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Admissions Open 2026–27

BCA & Integrated MCA Programs

Future-ready computer application degrees built around Artificial Intelligence, Machine Learning and Data Science — with a seamless 5-year integrated BCA + MCA pathway.

3 YearsDuration
6 SemestersStructure
139Total Credits
UndergraduateLevel
Program Overview

BCA in AI & Machine Learning

The BCA in Machine Learning program is designed to provide a strong foundation in computer science along with specialized knowledge in artificial intelligence and machine learning. The curriculum integrates programming, data science, and advanced ML concepts to prepare students for industry and research roles.

Program Objectives

  • Build strong foundations in computer science and programming
  • Develop expertise in machine learning and AI technologies
  • Enable students to work with real-world data and intelligent systems
  • Foster problem-solving and analytical thinking skills
  • Prepare students for industry roles and higher education

Program Outcomes

  • Apply programming and data structures effectively
  • Design and implement machine learning models
  • Analyze data using statistical and computational techniques
  • Develop AI-driven applications for real-world problems
  • Demonstrate professional and ethical responsibility
Semester-wise Curriculum

What you'll learn

Browse the full subject plan year by year — select an academic year to see what you'll study across both its semesters.

Academic Year

Year 1

BCA (AI & ML)
I
Semester I 7 subjects
  • 01Programming Fundamentals with C
  • 02Digital Logic and Design
  • 03Mathematics for Computer Science
  • 04Operating Systems
  • 05Introduction to Electronics
  • 06English Language
  • 07Presentation Skills
II
Semester II 7 subjects
  • 01Object-Oriented Programming with C++
  • 02Data Structures and Algorithms
  • 03Database Management System
  • 04Computer Architecture
  • 05Sustainable Energy
  • 06Financial Literacy
  • 07Communication Skills
Academic Year

Year 2

BCA (AI & ML)
III
Semester III 6 subjects
  • 01Introduction to Python
  • 02Web Technologies
  • 03Probability and Statistics
  • 04Introduction to AI
  • 05Introduction to Design Thinking
  • 06E-Commerce & Digital Business
IV
Semester IV 6 subjects
  • 01Programming in Java
  • 02Machine Learning
  • 03Generative AI & LLMs
  • 04Data Science
  • 05Project Management
  • 06Introduction to UI/UX
Academic Year

Year 3

BCA (AI & ML)
V
Semester V 6 subjects
  • 01Computer Vision
  • 02Deep Learning Operations (DLOps)
  • 03Big Data Analytics
  • 04Elective - I
  • 05Elective - II
  • 06Entrepreneurship
VI
Semester VI 1 subjects · Capstone
  • 01Major Project
Elective Pool

Specialise your path

Pick electives that match your career ambitions — from deep technical tracks to industry-ready skills.

Technical Electives

Data Mining and Warehousing
Blockchain Technology
AI for Big Data Processing
Data Visualization & Business Analytics
AI in IoT & Smart Systems

Industry-Oriented Electives

Cloud Computing Fundamentals
DevOps for AI Systems
AI Product Development
Cybersecurity Essentials

Industry Integration

  • Industry projects and capstone in the final semester
  • Guest lectures and workshops by industry experts
  • Internship opportunities in AI and data science domains

Assessment Scheme

Internal Assessment40%
End-of-Semester Examination60%
Career Outcomes

Where this degree takes you

Graduates step into high-demand, future-proof roles across industry and research.

01Machine Learning Engineer
02Data Analyst
03AI Developer
04Business Intelligence Analyst
05Software Developer
06Research Assistant in AI/ML
What we do best

Eight pillars of an AI-first education

Every pillar is measurable, staffed and ship-tested with current students.

01
Smart Classroom

Smart Classroom Content

Interactive, AI-augmented content delivered on tablet-enabled classrooms.

300+ hrs of content
02
Structured Pedagogy

Structured Pedagogy

Weekly sprints. Clear outcomes. Every topic ends in a shippable artefact.

12 sprints/semester
03
Automated Evaluation

Automated Evaluation

Real-time AI grading on code and problem sets — feedback in minutes.

< 3 min feedback
04
Technology Campus

Technology-Driven Campus

Every student on the LMS. Every lab virtualised. Every room a studio.

100% digital
05
Job Training

Job & Industry Training

Curriculum co-designed with hiring partners. You ship what they hire for.

50+ partners
06
Industry Mentorship

Industry Mentorship

Industry veterans and top-college faculty mentor every single core module.

