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

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

• To Apply knowledge of computing fundamentals, Artificial intelligence, Machine Learning and software engineering to solve complex computing problems.
• Communicate effectively with stakeholders, present ideas clearly in written and oral formats, and document technical processes and outcomes.
• To develop skills of the students so that they can develop and implement the applications using programming languages.
• To provide training in Technical tools and platforms, such as Programming languages, Databases, Web based Applications and AI frameworks, ensuring students are industry-ready.
• To help students build a successful career in Computer Appliation / Information Technology.
• Emphasizes hands-on experience, allowing students to apply AI and machine learning techniques to real-world problems, enhancing their problem-solving abilities.
• Function effectively as an individual and as a member or leader in diverse teams and multidisciplinary settings, managing AI projects effectively.
• To develops students' abilities to communicate effectively and work collaboratively in multidisciplinary teams, essential skills in the Tech industry.
• To engage in continuous learning, adapting to the rapidly evolving field of AI and staying current with emerging technologies and methodologies.
• Apply innovation and entrepreneurial skills to develop AI-based products or services and contribute to economic and social growth.
• 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.

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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