B.Tech (Computer Science & Engineering) – Artificial Intelligence
Course Details
| School Name: | School of Engineering |
| Programe: | B.Tech (CSE- Artificial Intelligence) |
| Course Length: | 4 years / 3 years (Lateral Entry) |
| Session Start Date: | August |
| Course Type: | Full Time |
| Eligibility Criteria: | Eligibility: A minimum aggregate of 50% or equivalent in 10+2. Compulsory Subjects: Physics & Mathematics; and anyone of the following: Chemistry, Computer Science. Minimum passing mark is essential in each of the subject. Relaxation in qualification and reservation is as per UGC and State Govt. norms. |
| Programme Fee: | Rs. 70,250 /- Per Semester- |
| Syllabus | Click here to Download |
Program Details/FAQs
B.Tech. in CSE-Artificial Intelligenceatthe School of Engineering,BBD University, Lucknow is designed for students aiming to build a career in the fast-growing fields of AI, machine learning, and data science. The program combines core computer science subjects with specialized AI topics like neural networks, deep learning, natural language processing, and computer vision. BBDU offers modern infrastructure, dedicated AI labs, experienced faculty, and regular workshops to keep students industry-ready. With rising demand for AI professionals across sectors, the course provides a strong foundation in both theory and hands-on skills. While the university offers placement support and industry exposure, students are encouraged to actively build their portfolios through projects, internships, and self-learning to fully benefit from the program.
- Future-Ready Curriculum: Stay ahead with courses in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Cybersecurity, and more.
- Hands-On Learning: Engage in projects, coding competitions, hackathons, and lab sessions to build practical skills.
- Experienced Faculty: Learn from industry experts and seasoned academicians dedicated to your success.
- Excellent Placement Record: Join top companies like TCS, Infosys, Amazon, Microsoft, HCL, and Capgemini through our robust placement cell.
- Global Opportunities: Our alumni thrive internationally in tech roles across the USA, Europe, Canada, and Asia-Pacific.
- Innovation & Entrepreneurship: Access incubation centers and support for startups and tech innovation.
- State-of-the-Art Infrastructure: Modern labs equipped with the latest tools for AI, ML, and software development.
- Industry Partnerships: Benefit from collaborations and certifications with leading tech companies like Microsoft, AWS, and Google.
The School of Engineering at Babu Banarasi Das University (BBDU) combines traditional and innovative teaching methods to provide a thorough education in Computer Science Engineering. The curriculum includes lectures, coding labs, workshops, case studies, and industry projects to ensure hands-on learning. Project-based learning encourages creative problem-solving and real-world application. Assessments include continuous evaluation, coding assignments, presentations, written exams, and viva voce. Emphasizing research, experiential learning, and industry partnerships, BBDU's Internal Quality Assurance Cell (IQAC) ensures credible evaluations and the adoption of modern teaching methods for optimal student outcomes.
- Library and E-Learning: Access to a central library and digital platforms providing extensive research materials, coding resources, and academic support.
- Health and Wellness Services: Medical facilities, counseling, and wellness programs to promote students' physical and mental well-being.
- Career Guidance and Placements: The Career Counselling Division and Training & Placement Cell connect students with industry partners for internships and job placements.
- Incubation and Innovation Centres: Encouraging entrepreneurship and cutting-edge research in AI and Blockchain through dedicated incubation hubs.
- Student Communities and Extracurricular Activities: Various clubs and organizations foster leadership, teamwork, and social engagement.
- Campus Facilities and Technology: Wi-Fi-enabled campuses, advanced computer labs, and innovation centers equipped with the latest software and hardware for AI, blockchain development, and research.
BBDU hosts numerous events, such as UTKARSH, its annual cultural fest, along with academic alliances and partnerships that enhance students' learning experiences. The campus also features BBD FM Radio, which serves as a platform for students to express their creativity. Additionally, students can participate in NCC (National Cadet Corps) and NSS (National Service Scheme), fostering discipline, leadership, and social responsibility.
The university supports student welfare through its Grievances Redressal Committee, Internal Complaints Committee, and Anti-Ragging Committee, ensuring a safe and supportive environment. A well-equipped central library and e-learning resources further aid students in their academic pursuits BBDU.AC.IN
To provide foundational knowledge and conceptual clarity in key areas of Computer Science and Artificial Intelligence before entering advanced courses.
A degree in Computer Science & Engineering with AI specialization opens doors to exciting, high-demand careers such as:
- Machine Learning Engineer
- Data Scientist
- AI Researcher
- NLP Engineer (Chatbots, Language Models)
- Computer Vision Specialist
| PO (Program Outcomes) | |
|---|---|
| PO1 | Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems. |
| PO2 | Problem Analysis: Identify, formulate, review literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural science and engineering sciences. |
| PO3 | Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety and the cultural, societal and environmental considerations. |
| PO4 | Conduct Investigations of Complex Problems: Use research based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. |
| PO5 | Modern Tool Usage: Create, select, and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
| PO6 | The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. |
| PO7 | Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental context and demonstrate the knowledge of, and need for sustainable development. |
| PO8 | Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| PO9 | Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings. |
| PO10 | Communication: Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports documentation. Make effective presentations, and give and receive clear instructions. |
| PO11 | Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one's own work, as a member and leader in a team. Manage projects in multidisciplinary environments. |
| PO12 | Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
| PSO (Program Specific Outcomes) | |
|---|---|
| PSO1 | Ability to apply fundamentals of Information Technology for Engineering Solutions in accordance with industrial demand using the domains of applied science, algorithms, databases, networking, security, machine learning and data analytics. |
| PSO2 | Ability to employ modern computer languages with focus on open platforms to develop innovative solutions in the field of SMACS (social, mobile, analytics, cloud and security) with professional behavior and ethics. |
