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Fees
₹2,50,000
Placement
93.0%
Avg Package
₹5,00,000
Highest Package
₹8,50,000
Fees
₹2,50,000
Placement
93.0%
Avg Package
₹5,00,000
Highest Package
₹8,50,000
Seats
150
Students
300
Seats
150
Students
300
The Bachelor of Computer Science program at Technocrats Institute of Technology is structured over eight semesters, with a balanced mix of core courses, departmental electives, science electives, and practical labs. The curriculum emphasizes both theoretical knowledge and hands-on experience, preparing students for industry roles and further studies.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | CS101 | Introduction to Programming | 3-0-2-4 | - |
| 1 | CS102 | Mathematics for Computer Science | 3-0-2-4 | - |
| 1 | CS103 | Physics for Engineers | 3-0-2-4 | - |
| 1 | CS104 | Basic Electronics | 3-0-2-4 | - |
| 1 | CS105 | English for Technical Communication | 3-0-2-4 | - |
| 2 | CS201 | Data Structures and Algorithms | 3-0-2-4 | CS101 |
| 2 | CS202 | Database Management Systems | 3-0-2-4 | CS101 |
| 2 | CS203 | Computer Networks | 3-0-2-4 | CS101 |
| 2 | CS204 | Operating Systems | 3-0-2-4 | CS101 |
| 2 | CS205 | Software Engineering | 3-0-2-4 | CS101 |
| 3 | CS301 | Artificial Intelligence | 3-0-2-4 | CS201, CS202 |
| 3 | CS302 | Cybersecurity Fundamentals | 3-0-2-4 | CS203 |
| 3 | CS303 | Mobile App Development | 3-0-2-4 | CS201, CS205 |
| 3 | CS304 | Data Science and Analytics | 3-0-2-4 | CS201, CS202 |
| 3 | CS305 | Cloud Computing | 3-0-2-4 | CS203 |
| 4 | CS401 | Machine Learning | 3-0-2-4 | CS301, CS304 |
| 4 | CS402 | Network Security | 3-0-2-4 | CS302 |
| 4 | CS403 | DevOps and CI/CD | 3-0-2-4 | CS205 |
| 4 | CS404 | Human-Computer Interaction | 3-0-2-4 | CS303 |
| 4 | CS405 | Internet of Things | 3-0-2-4 | CS305 |
| 5 | CS501 | Distributed Systems | 3-0-2-4 | CS401 |
| 5 | CS502 | Big Data Technologies | 3-0-2-4 | CS404 |
| 5 | CS503 | Advanced Cryptography | 3-0-2-4 | CS402 |
| 5 | CS504 | Embedded Systems | 3-0-2-4 | CS405 |
| 5 | CS505 | Research Methodology | 3-0-2-4 | - |
| 6 | CS601 | Capstone Project I | 0-0-6-6 | CS505 |
| 6 | CS602 | Capstone Project II | 0-0-6-6 | CS601 |
| 7 | CS701 | Internship | 0-0-8-8 | CS602 |
| 8 | CS801 | Final Year Thesis | 0-0-8-8 | CS701 |
The following are detailed descriptions of advanced departmental elective courses offered in the program:
This course introduces students to the fundamentals of AI, including problem-solving techniques, search algorithms, knowledge representation, reasoning, and machine learning. Students explore neural networks, deep learning frameworks, NLP, computer vision, and reinforcement learning through hands-on projects.
This course covers essential topics in cybersecurity such as cryptography, network security, ethical hacking, incident response, and risk management. Students gain practical experience in penetration testing, vulnerability assessment, and secure system design using industry-standard tools.
Focused on building cross-platform mobile applications, this course covers UI/UX design principles, backend integration, API development, and app store publishing. Students use frameworks like React Native, Flutter, and Xamarin to develop functional apps for iOS and Android.
This course combines statistical analysis, data mining, visualization techniques, and machine learning for extracting meaningful patterns from large datasets. Students gain proficiency in Python, R, SQL, Hadoop, Spark, and cloud-based analytics platforms.
Students learn about cloud infrastructure, virtualization technologies, distributed computing models, and scalability challenges. The course includes hands-on labs on AWS, Azure, GCP, Kubernetes, Docker, and container orchestration.
This advanced course delves into supervised and unsupervised learning techniques, neural networks, deep learning architectures, and reinforcement learning. Students implement algorithms using TensorFlow and PyTorch and apply them to real-world datasets.
Building on foundational cybersecurity concepts, this course explores advanced topics such as firewall design, intrusion detection systems, secure network protocols, and digital forensics. Students engage in simulation exercises and ethical hacking labs.
This course focuses on automation, continuous integration, deployment strategies, and DevOps practices. Students learn about Jenkins, GitLab CI, Docker, Kubernetes, Ansible, and cloud platforms to streamline software development lifecycles.
This course emphasizes user experience design principles, usability testing, prototyping tools, accessibility standards, and cognitive psychology in UI design. Students conduct user research and develop interactive interfaces for diverse applications.
Students explore the integration of hardware and software in connected devices. The course covers sensor integration, real-time systems, wireless communication protocols, embedded programming, and smart city applications.
The department believes that practical experience is crucial for mastering computer science concepts. Project-based learning forms a central part of the curriculum, with mandatory mini-projects in each semester and a final-year thesis/capstone project.
Mini-Projects: These are short-term projects completed during the second and third years, focusing on specific areas of interest or emerging technologies. Students work in teams under faculty supervision, presenting their findings to peers and instructors.
Final-Year Thesis/Capstone Project: In the sixth and seventh semesters, students select a project topic aligned with their interests or industry needs. They collaborate closely with faculty mentors, conduct research, develop prototypes, and submit comprehensive reports. The project culminates in a presentation to an evaluation panel.
The selection process involves submitting proposals, discussing feasibility with potential mentors, and aligning projects with available resources and industry demands. Faculty members guide students throughout the process, ensuring academic rigor and professional development.
