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MCA | Artificial Intelligence and Machine Learning

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Scope and Objective

  • The MCA programme in Artificial Intelligence and Machine Learning is designed to develop professionals with strong character and the competencies required for real-world industrial environments. Students are equipped with robust technical skills in AI and ML, along with essential professional skills such as communication, collaboration, and adaptability, which are critical in today’s technology-driven landscape.
  • The programme enables students to understand practical business problems and translate them into effective technological solutions. It also emphasises awareness of current industry standards, emerging trends, and ethical AI practices, ensuring that graduates remain relevant, responsible, and well-prepared for future professional growth. Overall, the programme provides a strong foundation in AI and ML, enabling students not only to understand the technology but also to apply and adapt it to evolving industry needs, contributing meaningfully to innovation and problem-solving across sectors.
  • The programme further aims to develop practical skills through hands-on training in tools, programming platforms, and frameworks widely used in professional and industrial environments. It bridges the gap between theoretical knowledge and industry expectations by incorporating live projects, internships, and interactions with industry professionals into the learning process.
  • Additionally, the programme strengthens problem-solving, analytical thinking, and algorithmic skills required for designing and implementing intelligent, data-driven applications in domains such as finance and healthcare.
  • Finally, the programme seeks to instil professional ethics, responsible AI practices, and a commitment to lifelong learning, enabling graduates to contribute effectively to dynamic, technology-driven industries.

Programme Structure

Semester I

Computing Foundations

  • Artificial Intelligence & Machine Learning
  • Data Structures and Algorithms
  • Relational Database Management Systems
  • Discrete Mathematics for Computing
  • Research Methodologies in Computing
  • Artificial Intelligence & Machine Learning and Lab
  • Data Structures and Algorithms & Lab
  • Relational Database Management Systems and Lab
Semester II

Core Systems & Data Handling

  • Object-Oriented Programming using Java 
  • Software Engineering and Project Management
  • Probability and Statistics for Data Science
  • Deep Learning with Python Programming
  • Web Technologies
  • Advanced Python Programming and Lab
  • Object-Oriented Programming using Java and Lab
  • Web Technologies and Lab
Semester III

AI & ML Specialisation

  • Advanced Cloud Computing
  • Computer Vision and Image Processing 
  • Internet of Things(IOT)
  • Data Visualisation using R Programming
  • Natural Language Processing
  • Advanced Cloud Computing Lab 
  • Data Visualisation using R Programming and Lab
Semester IV

Advanced AI & Industry Exposure

  • Blockchain Technology 
  • Ethical AI, Data Privacy, and Cyber Security 
  • Internship / Industry Project
  • Major Project and Viva Voce

Elective Courses for MCA Programme

Artificial Intelligence & Machine Learning

  • Advanced Machine Learning Techniques
  • Generative AI and Large Language Models
  • Natural Language Processing 
  • Computer Vision and Image Analytics
  • Reinforcement Learning and Intelligent Agents
  • MLOps and AI Model Deployment

Data Science & Analytics

  • Big Data Analytics and Hadoop Ecosystem
  • Data Mining and Predictive Modelling
  • Cloud Computing for AI Applications
  • Business Intelligence and Data Visualisation

Emerging Technologies

  • Edge AI and IoT Integration
  • Robotics and Automation using AI
  • AI in Cybersecurity and Threat Detection
  • Blockchain Technology
  • Human-Computer Interaction and Intelligent Systems

Professional & Research Skills

  • Ethical AI and Responsible Technology Practices
  • AI-driven Entrepreneurship and Innovation
  • Research Methodologies in Computing
  • Advanced Programming Paradigms
Why Choose MCA (AI & ML) at CMR University?
  • NAAC A Grade – Learn at a top-Accredited University in Bengaluru. Karnataka.
  • Cutting-Edge Skills – AI, ML, NLP, computer vision, and data analytics.
  • Real-World Experience – Projects, labs, and internships with industry exposure.
  • Expert Mentorship – Guidance from experienced faculty and industry leaders.
  • Global Career Ready – Prepare for high-demand roles in India and abroad.

FAQs

2 Years / 4 Semesters

The admission process involves meeting eligibility criteria, submitting an application form (online Or offline), and going through a selection process.

Candidates should have passed with a minimum of 50% marks (45% in the case of SCIST candidates) in any Bachelor’s Degree or equivalent examination from a recognised University, preferably with Mathematics at 10+2 level or at Graduation level.

No. An MCA with a specialisation in Artificial Intelligence and Machine Learning is not designed to cover all areas of computing and technology. Instead, it’s a focused, advanced degree that builds a strong foundation in core computer science and then immerses you deeply in the specialised field of AI/ML

Yes. Designed for long-term career resilience, this programme goes beyond surface-level skills to provide a deep, foundational understanding of the field. The curriculum is crafted to position you not in competition with AI, but as a leader—an expert capable of building, guiding, and innovating with intelligent technologies.

Basic programming skills.

Graduates are perfectly prepared to step into some of the most in-demand roles in the tech industry, including AI/ML Engineer, Data Scientist, NLP Engineer, Computer Vision Engineer, and AI Architect.

Department of MCA at CMR University provides a modern and well-equipped campus designed to support both academic excellence and student well-being. The academic infrastructure includes well-maintained digital classrooms, a well-stocked library, and specialised labs that cater to technical courses, ensuring students have access to essential learning resources. The Department of MCA is further strengthened by a team of experienced faculty who bring deep industry and academic expertise to guide students throughout their learning journey.

Yes, an MCA with a specialisation in AI and ML is in very high demand and is considered one of the most promising postgraduate degrees for a stable, well-paying tech career in 2026 and beyond. The demand is fueled by the rapid integration of AI across all industries, from banking and healthcare to retail and logistics. This widespread adoption has created a significant skill gap, making it a highly future-proof career choice.

Yes, CMR University provides comprehensive placement support to help students secure jobs. The university has a dedicated Training and Placement Centre, headed by experienced professionals who understand corporate requirements. The placement cell focuses on students’ personal and professional development from the very first academic year. The placement process is transparent and begins with students uploading their profiles on the placement portal ‘Superset’. CMR University has attracted a wide range of recruiters across various sectors.

Yes, the MCA in AI & ML at CMR University places a strong emphasis on practical training and offers good internship opportunities as a core part of its curriculum. The programme emphasises practical training through a curriculum rich in hands-on coding labs, real-time projects, and capstone initiatives that allow students to apply their knowledge to industry-level challenges using modern tools like Python and machine learning frameworks. Complementing this academic rigour, the university provides robust internship opportunities through its dedicated Training and Placement Cell, connecting students with high-growth enterprises and top IT companies for a two-month programme. These internships not only offer invaluable corporate exposure but often serve as a direct pathway to final placements, with many students receiving pre-placement offers, ensuring they graduate with both a strong portfolio and professional experience.

ACCP AY(2026-27)
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