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Fees
₹8,50,000
Placement
92.0%
Avg Package
₹5,00,000
Highest Package
₹8,00,000
Fees
₹8,50,000
Placement
92.0%
Avg Package
₹5,00,000
Highest Package
₹8,00,000
Seats
120
Students
600
Seats
120
Students
600
The Computer Science program at Saroj International University Lucknow is designed to provide students with a comprehensive understanding of the principles and practices of computer science. The curriculum is structured to build a strong foundation in the first two years, followed by advanced courses in the third and fourth years. The program includes core courses, departmental electives, science electives, and laboratory courses. The curriculum is designed to be flexible and to allow students to explore their interests and to specialize in areas of their choice. The program is structured to provide students with both theoretical knowledge and practical skills that are essential for a successful career in the field of computer science.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | CS101 | Introduction to Computer Science | 3-0-0-3 | None |
| 1 | CS102 | Mathematics for Computer Science | 3-0-0-3 | None |
| 1 | CS103 | Programming Fundamentals | 3-0-0-3 | None |
| 1 | CS104 | Physics for Computer Science | 3-0-0-3 | None |
| 1 | CS105 | English for Technical Communication | 3-0-0-3 | None |
| 1 | CS106 | Computer Laboratory | 0-0-3-1 | None |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS103 |
| 2 | CS202 | Object Oriented Programming | 3-0-0-3 | CS103 |
| 2 | CS203 | Discrete Mathematics | 3-0-0-3 | CS102 |
| 2 | CS204 | Database Systems | 3-0-0-3 | CS103 |
| 2 | CS205 | Computer Organization and Architecture | 3-0-0-3 | CS104 |
| 2 | CS206 | Mathematics for Computer Science II | 3-0-0-3 | CS102 |
| 2 | CS207 | Programming Laboratory | 0-0-3-1 | CS103 |
| 3 | CS301 | Operating Systems | 3-0-0-3 | CS201, CS202 |
| 3 | CS302 | Software Engineering | 3-0-0-3 | CS201, CS202 |
| 3 | CS303 | Computer Networks | 3-0-0-3 | CS201, CS205 |
| 3 | CS304 | Artificial Intelligence | 3-0-0-3 | CS201, CS202 |
| 3 | CS305 | Machine Learning | 3-0-0-3 | CS201, CS202 |
| 3 | CS306 | Mathematics for Computer Science III | 3-0-0-3 | CS206 |
| 3 | CS307 | Software Engineering Laboratory | 0-0-3-1 | CS202 |
| 4 | CS401 | Advanced Data Structures | 3-0-0-3 | CS201 |
| 4 | CS402 | Web Technologies | 3-0-0-3 | CS202 |
| 4 | CS403 | Security and Cryptography | 3-0-0-3 | CS201 |
| 4 | CS404 | Big Data Analytics | 3-0-0-3 | CS201, CS202 |
| 4 | CS405 | Human Computer Interaction | 3-0-0-3 | CS201 |
| 4 | CS406 | Mathematics for Computer Science IV | 3-0-0-3 | CS206 |
| 4 | CS407 | Capstone Project | 0-0-6-3 | CS301, CS302, CS303 |
| 5 | CS501 | Advanced Algorithms | 3-0-0-3 | CS201 |
| 5 | CS502 | Cloud Computing | 3-0-0-3 | CS303 |
| 5 | CS503 | Mobile Computing | 3-0-0-3 | CS303 |
| 5 | CS504 | Internet of Things | 3-0-0-3 | CS303 |
| 5 | CS505 | Computer Graphics | 3-0-0-3 | CS201 |
| 5 | CS506 | Game Development | 3-0-0-3 | CS201 |
| 5 | CS507 | Research Methodology | 3-0-0-3 | CS201 |
| 6 | CS601 | Deep Learning | 3-0-0-3 | CS304 |
| 6 | CS602 | Blockchain Technology | 3-0-0-3 | CS303 |
| 6 | CS603 | Computational Biology | 3-0-0-3 | CS201 |
| 6 | CS604 | Advanced Security | 3-0-0-3 | CS303 |
| 6 | CS605 | Big Data and Analytics | 3-0-0-3 | CS404 |
| 6 | CS606 | Project Management | 3-0-0-3 | CS302 |
| 6 | CS607 | Industry Internship | 0-0-0-3 | CS407 |
| 7 | CS701 | Special Topics in Computer Science | 3-0-0-3 | CS501 |
| 7 | CS702 | Research Project | 0-0-6-6 | CS507 |
| 7 | CS703 | Advanced Capstone Project | 0-0-6-3 | CS407 |
| 8 | CS801 | Final Year Thesis | 0-0-6-6 | CS702 |
| 8 | CS802 | Professional Development | 3-0-0-3 | None |
| 8 | CS803 | Entrepreneurship | 3-0-0-3 | None |
| 8 | CS804 | Internship | 0-0-0-3 | CS607 |
The Computer Science program at Saroj International University Lucknow offers a wide range of advanced departmental electives that allow students to specialize in areas of their choice. These electives are designed to provide students with in-depth knowledge and practical skills in their chosen areas of specialization. The advanced departmental electives include courses in artificial intelligence, machine learning, cybersecurity, data science, software engineering, and computer graphics. The electives are taught by faculty members who are experts in their respective fields and who bring a wealth of experience and knowledge to the classroom.
