About Programme
MCA in Artificial Intelligence and Machine Learning (AI & ML) is a 2-year professional postgraduate program designed for candidates aiming to build a robust career in intelligent systems, data science, and machine learning-driven technologies. This specialized program empowers students to explore the convergence of computer science and AI, equipping them with the latest tools, programming languages, and frameworks essential for intelligent application development and advanced data processing.
Structured across 4 semesters, the course combines core computer science subjects with advanced AI and ML modules. It covers foundational aspects such as data structures, algorithms, and programming, along with in-depth training in machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics. The course is crafted to align with evolving industry needs, offering a balanced mix of theoretical understanding and hands-on project experience.
The curriculum emphasizes innovation, critical thinking, and real-time problem solving, preparing students for high-demand roles in the technology sector. Graduates of this program are well-positioned for careers in AI development, data science, intelligent automation, research, and software engineering.
Eligibility & Admission
Passed BCA / B.Sc. (Computer Science) / B.Sc. (IT) / B.E. (CSE) / B.Tech. (CSE) / B.E. (IT) / B.Tech. (IT) or equivalent Degree. Or Passed any graduation degree (e.g.: B.E. / B.Tech. / B.Sc / B.Com. / B.A. / B. Voc./ etc.,) preferably with Mathematics / Statistics/ Quantatative techniques at 10+2 level or at Graduation level Obtained at least 50% marks in the qualifying examination.
| PROGRAM FEE | AMOUNT |
|---|---|
| Application Fee (One Time) | 1,000/-INR |
| Registration Fee (One Time) | 15,000/-INR |
| Security (One Time – Refundable) | 8,000/-INR |
| Semester Fee | 70,000/-INR |
Scholarship
| Marks in Graduation | Scholarship Per Semester | Applicable Fee After Scholarship Per Semester |
| 60% / 6CGPA and Above | 30% | 49000/-INR |
| Disability Level | Scholarship Per Semester | Applicable Fee After Scholarship Per Semester |
| 90% & Above 90% | 30% | 49000/-INR |
| 75% & Below 90% | 20% | 56000/-INR |
| 50% & Below 75% | 10% | 63000/-INR |
| Category | Scholarship Per Semester | Applicable Fee After Scholarship Per Semester |
| Wards of Param Veer Chakra | 30% | 49000/-INR |
| Winners of Maha Veer Chakra | 20% | 56000/-INR |
| Winners of Veer Chakra | 10% | 63000/-INR |
| Work Tenure | Scholarship Per Semester | Applicable Fee After Scholarship Per Semester |
| More than 5 years continuous service | 30% | 49000/-INR |
| 1 Year – 5 Years continuous Service | 20% | 56000/-INR |
| Category | Scholarship Per Semester | Applicable Fee After Scholarship Per Semester |
| Single girl child | 20% | 56000/-INR |
| Category | Scholarship Per Semester | Applicable Fee After Scholarship Per Semester |
| Parentless | 30% | 49000/-INR |
| Either fatherless or motherless provided the annual family income is less than 2.5 lakh | 20% | 56000/-INR |
Salient Features of the MCA (AI & ML) Program
- Aligned with NEP 2020 Guidelines.
- Choice-Based Credit System (CBCS) designed for students passionate about intelligent computing, data analytics, and smart systems.
- Focus on next-generation technologies such as Artificial Intelligence, Machine Learning, Deep Learning, Big Data, and IoT.
- Curriculum structured to meet global industry standards, encouraging innovation, adaptability, and lifelong learning.
- Emphasis on strong analytical and algorithmic thinking to solve real-world AI problems.
- Includes Discipline Specific Courses (DSC), Ability Enhancement Courses (AEC), Skill Enhancement Courses (SEC), and Multidisciplinary Courses (MDC) with a strong AI focus.
- Real-time project work, internships, and industry collaboration to offer practical exposure and research opportunities.
- Dedicated labs with modern infrastructure for AI, ML, and Data Science projects.
- Integration of MOOCs from SWAYAM, Coursera, NPTEL, or other reputed platforms for extended learning and certification.
- Encourages entrepreneurial mindset, critical reasoning, and innovation-driven learning.
- Prepares students for roles such as AI/ML Engineer, Data Scientist, Research Analyst, Software Developer, AI Consultant, and Tech Entrepreneur.
Programme Education Objectives (PEOs)
- PEO1 To develop the ability to analyze, design, and implement intelligent systems using artificial intelligence and machine learning techniques to solve real-world problems.
- PEO2 To foster strong problem-solving, algorithmic thinking, and programming skills relevant to AI and ML domains in IT industries.
- PEO3 To work effectively as individuals or in teams on multidisciplinary projects involving AI technologies with technical, ethical, and societal considerations.
- PEO4 To inspire innovation and entrepreneurial skills in students to create AI/ML-based solutions and products across various sectors.
- PEO5 To enable students to pursue advanced research, doctoral studies, or teaching careers in AI, ML, data science, and allied areas.
Programme Outcomes (POs)
- PO1 Computational Knowledge: Understand and apply mathematical foundation, computing and domain knowledge for the conceptualization of computing models from defined problems.
- PO2 Problem Analysis: Ability to identify, critically analyze and formulate computing problems using fundamentals of computer science and application domains.
- PO3 Design / Development of Solutions: Design, implement and evaluate a computer based system to meet the desired needs.
- PO4 Conduct Investigations of Complex Computing Problems: Ability to devise and conduct experiments, interpret data and provide well informed conclusions.
- PO5 Modern Tool Usage: Ability to select modern computing tools, skills and techniques necessary for innovative software solutions
- PO6Professional Ethics: Ability to apply and commit professional ethics and cyber regulations in a global economic environment.
- PO7 Life-long Learning: Recognize the need for and develop the ability to engage in continuous learning as a Computing professional.
- PO8 Project Management and Finance: Ability to understand, management and computing principles with computing knowledge to manage projects in multidisciplinary environments.
- PO9 Communication Efficacy: Communicate effectively with the computing community as well as society by being able to comprehend effective documentations and presentations.
- PO10 Societal & Environmental Concern: Ability to recognize economical, environmental, social, health, legal, ethical issues involved in the use of computer technology and other consequential responsibilities relevant to professional practice.
- PO11 Individual &Team Work: Ability to work as a member or leader in diverse teams in multidisciplinary environment.
- PO12 Innovation and Entrepreneurship: Identify opportunities, entrepreneurship vision and use of innovative ideas to create value and wealth for the betterment of the individual and society.
Programme Specific Outcomes (PSOs)
- PSO1 Analyze, design, and develop effective software applications using Artificial Intelligence and Machine Learning techniques to address contemporary technological and societal challenges.
- PSO2 Demonstrate proficiency in applying modern computing tools and technologies in AI and ML domains, and pursue successful careers in the IT industry, consultancy, research & development, teaching, and other allied areas.