BCA in Artificial Intelligence and Machine Learning
Bachelor of Computer Application (BCA) with Specialisations
Artificial Intelligence and Machine Learning
Eligibility
Candidates seeking admission to the BCA in Artificial Intelligence and Machine Learning programme must have completed the 10+2 or equivalent examination from a recognised central or state board. Mathematics, Computer Science, or Information Technology must be one of the core subjects.
Applicants should possess a strong academic foundation, logical reasoning ability, and a genuine interest in emerging technologies such as Artificial Intelligence and Machine Learning.
Overview
The BCA (Bachelor of Computer Applications) in Artificial Intelligence and Machine Learning programme provides students with a strong computer science and programming foundation and specialised expertise in cutting-edge technologies. This programme is designed to equip learners with the theoretical knowledge and practical skills necessary to develop intelligent systems and solve complex, real-world problems using AI.
Students gain hands-on experience in widely used programming languages such as Python and R. They work with industry-relevant tools and frameworks, including TensorFlow, PyTorch, and scikit-learn. Emphasis is placed on experiential learning through project-based assignments, enabling students to build a robust portfolio of AI applications. Internship opportunities and industrial training are embedded to offer real-time exposure to AI and ML practices across industries.
This programme offers a dynamic blend of academic rigour and practical insight for aspirants seeking the BCA Artificial Intelligence course in Bangalore. Recognised as one of the premier BCA Artificial Intelligence colleges in Bangalore, JAIN (Deemed-to-be University) delivers an academic edge that prepares students for the evolving demands of the tech-driven world.
The programme offers two main tracks:
- 3-year undergraduate degree and
- 4-year undergraduate degree with Honours
This BCA with AI course is structured to include both core Computer Science subjects and advanced modules in Artificial Intelligence and Machine Learning. The curriculum of the BCA in Artificial Intelligence and Machine Learning is thoughtfully designed to bridge foundational computing with futuristic AI capabilities.
Certification Offered
IBM Deep Learning with PyTorch, Keras, and TensorFlow – Professional Certificate (Coursera Certification)
As part of the BCA with Artificial Intelligence programme, students earn a globally recognised certification offered in collaboration with IBM and Coursera. This professional certification course delivers practical training in widely used deep learning frameworks like PyTorch, Keras, and TensorFlow, enabling students to build and deploy advanced AI and Machine Learning models.
The certification is a valuable addition for students enrolled in the BCA with Artificial Intelligence programme. It reinforces the academic foundation and enhances industry readiness by aligning with technological demands.
Course Highlights
- Learn core Artificial Intelligence and Machine Learning concepts, focusing on real-world applications, algorithms, and data-driven solutions
- Gain practical experience using top AI tools and frameworks like Python, TensorFlow, Keras, and PyTorch
- Enhance your profile with a globally recognised certification in Deep Learning offered by IBM through Coursera, embedded in the programme
- Work on live projects and capstone assignments to develop intelligent solutions and build a strong portfolio
- Benefit from industry exposure, internships, and placement training designed to prepare you for roles in AI, Data Science, and the emerging tech domain
The BCA AI syllabus is designed to provide a holistic understanding of Artificial Intelligence. It features modules on the ethical implications of AI, cognitive computing, and human-machine interaction. The programme covers essential BCA Artificial Intelligence subjects, carefully curated to reflect evolving industry demands and technological advancements.
Students pursuing BCA AI and ML benefit from a comprehensive curriculum combining theoretical depth and hands-on experience, preparing them for real-world applications. JAIN (Deemed-to-be University), ranked among the leading BCA in AI and ML colleges in Bangalore, is renowned for its emphasis on innovation, industry collaboration, and research-driven learning.