60+ mentors
07
AI Placement

AI Placement Preparation

AI Resume Builder and AI Interview Prep — drill-ready from day one.

Unlimited reps
08
Virtual Labs

Advanced Virtual Labs

Cloud compute, GPUs and simulated enterprise stacks — always-on access.

24/7 access
Got Questions?

Frequently asked questions

Everything you need to know before you apply. Still unsure? Talk to our admissions team.

BCA in Artificial Intelligence & Machine Learning runs for 3 years across 6 semesters, blending theory, hands-on labs, electives and an industry capstone project.

Candidates who have passed 10+2 (or equivalent) from a recognised board are eligible to apply.

Graduates move into roles such as Machine Learning Engineer, Data Analyst, AI Developer, and more — across industry, startups and research.

Yes. Our AI-enabled techno campus offers dedicated placement training, industry internships and access to 100+ recruiters, with live projects and mentorship throughout the program.

You'll gain hands-on experience with industry-standard tools — Python, SQL, cloud platforms and modern AI/ML and analytics frameworks — through labs, projects and workshops.

3 YearsDuration
6 SemestersStructure
139Total Credits
UndergraduateLevel
Program Overview

BCA in Data Science

The BCA in Data Science program is designed to build strong foundations in computer science while developing expertise in data analytics, statistical modeling, and intelligent systems. The curriculum integrates programming, data handling, and advanced data science techniques to prepare students for industry and research roles.

Program Objectives

  • Build strong foundations in computer science and programming
  • Develop expertise in data science, analytics, and machine learning
  • Enable students to work with large-scale real-world data
  • Foster analytical and statistical problem-solving skills
  • Prepare students for industry roles and higher education

Program Outcomes

  • Apply programming and data structures effectively
  • Analyze and interpret complex datasets
  • Build predictive and statistical models
  • Develop data-driven applications and solutions
  • Demonstrate ethical and professional responsibility
Semester-wise Curriculum

What you'll learn

Browse the full subject plan year by year — select an academic year to see what you'll study across both its semesters.

Academic Year

Year 1

BCA (Data Science)
I
Semester I 7 subjects
  • 01Programming Fundamentals with C
  • 02Digital Logic and Design
  • 03Mathematics for Computer Science
  • 04Operating Systems
  • 05Introduction to Electronics
  • 06English Language
  • 07Presentation Skills
II
Semester II 7 subjects
  • 01Object-Oriented Programming with C++
  • 02Data Structures and Algorithms
  • 03Database Management System
  • 04Computer Architecture
  • 05Sustainable Energy
  • 06Financial Literacy
  • 07Communication Skills
Academic Year

Year 2

BCA (Data Science)
III
Semester III 6 subjects
  • 01Introduction to Python
  • 02Introduction to Data Science
  • 03Probability and Statistics
  • 04Introduction to AI
  • 05Introduction to Design Thinking
  • 06E-Commerce & Digital Business
IV
Semester IV 6 subjects
  • 01Data Mining and Warehousing
  • 02Machine Learning
  • 03Data Visualization & Business Analytics
  • 04Web Technologies
  • 05Project Management
  • 06Introduction to UI/UX
Academic Year

Year 3

BCA (Data Science)
V
Semester V 6 subjects
  • 01MATLAB
  • 02Statistical Learning & Bayesian Methods
  • 03Big Data Analytics
  • 04Elective - I
  • 05Elective - II
  • 06Entrepreneurship
VI
Semester VI 1 subjects · Capstone
  • 01Major Project
Elective Pool

Specialise your path

Pick electives that match your career ambitions — from deep technical tracks to industry-ready skills.

Technical Electives

Computer Vision and Image Processing
Blockchain Technology

Industry-Oriented Electives

AI for Big Data Processing
Generative AI & LLMs

Industry Integration

  • Industry-oriented capstone project in final semester
  • Workshops and guest lectures from data science professionals
  • Internship opportunities in analytics and AI domains

Assessment Scheme

Internal Assessment40%
End-of-Semester Examination60%
Career Outcomes

Where this degree takes you

Graduates step into high-demand, future-proof roles across industry and research.

01Data Scientist
02Data Analyst
03Machine Learning Engineer
04Business Intelligence Analyst
05Data Engineer
06Research Assistant in Data Science
What we do best

Eight pillars of an AI-first education

Every pillar is measurable, staffed and ship-tested with current students.