The Artificial Intelligence and Machine Learning elective course is designed to provide students with a comprehensive understanding of the principles and practices of artificial intelligence and machine learning. The course covers topics such as neural networks, deep learning, natural language processing, and computer vision. Students will learn to develop intelligent systems that can learn and adapt. The course includes hands-on projects that allow students to apply their knowledge to real-world problems.
The Cybersecurity elective course is designed to prepare students for the growing demand for cybersecurity professionals. The course covers topics such as network security, cryptography, ethical hacking, and digital forensics. Students will learn to protect systems and networks from cyber threats. The course includes practical labs that allow students to gain hands-on experience with security tools and techniques.
The Data Science and Analytics elective course is designed to provide students with the skills necessary for the extraction of knowledge from data. The course covers topics such as statistical analysis, data mining, machine learning, and data visualization. Students will learn to analyze large datasets and to extract meaningful insights. The course includes projects that allow students to apply their knowledge to real-world problems.
The Software Engineering elective course is designed to provide students with the skills necessary for the development of large-scale software systems. The course covers topics such as software architecture, testing, project management, and agile development. Students will learn to develop software systems that are reliable, scalable, and maintainable. The course includes practical projects that allow students to apply their knowledge to real-world software development.
The Human-Computer Interaction elective course is designed to focus on the design and evaluation of interactive systems. The course covers topics such as user experience design, usability testing, and human factors in computing. Students will learn to design systems that are user-friendly and effective. The course includes projects that allow students to apply their knowledge to real-world interaction design.
The Computer Graphics and Visualization elective course is designed to provide students with the skills necessary for the creation of visual content. The course covers topics such as 3D modeling, animation, and visual effects. Students will learn to create compelling visual content for a variety of applications. The course includes projects that allow students to apply their knowledge to real-world visual design.
The Internet of Things (IoT) elective course is designed to focus on the development of connected systems. The course covers topics such as embedded systems, wireless networks, and sensor networks. Students will learn to develop systems that can communicate and interact with each other. The course includes practical labs that allow students to gain hands-on experience with IoT technologies.
The Blockchain and Cryptocurrency elective course is designed to provide students with the knowledge necessary for the development of blockchain-based applications. The course covers topics such as blockchain architecture, smart contracts, and cryptocurrency systems. Students will learn to develop secure and decentralized applications. The course includes projects that allow students to apply their knowledge to real-world blockchain development.
The Game Development elective course is designed to focus on the creation of interactive entertainment. The course covers topics such as game design, 3D graphics, and game engines. Students will learn to create engaging and immersive gaming experiences. The course includes projects that allow students to apply their knowledge to real-world game development.
The Computational Biology elective course is designed to provide students with the skills necessary for the application of computer science to biological problems. The course covers topics such as bioinformatics, computational genomics, and systems biology. Students will learn to develop computational tools and methods for biological research. The course includes projects that allow students to apply their knowledge to real-world biological problems.
The department's philosophy on project-based learning is centered on the belief that students learn best when they are actively engaged in solving real-world problems. The approach emphasizes the development of critical thinking, problem-solving, and collaboration skills. The program includes mandatory mini-projects in the second and third years, and a final-year thesis/capstone project in the fourth year. The mini-projects are designed to be challenging and to provide students with the opportunity to apply their knowledge to practical problems. The final-year project is a comprehensive endeavor that allows students to demonstrate their mastery of the field.
The mini-projects are an integral part of the program and are designed to provide students with hands-on experience in solving real-world problems. The projects are typically completed in teams and are supervised by faculty members. The projects are designed to be challenging and to provide students with the opportunity to apply their knowledge to practical problems. The projects are evaluated based on the quality of the solution, the innovation of the approach, and the effectiveness of the team's collaboration.
The final-year thesis/capstone project is the culmination of the student's learning experience. The project is designed to be a comprehensive endeavor that allows students to demonstrate their mastery of the field. The project is supervised by faculty members who are experts in their respective fields. The project is evaluated based on the quality of the research, the innovation of the approach, and the effectiveness of the solution.
Students are encouraged to select projects that align with their interests and career goals. The department provides a wide range of project options that cover various areas of the field. Students are matched with faculty mentors based on their interests and the mentor's expertise. The mentorship process is designed to provide students with guidance and support throughout their project journey.