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
- Fundamentals of Mathematics
- Problem Solving Techniques
- Computer Organization
- Language -1
- General English- I
- Indian Knowledge System/SWAYA M Course
- Environmental
- Science and sustainability
- Problem Solving Techniques Lab
- Computer Organization Lab
- PCL-1: RESEARCH AND ENTREPRENEU RSHIP PROJECT
- Probability and Statistics
- Data Structures/SW AYAM Course
- Operating Systems
- Language -II
- General English– II
- Object Oriented Programming using Java
- Indian Constitution
- Data Structures Lab
- Object Oriented Programming using Java Lab
- PCL-2: RESEARCH AND ENTREPRENEU RSHIP PROJECT
- Research Methodology
- Database Management System
- Computer Networks/Swayam Course
- Professional Elective - I
- Software Engineering
- Software Project Management
- Quantitative Aptitude
- Yoga/Sports/NCC/NSS/Disaster Management/MMHV
- Professional Elective-II
- Web Technologies
- NET Programming
- Summer Intersahip 1 (6 to 8 Weeks)
- Problem Solving using Python
- Problem Solving using Python Lab
- Database Management System Lab
- Professional Elective-II
- Web Technologies Lab
- NET Programming Lab
- Computer Networks Lab
- PCL-3: RESEARCH AND ENTREPRENEURSHIP PROJECT
- Competitive coding
- Artificial Intelligence & Machine Learning
- Professional Elective - III
- R Programming
- Basics of Data Analytics using Spreadsheet
- Professional Elective - IV
- Data Mining and Data Warehousing
- Introduction to Cloud Computing
- Design Thinking and Innovation/swayam
- Applied Research
- Artificial Intelligence & Machine Learning Lab
- Professional Elective – III
- R Programming Lab
- Basics of Data Analytics using Spreadsheet Lab
- TD-PCL
Track 1 (Conventional Approach)
- Professional Elective - V
- Natural Language Processing
- Image Processing
- Professional Elective - VI
- Data Visualization Tools and Techniques
- Bigdata Analytics
- Professional Elective - VII
- IOT in AI
- Deep Learning and Reinforcement Learning
- Software Quality Assurance
- Recommendation Systems
- Professional Elective – V 1.
- Natural Language Processing Lab
- Image Processing Lab
- Professional Elective – VI
- Data Visualization Tools and Techniques Lab
- Bigdata Analytics Lab
- Professional Elective – VII
- IOT in AI Lab
- Deep Learning and Reinforcement Learning Lab
- Summer Internship-2(6-8 Weeks)
- TD-PCL
Track 2 (PROJECT)
- Professional Elective - V
- Natural Language Processing
- Image Processing
- Professional Elective - VI
- Data Visualization Tools and Techniques
- Bigdata Analytics
- Professional Elective - VII
- IOT in AI
- Deep Learning and Reinforcement Learning
- Capstone Project
- Professional Elective – V
- Natural Language Processing Lab
- Image Processing Lab
- Professional Elective – VI
- Data Visualization Tools and Techniques Lab
- Bigdata Analytics Lab
- Professional Elective – VII
- IOT in AI Lab
- Deep Learning and Reinforcement Learning Lab
- Summer Internship-2(6-8 Weeks)
- TD-PCL
Track 3 (ENTREPRENEURSHIP)
- Professional Elective - V
- Natural Language Processing
- Image Processing
- Professional Elective - VI
- Data Visualization Tools and Techniques
- Bigdata Analytics
- Professional Elective - VII
- IOT in AI
- Deep Learning and Reinforcement Learning
- ENTREPRENEURSH IP
- Professional Elective – V
- Natural Language Processing Lab
- Image Processing Lab
- Professional Elective – VI
- Data Visualization Tools and Techniques Lab
- Bigdata Analytics Lab
- Professional Elective – VII
- IOT in AI Lab
- Deep Learning and Reinforcement Learning Lab
- Summer Internship-2(6-8 Weeks)
- TD-PCL
Track 4 (Internship/Placement)
- Professional Elective - V
- Natural Language Processing
- Image Processing
- Professional Elective - VI
- Data Visualization Tools and Techniques
- Bigdata Analytics
- Professional Elective - VII
- IOT in AI
- Deep Learning and Reinforcement Learning
- Internship/Placement
- Professional Elective – V
- Natural Language Processing Lab
- Image Processing Lab
- Professional Elective – VI
- Data Visualization Tools and Techniques Lab
- Bigdata Analytics Lab
- Professional Elective – VII
- IOT in AI Lab
- Deep Learning and Reinforcement Learning Lab
- Summer Internship-2(6-8 Weeks)
- TD-PCL
Track 1: Conventional Approach
- Advanced NLP: Transformers and Large Language Models
