Overview

The Bachelor of Computer Applications (BCA) in Artificial Intelligence & Machine Learning is a three-year undergraduate program that blends computer science fundamentals with intelligent system design and data-driven learning techniques. It equips students with the technical expertise to build smart applications, automate processes, and create solutions powered by AI and ML technologies.

The curriculum integrates core subjects such as Problem Solving Techniques, Data Structures, Computer Networks, Operating Systems, and Software Engineering, along with specialized courses in Artificial Intelligence, Machine Learning, Neural Networks, Deep Learning, Natural Language Processing, and Digital Image Processing. Practical learning is reinforced through hands-on labs, projects, and electives like Predictive Analytics and Feature Engineering, ensuring students gain real-world exposure to modern AI tools and frameworks.

This program emphasizes innovation, critical thinking, and applied intelligence, preparing graduates for roles such as AI Engineer, Machine Learning Developer, Data Scientist, NLP Engineer, and Research Associate in industries like technology, healthcare, finance, and robotics.

The BCA – Artificial Intelligence & Machine Learning program empowers students to explore the frontiers of intelligent computing and shape the future of smart technologies.


Eligibility for Admission

A candidate who has passed two years Pre-University Examination conducted by the Pre-University Education Board in the State of Karnataka or any other examination considered as equivalent thereto shall be eligible for admission to these programmes.

Fees Structure

PROGRAMME STUDENT CATEGORY
BCA (AI & ML) STUDENTS FROM PU BOARD KARNATAKA STUDENTS FROM OTHER BOARDS CISCE, CBSE, IGCSE STUDENTS FROM OTHER STATES NRI STUDENTS
1st  YEAR 1,18,000.00 1,23,000.00 1,48,000.00 1,86,000.00
2nd YEAR 1,34,000.00 1,34,000.00 1,34,000.00 1,34,000.00
3rd  YEAR 1,48,000.00 1,48,000.00 1,48,000.00 1,48,000.00
GRAND TOTAL 4,00,000.00 4,05,000.00 4,30,000.00 4,68,000.00
Additional Fees: Uniform – Rs 10,000/- (To be paid for the First year)
Fees are in INR. All fees may be subject to change.

Syllabus

Future Prospects

Job opportunities

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • AI Research Assistant
  • Python Developer
  • Deep Learning Specialist

Higher Education Opportunities

  • M.Sc AI / ML
  • MCA (with specialization)
  • PG Diploma in Machine Learning
  • Master’s in Data Science

Outcomes

Program Outcomes 

PO1 – Computational Knowledge

Acquire in-depth computational and mathematical knowledge with the ability to abstract and conceptualize from defined problems and requirements.

PO2 – Dynamic Problem-Solving Skill

Identify, formulate, and exhibit strong analytical and dynamic problem-solving skills to address evolving computational challenges.

PO3 – Innovative System Analysis and Design / Development

Design and evaluate solutions for complex problems in Data Science, AI & ML, and Full Stack Development, considering societal, cultural, and environmental factors.

PO4 – Investigate Complex Computing Problems

Conduct literature surveys, analyze information, and design experiments using appropriate research methods to derive valid conclusions in relevant domains.

PO5 – Use of Modern Tools / Adaptive Programming Proficiency

Select, adapt, and apply modern IT tools and programming languages effectively in Data Science, AI & ML, and Full Stack Development to solve diverse computing challenges.

PO6 – Knowledge Optimization

Modify algorithms or software systems to improve efficiency or resource utilization.

PO7 – Lifelong Continuous Learning and Technology Adaptability

Pursue lifelong learning to stay updated with emerging technologies in Data Science, AI & ML, and Full Stack Development for sustained employability.

PO8 – Soft Skills and Collaborative Teamwork

Communicate effectively, enhance interpersonal skills, and collaborate in multidisciplinary teams essential for success in professional environments.

PO9 – Cyber Security Proficiency

Understand cyber threats, develop secure software, and protect sensitive data in Data Science, AI & ML, and Full Stack Development applications.

PO10 – Ethical and Professional Conduct

Adhere to ethical standards and professional practices in Data Science, AI & ML, and Full Stack Development roles and responsibilities.

PO11 – Employability

Identify market trends, upgrade skills accordingly, and enhance employability in Data Science, AI & ML, and Full Stack Development careers.

PO12 – Innovation and Entrepreneurship

Identify opportunities, innovate, and create value through Data Science, AI & ML, and Full Stack Development projects for personal growth and societal impact.