Big Data Analytics | 3-1-0-4 | ENG501 |
| 6 | ENG603 | Industrial Robotics | 3-1-0-4 | ENG303 |
| 6 | ENG604 | Smart Grid Integration | 3-1-0-4 | ENG403 |
| 6 | ENG605 | Aerospace Engineering Principles | 3-1-0-4 | ENG205 |
| 6 | ENG606 | Research Methodology & Project Planning | 3-1-0-4 | - |
| 7 | ENG701 | Capstone Project I | 3-0-3-6 | ENG502, ENG503 |
| 7 | ENG702 | Internship Preparation | 1-0-0-1 | - |
| 8 | ENG801 | Capstone Project II | 3-0-3-6 | ENG701 |
| 8 | ENG802 | Professional Ethics & Social Responsibility | 3-1-0-4 | - |
The department offers a wide range of advanced elective courses designed to provide students with specialized knowledge and skills in their chosen fields. These courses are taught by leading faculty members who are active researchers in their domains.
This course introduces students to the fundamental concepts of machine learning, including supervised and unsupervised learning algorithms. Students learn how to apply these techniques using Python and TensorFlow. The curriculum covers topics such as neural networks, decision trees, clustering, regression analysis, and reinforcement learning.
This course provides a comprehensive overview of cybersecurity principles and practices. Students explore network security protocols, cryptography, ethical hacking, digital forensics, and secure software development. The course includes hands-on labs that simulate real-world attacks and defense strategies.
This elective focuses on the design and implementation of renewable energy systems. Students study solar photovoltaic systems, wind turbines, hydroelectric generators, and battery storage technologies. The course includes case studies from around the world and emphasizes sustainability and economic feasibility.
This course explores the application of engineering principles in medical devices and diagnostics. Students learn about sensors, signal processing, bioelectronics, and medical imaging techniques. The curriculum includes projects involving patient monitoring systems and diagnostic equipment design.
This elective introduces students to industrial robotics and automation. Topics include robot kinematics, control systems, sensor integration, and programming languages used in robotics. Students work on projects involving robotic arms, autonomous vehicles, and manufacturing automation systems.
This course covers the design and development of embedded systems for real-time applications. Students learn about microcontrollers, operating systems, real-time programming, and hardware-software co-design. The curriculum includes practical labs involving Arduino and Raspberry Pi platforms.
This course teaches students how to analyze large datasets using statistical methods and computational tools. Students learn about data mining, visualization, predictive modeling, and cloud computing platforms like AWS and Google Cloud. The course includes projects involving real-world datasets from various industries.
This elective delves into modern control theory and its applications in engineering systems. Students study state-space representation, optimal control, robust control, and adaptive control. The curriculum includes simulations using MATLAB and Simulink tools.
This course focuses on the integration of renewable energy sources into existing power grids. Students learn about grid stability, load forecasting, demand response, and smart meter technologies. The course includes field visits to local power stations and case studies from global utilities.
This elective provides an introduction to aerospace engineering concepts, including aerodynamics, propulsion systems, structural analysis, and flight dynamics. Students engage in projects involving model aircraft design and wind tunnel testing.
Om Sterling Global University Hisar strongly believes that project-based learning is essential for developing competent engineers who can apply their knowledge to solve real-world problems. The program integrates project work throughout the curriculum, with students working on both mini-projects and capstone projects.
Mini projects are assigned during the second year of study, allowing students to explore specific engineering challenges in small teams. These projects typically last for 2-3 months and involve problem identification, literature review, experimental design, data collection, and solution presentation. Students receive guidance from faculty mentors and participate in peer review sessions.
The final-year thesis or capstone project is a significant component of the program, providing students with an opportunity to demonstrate their mastery of engineering principles through independent research or innovative design. Students choose a topic aligned with their interests and career goals, often in collaboration with industry partners or faculty members.
Students are encouraged to select projects based on their interests, but they must align with departmental requirements and available resources. Faculty mentors are assigned based on the project domain, ensuring that students receive expert guidance throughout their research journey. Regular progress meetings and milestone evaluations help ensure timely completion of the project.