01
Smart Classroom

Smart Classroom Content

Interactive, AI-augmented content delivered on tablet-enabled classrooms.

300+ hrs of content
02
Structured Pedagogy

Structured Pedagogy

Weekly sprints. Clear outcomes. Every topic ends in a shippable artefact.

12 sprints/semester
03
Automated Evaluation

Automated Evaluation

Real-time AI grading on code and problem sets — feedback in minutes.

< 3 min feedback
04
Technology Campus

Technology-Driven Campus

Every student on the LMS. Every lab virtualised. Every room a studio.

100% digital
05
Job Training

Job & Industry Training

Curriculum co-designed with hiring partners. You ship what they hire for.

50+ partners
06
Industry Mentorship

Industry Mentorship

Industry veterans and top-college faculty mentor every single core module.

60+ mentors
07
AI Placement

AI Placement Preparation

AI Resume Builder and AI Interview Prep — drill-ready from day one.

Unlimited reps
08
Virtual Labs

Advanced Virtual Labs

Cloud compute, GPUs and simulated enterprise stacks — always-on access.

24/7 access
Got Questions?

Frequently asked questions

Everything you need to know before you apply. Still unsure? Talk to our admissions team.

BCA in Data Science runs for 3 years across 6 semesters, blending theory, hands-on labs, electives and an industry capstone project.

Candidates who have passed 10+2 (or equivalent) from a recognised board are eligible to apply.

Graduates move into roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and more — across industry, startups and research.

Yes. Our AI-enabled techno campus offers dedicated placement training, industry internships and access to 100+ recruiters, with live projects and mentorship throughout the program.

You'll gain hands-on experience with industry-standard tools — Python, SQL, cloud platforms and modern AI/ML and analytics frameworks — through labs, projects and workshops.

5 YearsDuration
10 SemestersStructure
217+Total Credits
Integrated UG + PGLevel
Program Overview

Integrated MCA (BCA + MCA)

The Integrated BCA + MCA (iMCA) program is a five-year professional degree designed to provide strong foundations in computer science along with advanced knowledge in Artificial Intelligence, Data Science, Cloud Computing, and Software Engineering. The program emphasizes industry readiness through projects, internships, and research, ensuring a seamless transition from undergraduate to postgraduate level.

Program Objectives

  • Develop strong computational and problem-solving skills
  • Build expertise in modern software development practices
  • Prepare students for careers in industry, research, and entrepreneurship
  • Equip learners with emerging technologies such as AI, ML, Cloud, and DevOps

Program Outcomes

  • Apply knowledge of computing fundamentals and advanced concepts
  • Design and develop scalable software systems
  • Analyze data and build intelligent solutions
  • Work effectively in teams and communicate professionally
  • Adapt to emerging technologies and engage in lifelong learning
Semester-wise Curriculum

What you'll learn

Browse the full subject plan year by year — select an academic year to see what you'll study across both its semesters.

Academic Year

Year 1

iMCA (BCA + MCA)
I
Semester I 7 subjects
  • 01Programming Fundamentals with C
  • 02Digital Logic and Design
  • 03Mathematics for Computer Applications
  • 04Operating Systems
  • 05Introduction to Electronics
  • 06English Language
  • 07Creative Writing and Presentation
II
Semester II 7 subjects
  • 01Object-Oriented Programming with C++
  • 02Data Structures and Algorithms
  • 03Database Management Systems
  • 04Computer Architecture
  • 05Environmental Studies
  • 06Communication Skills
  • 07Introduction to Design Thinking
Academic Year

Year 2

iMCA (BCA + MCA)
III
Semester III 6 subjects
  • 01Introduction to Python
  • 02Software Engineering
  • 03Web Technologies
  • 04Introduction to Artificial Intelligence
  • 05Financial Literacy
  • 06Professional Ethics
IV
Semester IV 6 subjects
  • 01Programming in Java
  • 02Mobile Applications Development
  • 03Cloud Computing
  • 04Project Management
  • 05Data Visualization
  • 06Introduction to UI/UX
Academic Year

Year 3

iMCA (BCA + MCA)
V
Semester V 5 subjects
  • 01Machine Learning
  • 02Backend Development
  • 03Big Data Analytics
  • 04Elective – 1
  • 05Elective – 2
VI
Semester VI (Bridge) 4 subjects
  • 01Major Project Phase I
  • 02Advanced Data Structures
  • 03Research Methodology
  • 04Seminar and Technical Presentation
Academic Year

