Session 2027 | Phase 1 Admission Process Begins on December 1st
Inspiria Knowledge Campus
BCA in AI & ML students at Inspiria

BCA in AI & ML

(Artificial Intelligence & Machine Learning)

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Build Intelligence. Develop Problem Solving Acumen. Create Impact.

BCA (AI & ML) is an industry-oriented course that produces future-ready tech-savvy professionals. We equip our students to work at the intersection of code, data, intelligent systems and innovation. This 4-year, full-time, industry-integrated programme takes students from computational foundations and programming to Machine Learning, Deep Learning, Natural Language Processing, Generative AI, Big Data Analytics, Process Intelligence and AI-driven automation.

Undergraduate program in

AI & Machine Learning

Duration

4 Years

UG Degree

Eligibility

10+2

Any stream

Format

Full Time

On campus

Commencement

1st July 2026

Session 2026

Inspiria BCA in AI & ML overview

Objectives

  • Build computational foundations
  • Develop AI & Machine Learning acumen
  • Strengthen data and analytical thinking skills
  • Master emerging technologies
  • Encourage innovation and entrepreneurship
  • Build professional competence

Why pursue

Artificial Intelligence & Machine Learning from Inspiria?

Strong CS &

Strong CS & Programming Foundation

Build a solid foundation in computer science and programming for intelligent systems — from problem-solving in C and Python to data structures, DBMS and computer architecture.

Deep AI & ML

Deep AI & ML Expertise

Gain in-depth knowledge of artificial intelligence and machine learning to solve real-world problems using data, with hands-on labs in neural networks, NLP and generative AI.

Innovate in

Innovate in Emerging Technology

Explore deep learning, computer vision, big data analytics and automation — and prepare for careers or higher studies in AI, ML, data analytics and other emerging tech.

More than a Degree

Four Years. Eight Semesters. One Future-proof Career in Innovation and Technology.

Year 1

Initiation into thinking like a Technologist

The first year establishes the computational and problem-solving foundations required for advanced technology learning.

Skill

Foundations: Programming fundamentals, Computational thinking, Problem solving, Data structures, Algorithmic thinking, Python programming, Technical communication.

Year 1 — Initiation into thinking like a Technologist
Year 2

You enter the World of AI and Data

The second year moves from computational fundamentals towards data, systems and Artificial Intelligence.

Skill

Data & AI foundations: Database management, Data analysis, Algorithm design, Machine Learning fundamentals, Neural networks, Python for AI/ML, Mathematical reasoning.

Year 2 — You enter the World of AI and Data
Year 3

Advance, Apply & Experience

You get ready to take AI from the lab to the industry. Internships and industry visits bring students closer to professional environments.

Skill

Applied AI: Advanced Machine Learning, NLP, Generative AI, AI applications, Data-driven decision-making, Professional communication, Ethical technology practices.

Year 3 — Advance, Apply & Experience
Year 4

Specialise, Automate & Innovate

The final year focuses on advanced AI applications, optimisation, automation, professional electives and independent research.

Skill

Specialisation: AI optimisation, Process intelligence, AI-driven automation, Advanced analytical thinking, Independent research, Project execution, Professional specialisation.

Year 4 — Specialise, Automate & Innovate

Top Placements

Inspiria Artificial Intelligence graduates land roles across leading IT and consulting firms.

Lily Lepcha

Lily Lepcha

Batch of 2017-20

Recruiter
Aman Agarwal

Aman Agarwal

Batch of 2017-20

Recruiter
Jangmu Lama

Jangmu Lama

Batch of 2016-19

Recruiter
Lily Lepcha

Lily Lepcha

Batch of 2017-20

Recruiter
Aman Agarwal

Aman Agarwal

Batch of 2017-20

Recruiter
Jangmu Lama

Jangmu Lama

Batch of 2016-19

Recruiter
Lily Lepcha

Lily Lepcha

Batch of 2017-20

Recruiter
Aman Agarwal

Aman Agarwal

Batch of 2017-20

Recruiter
Jangmu Lama

Jangmu Lama

Batch of 2016-19

Recruiter
Lily Lepcha

Lily Lepcha

Batch of 2017-20

Recruiter
Aman Agarwal

Aman Agarwal

Batch of 2017-20

Recruiter
Jangmu Lama

Jangmu Lama

Batch of 2016-19

Recruiter
Lily Lepcha

Lily Lepcha

Batch of 2017-20

Recruiter
Aman Agarwal

Aman Agarwal

Batch of 2017-20

Recruiter
Jangmu Lama

Jangmu Lama

Batch of 2016-19

Recruiter
Lily Lepcha

Lily Lepcha

Batch of 2017-20

Recruiter
Aman Agarwal

Aman Agarwal

Batch of 2017-20

Recruiter
Jangmu Lama

Jangmu Lama

Batch of 2016-19

Recruiter

What Others Say about Us

Hear from industry experts who evaluate our students.

Inspiria BCA in AI & ML graduate

“I really liked the presentations which students had prepared. I am very happy with the results and appreciate their hard work. I am sure they have a very bright future. I would also like to thank the mentors who guided them so well and honored that I was invited in the evaluation session.”

