Search and navigate to colleges and courses
Apply
Scholarships & exams
Fees
₹4,50,000
Placement
92.0%
Avg Package
₹6,00,000
Highest Package
₹12,00,000
Fees
₹4,50,000
Placement
92.0%
Avg Package
₹6,00,000
Highest Package
₹12,00,000
Seats
120
Students
300
Seats
120
Students
300
The Computer Science program at Shubham University Bhopal is structured to provide students with a comprehensive and progressive learning experience over four years. The curriculum is divided into core courses, departmental electives, science electives, and lab courses, with each semester building upon the previous one to ensure a solid foundation and advanced specialization.
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| CS101 | Introduction to Programming | 3-0-0-3 | None |
| CS102 | Mathematics for Computer Science | 3-0-0-3 | None |
| CS103 | Problem Solving Techniques | 2-0-0-2 | None |
| CS104 | Computer Fundamentals | 2-0-0-2 | None |
| CS105 | Introduction to Data Structures | 3-0-0-3 | CS101 |
| CS106 | Engineering Graphics | 2-0-0-2 | None |
| CS107 | English for Technical Communication | 2-0-0-2 | None |
| CS108 | Lab: Programming Fundamentals | 0-0-3-1 | CS101 |
| CS109 | Lab: Data Structures | 0-0-3-1 | CS105 |
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| CS201 | Object-Oriented Programming | 3-0-0-3 | CS101 |
| CS202 | Database Management Systems | 3-0-0-3 | CS105 |
| CS203 | Computer Architecture | 3-0-0-3 | CS104 |
| CS204 | Operating Systems | 3-0-0-3 | CS201 |
| CS205 | Algorithms | 3-0-0-3 | CS105 |
| CS206 | Software Engineering Principles | 3-0-0-3 | CS201 |
| CS207 | Web Technologies | 3-0-0-3 | CS201 |
| CS208 | Lab: OOP | 0-0-3-1 | CS201 |
| CS209 | Lab: Database Management Systems | 0-0-3-1 | CS202 |
| CS210 | Lab: Algorithms | 0-0-3-1 | CS205 |
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| CS301 | Machine Learning | 3-0-0-3 | CS205 |
| CS302 | Computer Networks | 3-0-0-3 | CS203 |
| CS303 | Compiler Design | 3-0-0-3 | CS205 |
| CS304 | Artificial Intelligence | 3-0-0-3 | CS205 |
| CS305 | Security Management | 3-0-0-3 | CS202 |
| CS306 | Data Mining | 3-0-0-3 | CS205 |
| CS307 | Cloud Computing | 3-0-0-3 | CS203 |
| CS308 | Lab: Machine Learning | 0-0-3-1 | CS301 |
| CS309 | Lab: Computer Networks | 0-0-3-1 | CS302 |
| CS310 | Lab: AI | 0-0-3-1 | CS304 |
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| CS401 | Capstone Project | 3-0-0-3 | CS301, CS302, CS304 |
| CS402 | Research Methodology | 3-0-0-3 | CS301 |
| CS403 | Internship | 0-0-0-6 | CS301 |
| CS404 | Advanced Topics in Computer Science | 3-0-0-3 | CS301 |
| CS405 | Specialized Electives | 3-0-0-3 | CS301 |
| CS406 | Project Management | 3-0-0-3 | CS206 |
| CS407 | Professional Ethics | 2-0-0-2 | None |
| CS408 | Lab: Capstone Project | 0-0-3-1 | CS401 |
Advanced departmental electives are designed to provide students with specialized knowledge and skills in their chosen area of interest. These courses are offered in the third and fourth years and are tailored to meet the needs of students pursuing specific career paths or research interests.
This course covers advanced topics in machine learning, including deep learning, reinforcement learning, and natural language processing. Students will gain hands-on experience with popular frameworks such as TensorFlow and PyTorch. The course emphasizes practical implementation and real-world applications.
This course explores the principles and techniques of computer vision, including image processing, object detection, and facial recognition. Students will work with real datasets and develop their own computer vision models using modern tools and libraries.
This course provides an in-depth study of cryptographic algorithms and protocols. Students will learn about symmetric and asymmetric encryption, hash functions, and digital signatures. The course also covers applications in secure communication and blockchain technology.
This course introduces students to big data processing frameworks such as Hadoop and Spark. Students will learn how to process and analyze large datasets using distributed computing techniques. The course emphasizes practical implementation and real-world applications.
This course focuses on the design and architecture of large-scale software systems. Students will learn about design patterns, system scalability, and performance optimization. The course includes hands-on projects where students design and implement software architectures.
This course explores the principles of designing user-friendly interfaces and systems. Students will learn about user experience design, interaction design, and usability testing. The course includes practical projects where students design and evaluate user interfaces.
This course covers advanced topics in network security, including intrusion detection, firewall configuration, and secure network design. Students will learn how to protect networks from threats and attacks using modern security techniques and tools.
This course introduces students to the design and implementation of embedded systems. Students will learn about microcontrollers, real-time operating systems, and hardware-software integration. The course includes practical projects where students build and program embedded devices.
This course explores the design and implementation of IoT systems. Students will learn about sensors, actuators, wireless communication, and cloud integration. The course includes hands-on projects where students build and deploy IoT applications.
This course provides an overview of game development, including game design, graphics programming, and user interaction. Students will learn to use game engines such as Unity and Unreal Engine to create interactive and immersive games.
Project-based learning is a core component of the Computer Science program at Shubham University Bhopal. This approach emphasizes hands-on learning and real-world problem-solving. Students are encouraged to apply theoretical knowledge to practical challenges, working in teams to develop innovative solutions.
Mini-projects are assigned in the second and third years of the program. These projects are designed to reinforce learning and provide students with practical experience. Each project is typically completed over a period of 4-6 weeks and is evaluated based on technical execution, creativity, and presentation.
The final-year thesis or capstone project is a significant undertaking that allows students to demonstrate their expertise in a chosen area of interest. Students work closely with faculty mentors to select a topic, conduct research, and develop a comprehensive solution. The project is typically completed over a period of 6-8 months and includes a written report and a presentation to faculty and industry professionals.
Students are encouraged to select projects that align with their interests and career goals. Faculty mentors are assigned based on the project topic and the student's academic background. The mentorship process includes regular meetings, feedback sessions, and guidance on research and development.
