AI can be challenging to understand because it involves mathematical, statistical, programming, and analytical skills. However, AI is not impossible to understand or master. Candidates must have a passion for understanding AI concepts.

Yes. AI, or Artificial Intelligence, is a high-paying field. Various industries are using AI skills and tools for growth, which predicts an upsurge in AI jobs in the future. Some of the most highly paid AI job roles include the ML engineer, AI product engineer, and data scientist.

Is AI in high demand?

Yes. AI is in high demand. The demand for AI skills will continue to grow as AI and ML are used across various industries all over the world.

Is BCA with AI a good career?

Yes. BCA with AI is a good career option that offers various job roles in new-age careers. Graduates of this programme can explore roles such as AI engineer, data scientist, machine learning developer, etc.

Yes. BCA AI is a lucrative choice for individuals pursuing diverse careers, offering advanced opportunities and competitive salaries.

What is BCA in AI and ML?

The BCA in AI and ML (Bachelor of Computer Applications in Artificial Intelligence and Machine Learning) is a three-year undergraduate programme offering a comprehensive understanding of computer science principles and programming and specialised knowledge in artificial intelligence and machine learning. The programme includes hands-on knowledge of the latest AI and ML tools.

Who is eligible for the BCA AI course?

Candidates who have completed their 10+2 education in Science or Commerce with Mathematics, Statistics, Computer Science, or Information Practice as one of the core subjects from a recognised board (such as PUC, ISC, or CBSE) or any equivalent board) are eligible to apply for the BCA AI course.

BCA in Artificial Intelligence and Machine Learning

Bachelor of Computer Applications (Honours / Honours with Research)

Artificial Intelligence and Machine Learning

Overview

The Bachelor of Computer Applications (BCA) in Artificial Intelligence and Machine Learning is a four-year undergraduate programme designed to build strong foundations in computer science, mathematics, data handling, and intelligent systems. This programme is ideal for students seeking a future-ready career through a BCA with Artificial Intelligence and advanced computing technologies.

As one of the comprehensive BCA Artificial Intelligence courses in Bangalore, the programme integrates core computing subjects with cutting-edge domains such as Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Natural Language Processing, Computer Vision, and Large Language Models (LLMs). The structured BCA AI syllabus ensures a progressive learning journey from fundamentals to advanced AI and ML concepts.

Through hands-on laboratories, transdisciplinary project-based learning, internships, and industry-mentored projects, students gain strong practical exposure aligned with current industry demands and research trends. The programme prepares graduates for careers in intelligent systems, analytics, and emerging AI-driven domains, positioning it among leading BCA in AI and ML colleges in Bangalore.

Duration : 4 Years - 8 Semesters

Total Credits : 172

Eligibility

Candidates must have successfully completed their 10 + 2 (Level 4.0 / Class 12) or equivalent examination from a recognised board.

A pass in a Diploma in Commercial Practice or equivalent.

Note: This is in accordance with AICTE guidelines.

Course Highlights

Strong mathematical, statistical, and programming foundation for BCA AI, ML, and Data Science
Progressive curriculum covering core computing, AI, and Machine Learning concepts
In-depth focus on Python, Java, C, and modern AI frameworks
Integrated laboratories with real-world, project-based learning
Multiple internships and industry-mentored projects
Exposure to emerging areas such as Large Language Models, Explainable AI, Reinforcement Learning, and AI Security
Inclusion of soft skills, professional ethics, disaster management, and human values

Apply Now WhatsApp

Program code: 044B

Course Commencement : Jul 2026

admission.set@jainuniversity.ac.in

Study Campus

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69

+91 8310942174

Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69

+91 8310942174
080 - 69279444

Curriculum Structure

Mathematical Foundations for Data and AI
Problem Solving Techniques Using C
Computer Organisation
Professional Communication Skills – I
Language I
- Kannada I
- Hindi I
- Sanskrit I
- Additional English I
Problem Solving Techniques Using C Lab
Computer Organisation Lab
Disaster Management and Preparedness
Mind Management and Human Values – I
Transdisciplinary Project-Centric Learning – I

Data Structures Using C
Analytical Mathematics for Data and AI
Object-Oriented Programming Using Java (SWAYAM Integrated)
Professional Communication Skills – II
Language II
- Kannada II
- Hindi II
- Sanskrit II
- Additional English II
Data Structures Using C Lab
Object-Oriented Programming Using Java Lab
Open Elective – I
Mind Management and Human Values – II
Transdisciplinary Project-Centric Learning – II

Database Management Systems
Computer Networks
Artificial Intelligence Foundations
Problem Solving Using Python
Minor – I
Open Elective – II
Indian Constitution
Problem Solving Using Python Lab
Database Management Systems Lab
Summer Internship I (6–8 weeks)
Transdisciplinary Project-Centric Learning – III

Operating Systems
Professional Elective – II
Machine Learning with Python
AI Engineering with Python, PyTorch, and TensorFlow
Minor – II
Minor – III
Open Elective – III
Environmental Studies
Minor – II Lab
Minor – III Lab
Transdisciplinary Project-Centric Learning – IV

Track 1 (Conventional Approach)

Deep Learning
Elective Group
Advanced Machine Learning
Data Science and Data Analytics
Elective Group
Natural Language Processing
Image Processing
Minor – IV
Minor – V
Elective Group
Advanced Machine Learning Lab
Data Science and Data Analytics Lab
Natural Language Processing Lab
Image Processing Lab
Summer Internship II (6–8 weeks)
Minor Project
Transdisciplinary Project-Centric Learning – V