Mr. Proshanta Sarkar

Blockchain Engineer, Henkel, Germany

Learn from Experienced Faculty

Industry-experienced mentors who blend academic rigor with real-world insight.

Tanmoy Ghosh

Asst. Professor

Tanmoy Ghosh

Aritra Dey

Asst. Professor

Aritra Dey

Nandan Das

Asst. Professor

Nandan Das

Subhro Sarkar

Asst. Professor

Subhro Sarkar

Neha Thapa

Asst. Professor

Neha Thapa

Notable Student Accomplishments

Inspiria Knowledge Campus is proud to present a commendable list of our brilliant students’ achievements.

Venturecraft-Eureka 2025 Zonal Round Winner

Tanmoy Saha and Ayan Sunwar

Alginate Hackathon 2025 Champions

Bhumi Ghosh and Dristi Sarkar

Google Student Ambassador 2024

Priyarth Pradhan

Active Toastmaster

Sneha Keshri (2024) and Joy Kalundia (2025)

Your BCA in AI & ML Journey

Your journey to becoming an AI & machine-learning professional.

1st Semester

  • IT Service Management (ITSM)
  • Introduction to Emerging Technology – I
  • Introduction to Emerging Technology – I (Lab)
  • Problem-Solving Techniques with C
  • Problem-Solving Techniques with C - Lab
  • General English – I
  • Indian Knowledge System
  • Environmental Science and Sustainability

2nd Semester

  • Problem Solving Techniques – II (C Programming Advanced)
  • Data Structure and Algorithm
  • Data Structure and Algorithm – Lab
  • Introduction to Emerging Technology – II
  • Introduction to Emerging Technology – II Lab
  • Programming with Python
  • Programming with Python - Lab
  • Digital Electronics
  • Indian Constitution

3rd Semester

  • Big Data Analytics
  • Database Management System
  • Database Management System - Lab
  • AI in Service Industry – I
  • Computer Architecture
  • Computer Architecture - Lab
  • Introduction to Artificial Intelligence / Mathematics Foundations to Computer Science
  • Yoga / Sports / NCC / NSS / Disaster Management

4th Semester

  • AI Applications in Manufacturing – I
  • AI Applications in Manufacturing – I Lab
  • Design & Analysis of an Algorithm
  • Artificial Neural Network
  • Machine Learning
  • Python for AI-ML / Mathematics Foundation for AI-ML
  • Python for AI-ML - Lab
  • Design Thinking & Innovation

5th Semester

  • Natural Language Processing
  • Natural Language Processing Lab
  • AI in Service Industry – II
  • Advanced Machine Learning
  • Advanced Machine Learning - Lab
  • Quantitative Techniques
  • IT Law & Ethics
  • Industrial Internship

6th Semester

  • Generative AI
  • Generative AI - Lab
  • AI Application in Manufacturing – II
  • Professional Elective – I
  • Soft Skills
  • Project

7th Semester

  • Social Network Analysis
  • Optimisation of ML
  • Optimisation of ML - Lab
  • Process Intelligence & Automation with AI – I
  • Professional Elective – II
  • Research Dissertation / Internship

8th Semester

  • Process Intelligence & Automation with AI – II
  • Professional Elective – III
  • Professional Elective – IV
  • Final Dissertation / Internship
BCA in AI & ML programme brochure

BCA AI & ML 2026 Brochure

Download Now!

Full curriculum, fees, scholarships & placements — all in one PDF.

Download Brochure

Eligibility & Admission Process

Simple, guided steps from enquiry to confirmed seat.

Eligibility

  • Pass in 10+2 (Higher Secondary) from any recognized board.
  • Open to students from any stream — Science, Commerce and Arts.
  • No prior coding experience required.
  • No entrance exam — admission is on a first-come, merit basis.
  • Session 2026 admissions are currently open.

How to Apply

  1. 1

    Enquire / Apply

    Submit an enquiry or the online application form to get started.

  2. 2

    Counselling Session

    Our admissions team helps you understand the programme, fees and scholarships.

  3. 3

    Document Verification

    Share your Class 10 & 12 mark sheets and ID for an eligibility check.

  4. 4

    Confirm Your Seat

    Complete the admission payment to secure your place for the 2026 session.

Got Questions?

Frequently Asked Questions

Everything you need to know about the BCA in AI & ML programme at Inspiria.

Still have questions?

Our admissions team is here to help you decide.

Talk to our team

  • Yes. The programme incorporates industry exposure through internships, company visits, industry mentorship, workshops, projects and workplace-readiness activities.

  • The curriculum begins with programming and computational foundations before moving into advanced AI and Machine Learning. This provides a structured pathway for students to progressively develop coding skills.

  • Yes. Machine Learning, Advanced Machine Learning, Artificial Neural Networks and Optimisation of Machine Learning are included across the programme.

  • Yes. Natural Language Processing and its laboratory component form part of the fifth-semester curriculum.

  • Students develop programming, data analysis, machine learning, problem-solving, analytical thinking, communication and decision-making skills — along with practical, project-based experience in building intelligent systems.

  • Yes. The programme includes an industrial internship in the third year and a final-year internship/dissertation pathway.

  • Yes. Communication, teamwork, leadership, technical writing, quantitative aptitude and other professional competencies are integrated alongside technical learning.