B.C.A.(A.I.)

The objectives of the programme shall be to provide a sound academic base from which a career in Computer Applications can be developed.

• Apply knowledge of computing fundamentals, mathematics and given domain to design appropriate models for a given problem and/or requirements.
• Apply fundamental knowledge of software engineering and various systems domain in order to analyse, identify, formulate and provide the solution to a given problem.
• Design and evaluate solutions, systems, modules and processes for specified sets of needs with appropriate consideration of societal values and industry expectations.
• Design AI-based systems, components, or processes that meet specific requirements while taking into account public health, safety, and environmental sustainability.
• Create and run simple DevOps applications by showing practical skills and using tools for automation and version control effectively.
• 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.
•  Acknowledge the need for continuous professional development and practice it through self-motivated, independent learning.
• Involving in project development as an individual or group to solve problems in various domains and environments using computational and management skills.
• Demonstrate efficacy in verbal and non-verbal means of communication like reports, design documentation and presentations to elaborate about complex computing.
• Recognise timely opportunities and apply innovative approaches to create value and contribute to the well-being of individuals and society.
• To provide training in technical tools and platforms, such as programming language and AI frameworks ensuring students are industry ready.

BCA AI Program Structure

1) AI-Centric Curriculum: Specialized subjects in Artificial Intelligence, Machine Learning, Data Science, and Deep Learning. Includes latest tools and frameworks like Python, TensorFlow, Keras, OpenCV, etc.
2) Industry-Aligned Learning: Curriculum designed in collaboration with industry experts and tech leaders. Focus on project-based learning, real-world datasets, and problem-solving skills.
3) Hands-on Projects and Hackathons: Mini-projects and capstone projects in each semester related to AI/ML. Participation in national/international hackathons, innovation challenges, and coding competitions.
4) Practical Exposure: Use of platforms like Google Colab, Kaggle, and GitHub for collaborative coding.Access to AI labs, high-performance computing resources, and data processing tools.
5) Guest lectures and mentorship from AI experts working in companies like IBM, TCS, and startups.
6) Skill development through hands-on learning
7) Holistic development-oriented initiatives
8)163 Credits (Lecture: Tutorial: Practical).
9) Departmental Elective Track on offer
10) Departmental Minor Track on offer

• BCA AI graduates Jobs in a variety of sectors like IT Industry, Cybersecurity, AI Domain, Data Science and Analytics, banking, insurance, IT-enabled service industries, and government agencies.
• Career opportunities as an Software Developer, Application developer, Software Engineer, System Analyst, Database Administrator, Network Administrator, Web Developer, System Engineer, Data Analyst, Data Scientist, Chief Technology Officer, Customer Support Executive, IT systems administrator, QA Engineer, SAP Engineer etc.
• Higher Education Options MCA , MBA(IT), MS

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