- Professional Elective-VIII
- AI in Healthcare
- AI in Agriculture
- Professional Elective-IX
- Cloud Automation
- Explainable AI
- Capstone Project / Internship
- TD-PCL
Track 2: Project Track
- Advanced NLP: Transformers and Large Language Models
- Professional Elective-VIII
- AI in Healthcare
- AI in Agriculture
- Professional Elective-IX
- Cloud Automation
- Explainable AI
- Capstone Project
- TD-PCL
Track 3: Entrepreneurship Track
- Advanced NLP: Transformers and Large Language Models
- Professional Elective-VIII
- AI in Healthcare
- AI in Agriculture
- Professional Elective-IX
- Cloud Automation
- Explainable AI
- Entrepreneurship
- TD-PCL
Track 4: Internship / Placement Track
- Professional Elective-V (From SWAYAM/MOOCs)
- AI in Healthcare
- AI in Agriculture
- MOOC from SWAYAM: Advanced NLP – Transformers and Large Language Models
- Professional Elective-VII (From SWAYAM/MOOCs)
- Cloud Automation
- Explainable AI
- Internship / Placement
- TD-PCL
BCA (Honours)
- MLOps
- Mobile Application Development
- Edge Computing
- Professional Elective - X
- Software Design with UML and Design Patterns
- Software Requirement Engineering
- Professional Elective - XI
- Secure Analytics
- Federated Learning
- MLOps Lab
- Mobile Application Development Lab
- Dissertation Work (Evaluation in Eighth Semester)
- Summer Internship II
BCA (Honours with Research)
- MLOps
- Interdisciplinary Research in Sciences and Technology
- Edge Computing
- Research Project
- Professional Elective - X
- Software Design with UML and Design Patterns
- Software Requirement Engineering
- Professional Elective - XI
- Secure Analytics
- Federated Learning
- MLOps Lab
- Summer Internship II
BCA (Honours)
- Professional Elective - XII
- Quantum Computing
- Cognitive Computing
- Professional Elective - XIII
- Biometrics
- Ethics and AI
- Professional Elective - XIV
- DevOps
- Optimization Techniques
- Professional Elective - XV
- Quantum Computing Lab
- Cognitive Computing Lab
- Professional Elective - XVI
- DevOps Lab 2
- Optimization Techniques Lab
- Dissertation Work (Started in Seventh Semester)
BCA (Honours with Research)
- Professional Elective - XII
- Quantum Computing
- Cognitive Computing
- Professional Elective - XIII
- Biometrics
- Ethics and AI
- Professional Elective - XIV
- DevOps
- Optimization Techniques
- Professional Elective - XV
- Quantum Computing Lab
- Cognitive Computing Lab
- Professional Elective - XVI
- DevOps Lab 2
- Optimization Techniques Lab
- Research Dissertation Work
Career Outcomes
BCA in Artificial Intelligence and Machine Learning programme graduates have the technical expertise, analytical mindset, and problem-solving skills essential for thriving in the AI-driven tech industry.
The programme opens up diverse career paths across various domains, including:
- AI/ML Engineer
- Data Analyst / Data Scientist
- Software Developer (AI/ML Applications)
- Automation Specialist / Robotic Process Automation (RPA) Developer
- Natural Language Processing (NLP) Engineer
- Computer Vision Engineer
Graduates of the programme can explore diverse career opportunities across sectors such as healthcare, finance, e-commerce, and technology. For those seeking to pursue a BCA Artificial Intelligence in Bangalore, this course opens doors to a wide range of roles in the city’s thriving tech ecosystem.
Bangalore is also home to some of the most reputed BCA Artificial Intelligence colleges in Bangalore, offering a blend of academic excellence and strong industry integration. This programme is particularly well-suited for students interested in a future-ready BCA in Machine Learning or those looking to specialise in BCA AI and ML.
With a curriculum designed to meet the demands of modern technology landscapes, the programme is regarded as one of the most promising Artificial Intelligence course in Bangalore. Its emphasis on deep-tech learning, hands-on experience, and expert guidance makes it an ideal choice for aspirants serious about building a career in BCA Machine Learning and related AI domains.
FAQ's
Is AI hard to learn?
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.
Is AI highly paid?
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.
Is BCA AI good?
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.