Year 4

iMCA (BCA + MCA)
VII
Semester VII 6 subjects
  • 01Advanced Java / Spring Boot
  • 02Advanced Database Systems
  • 03Design and Analysis of Algorithms
  • 04Computer Networks
  • 05Elective – 3
  • 06Mini Project
VIII
Semester VIII 6 subjects
  • 01Advanced Artificial Intelligence
  • 02Data Science and Analytics
  • 03Cyber Security
  • 04DevOps and CI/CD
  • 05Elective – 4
  • 06Internship / Industrial Training
Academic Year

Year 5

iMCA (BCA + MCA)
IX
Semester IX 6 subjects
  • 01Cloud-Native Application Development
  • 02Machine Learning Operations (MLOps)
  • 03Blockchain Technology
  • 04Research Paper Writing and IPR
  • 05Elective – 5
  • 06Major Project Phase II
X
Semester X 3 subjects · Final Capstone
  • 01Major Project Phase III (Final)
  • 02Viva Voce
  • 03Industry Portfolio and Seminar
Elective Pool

Specialise your path

Pick electives that match your career ambitions — from deep technical tracks to industry-ready skills.

Technical Electives

MERN Stack Development
Computer Vision
DevOps
Quantum Computing
Deep Learning
Natural Language Processing
Internet of Things
AR/VR

Industry-Oriented Electives

Product Management
FinTech Systems
Digital Marketing Analytics
Entrepreneurship and Startup Development

Industry Integration

  • Mandatory Internship in Semester VIII
  • Three-phase Major Project across Semesters VI, IX, and X
  • Exposure to industry tools such as Git, Docker, Kubernetes, AWS, and CI/CD pipelines

Assessment Scheme

Internal Assessment30%
End Semester Examination50%
Practical / Project20%
Career Outcomes

Where this degree takes you

Graduates step into high-demand, future-proof roles across industry and research.

01Software Developer
02Data Scientist
03AI / Machine Learning Engineer
04Cloud Engineer
05Full Stack Developer
06Cybersecurity Analyst
What we do best

Eight pillars of an AI-first education

Every pillar is measurable, staffed and ship-tested with current students.

01
Smart Classroom

Smart Classroom Content

Interactive, AI-augmented content delivered on tablet-enabled classrooms.

300+ hrs of content
02
Structured Pedagogy

Structured Pedagogy

Weekly sprints. Clear outcomes. Every topic ends in a shippable artefact.

12 sprints/semester
03
Automated Evaluation

Automated Evaluation

Real-time AI grading on code and problem sets — feedback in minutes.

< 3 min feedback
04
Technology Campus

Technology-Driven Campus

Every student on the LMS. Every lab virtualised. Every room a studio.

100% digital
05
Job Training

Job & Industry Training

Curriculum co-designed with hiring partners. You ship what they hire for.

50+ partners
06
Industry Mentorship

Industry Mentorship

Industry veterans and top-college faculty mentor every single core module.

60+ mentors
07
AI Placement

AI Placement Preparation

AI Resume Builder and AI Interview Prep — drill-ready from day one.

Unlimited reps
08
Virtual Labs

Advanced Virtual Labs

Cloud compute, GPUs and simulated enterprise stacks — always-on access.

24/7 access
Got Questions?

Frequently asked questions

Everything you need to know before you apply. Still unsure? Talk to our admissions team.

Integrated MCA (BCA + MCA) runs for 5 years across 10 semesters, blending theory, hands-on labs, electives and an industry capstone project.

Candidates who have passed 10+2 (or equivalent) from a recognised board are eligible to apply. The integrated track then continues seamlessly into the postgraduate years — no separate entrance is required to progress.

Graduates move into roles such as Software Developer, Data Scientist, AI / Machine Learning Engineer, and more — across industry, startups and research.

Yes. Our AI-enabled techno campus offers dedicated placement training, industry internships and access to 100+ recruiters, with live projects and mentorship throughout the program.

You'll gain hands-on experience with industry-standard tools — Python, SQL, cloud platforms and modern AI/ML and analytics frameworks — through labs, projects and workshops.

Admissions Open 2026–27

Begin your journey at Rai University

Join an AI-enabled techno campus and turn your ambition into a future-ready career. Apply online or speak with our admissions team today.

Why students choose us

  • Scholarships for meritorious students
  • Guaranteed internships & live projects
  • 100+ hiring partners on campus
  • NEP-aligned, industry-built curriculum