Track 2 (Capstone Project Approach)

Capstone Project
Deep Learning
Minor – IV
Minor – V
Minor – IV Lab
Minor – V Lab
Summer Internship II (6–8 weeks)
Transdisciplinary Project-Centric Learning – V

Track 3 (Entrepreneurship)

Entrepreneurship
Deep Learning
Minor – IV
Minor – V
Minor – IV Lab
Minor – V Lab
Summer Internship II (6–8 weeks)
Transdisciplinary Project-Centric Learning – V

Track 1: (Conventional Approach)

Elective Group
Applied Data Science Using Python
Data Visualisation
Elective Group
Reinforcement Learning
Explainable AI
Minor – VI (SWAYAM Integrated)
Elective Group
Applied Data Science Using Python Lab
Data Visualisation Lab
Reinforcement Learning Lab
Explainable AI Lab
Project
Seminar
Transdisciplinary Project-Centric Learning – VI

Track 2: (Capstone Project Approach)

Capstone Project
DSC – Recommendation Systems
Minor – VI (SWAYAM Integrated)
Seminar
Transdisciplinary Project-Centric Learning – VI

Track 3: (Entrepreneurship)

Entrepreneurship
DSC – Recommendation Systems
Minor – VI (SWAYAM Integrated)
Seminar
Transdisciplinary Project-Centric Learning – VI

BCA (Honours)

DSE – I
DSE – II
Minor – VII
Industry-Mentored Project
Summer Internship – III

BCA (Honours with Research)

DSE – I
DSE – II
Minor – VII
Research Methodology
Applied Research
Summer Internship – III

BCA (Honours)

DSE – I
DSE – II
Minor – VIII
Industry-Mentored Project
Summer Internship – IV

BCA (Honours with Research)

Dissertation (Research Track)
Minor – VIII

Minor Specialisations

Software Engineering
Cloud Computing
Internet of Things (IoT)
Information Technology for Healthcare (ITH)
Information Security (IS)

Career Outcomes

Graduates acquire a comprehensive skill set enabling careers across the AI and technology ecosystem, including:

Software Developer (AI/ML Applications)
Data Analyst and Data Scientist
AI Engineer and Machine Learning Engineer
NLP Engineer and Computer Vision Engineer
Automation Specialist and RPA Developer

The programme emphasises analytical thinking, system design, and real-world project experience, positioning graduates for multidisciplinary roles in emerging AI-driven domains.

Career Enhancement

1. Technical Skill-Building Workshops

Workshops run parallel to academic courses to strengthen hands-on competence across core and advanced areas of Artificial Intelligence and Machine Learning.

Programming and Core Computing Skills

C, Java, and Python programming workshops
Alignment with Data Structures, Object-Oriented Programming, and problem-solving
Hands-on sessions on algorithms, debugging, and performance optimisation

AI, ML, and Data Science Workshops

Machine Learning and Deep Learning using Python
Data Science, Data Analytics, and Applied Data Science
Reinforcement Learning, Explainable AI, NLP, and Image Processing

Emerging Technology Workshops

Generative AI and Large Language Models
AI Engineering using PyTorch and TensorFlow
Data Engineering for AI and AI for Cybersecurity

Tools and Framework Exposure

Python libraries, ML frameworks, and data visualisation tools
Model development, evaluation, and deployment practices

2. Soft Skills and Professional Development

Professional readiness is developed alongside technical expertise, making graduates industry-ready.

Communication and presentation skills
Technical writing, documentation, and AI project presentations
Teamwork and leadership development through Transdisciplinary Project-Centric Learning (TDPCL I–VI)

3. Internships and Industrial Training

Summer Internship I (Semester III): 6–8 weeks of foundational industry exposure
Summer Internship II (Semester V): Advanced internship in AI, ML, Data Science, or Analytics
Summer Internship III (Semester VII): Industry-level internship focusing on LLMs, Generative AI, Data Engineering, or AI Security

Industry-Mentored Projects (Semesters VII and VIII)

Real-world problem statements guided by industry experts
Exposure to enterprise-level AI solutions and deployment practices

4. Research and Innovation Support

Continuous project-based learning through TDPCL I–VI
Minor Project (Semester V) focusing on AI/ML applications
Final industry-mentored capstone project (Semester VIII)
Exposure to advanced research areas including Deep Learning, Reinforcement Learning, Explainable AI, and LLMs

FAQ's

What makes this programme different from a regular BCA?

The programme integrates AI, ML, Data Science, Deep Learning, NLP, Computer Vision, Reinforcement Learning, and Generative AI into the core curriculum, alongside strong foundations in computing and systems.

Is prior programming or AI knowledge required?

No prior experience is required. The curriculum progresses from fundamentals to advanced AI concepts.

What practical exposure is provided?

Hands-on laboratories, transdisciplinary projects, minor projects, industry-mentored projects, and three structured internships.

How does the programme prepare students for industry?

Through industry-aligned tools, real-world projects, internships, and exposure to modern AI frameworks and practices.

What are the higher education options after completion?

Graduates can pursue MCA, MSc, MS, MBA, research programmes, or professional certifications in AI, Data Science, Cloud Computing, and Cybersecurity.