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MCA in Artificial Intelligence

Master of Computer Applications (MCA) with Specialisations

Artificial Intelligence and Machine Learning

Eligibility

The applicant willing to pursue their MCA in Artificial Intelligence programme should preferably have passed 10+2 with Mathematics and a Bachelor’s degree in a relevant field. Candidates applying to top MCA in Artificial Intelligence colleges in Bangalore must also score at least 50% marks (45% marks in case of candidates in the reserved category) in their undergraduate programme. Students can contact the admissions office directly for more details on the admission process at the best MCA in Artificial Intelligence colleges in Bangalore.


Overview

The global Artificial Intelligence (AI) market is witnessing unprecedented growth and is projected to soar from $65.48 billion in 2020 to $1,581.70 billion by 2030. The development is expected at a CAGR of 38.0% between 2021 and 2030. As AI continues outperforming traditional human capabilities in various domains, organisations increasingly turn to AI to drive operational efficiency and long-term cost savings. According to the NASSCOM Tech CEO Survey 2022, AI, Big Data, Machine Learning (ML), and Natural Language Processing (NLP) rank as the second-highest tech priority for 2021–22.

From healthcare and agriculture to finance, defence, gaming, and national security, AI and Machine Learning (ML) are transforming industries by enabling intelligent, data-driven decision-making. Machine Learning, a core branch of AI, enhances the ability of software systems to improve predictive accuracy using historical data, making systems more intelligent and autonomous.

The MCA in Artificial Intelligence offered by the School of Computer Science and IT at JAIN (Deemed-to-be University) is designed for aspiring professionals who wish to enter this growing tech field. This top MCA in Artificial Intelligence course in Bangalore provides in-depth exposure to AI algorithms, ML models, and real-world applications. 

Certification Offered: 

Microsoft AI & ML Engineering Professional Certificate with Coursera Certification

The Microsoft AI & ML Engineering Professional Certificate with Coursera Certification helps students develop advanced knowledge and practical skills in artificial intelligence and machine learning. This certification enhances their ability to design, develop, and implement intelligent solutions, preparing them for future-ready careers in the tech industry.

Course Highlights

Here are some of the programme highlights of the MCA in Artificial Intelligence programme:

  • The best MCA in Artificial Intelligence course curriculum in Bangalore is designed to enable the students to develop programming, analytical and logical thinking abilities. 
  • The AI in MCA programme motivates graduates to develop computational knowledge and project development skills to solve societal problems in AI & ML.
  • Graduating students will be able to qualify for employment, higher studies, and research in Artificial Intelligence and Data Science with ethical values. 
  • The students are encouraged to inculcate the ability to work in a team and act as individuals in a multidisciplinary environment with lifelong learning and social awareness.
  • The students will develop the ability to apply knowledge of fundamentals, specialisations, mathematics, and domain knowledge to problem-solving and create computing models that represent abstractions of requirements.
  • The AI MCA programme enables students to identify, formulate, design, and solve complex computing problems, providing concrete conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines. 
  • After completing the AI in MCA programme, the students will be able to construct components, implement processes, and evaluate solutions that meet defined specifications to develop solutions to computing problems.
  • The programme is structured to impart knowledge of using Modern Tools and techniques, selecting, adapting, and applying appropriate tools, techniques, and resources to various computing activities, and understanding their limitations.
  • The programme exposes the students to industry experience, enabling them to understand professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
  • They will possess relevant knowledge and skills to recognise the need and have the capability to engage in independent learning for continuous professional development. 
  • During the training period, the students are taught to communicate effectively about computing activities with the computing community and society by comprehending and writing practical reports, designing documentation, delivering effective presentations, and giving and understanding clear instructions.
  • Graduates are motivated to understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts and the consequential responsibilities relevant to professional computing practices. 
  • The AI MCA programme enables students to function effectively as individuals, members, or leaders in a multidisciplinary environment and diverse teams.
  • It will assist them in establishing values and wealth for the individual and society by identifying timely opportunities and using innovation to pursue them.
  • Students can actively conduct investigations of complex computing problems and apply research-based knowledge and research methods, including designing experiments, analysing and interpreting data, and synthesising the information to provide valid conclusions. 
  • Graduates learn the nuances of project management and finance, and the ability to understand and apply computing and management principles to their work as leaders or team members to manage projects in a multidisciplinary environment.
Program code: 045B
Course code : 45B5
Course Commencement : Sep 2026

Study Campus

School of CS and IT
#44/4, District Fund Road
Jayanagar 9th Block
Bangalore - 560069
080 - 46501773


Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
080 - 46501773
+91 7337615222

Course Image

Curriculum Structure

Here is the curriculum structure of the AI in MCA programme

Core Subjects
  • Data Structures & Algorithms
  • Advanced Computer Networks
  • Python Programming
  • Artificial Intelligence
  • Mathematical Foundation for Computer Applications
  • Employability Skill Training-1 (Vedic Mathematics and Competitive Coding) / Entrepreneurship Skill - 1
  • Open Elective Course-1
  • Data Structures & Algorithms Lab
  • Advanced Computer Networks Lab
  • Python Programming Lab
  • Trans Disciplinary Project Centric Learning-1 (TD-PCL-1)

Core Subjects
  • Object Oriented Programming Using Java
  • Database Technologies
  • Machine Learning
  • Discipline Elective-1: Advanced Probability and Statistics/Computer Vision
  • Employability Skill Training-2 (Quantitative Aptitude and Competitive Coding) / Entrepreneurship Skill - 2
  • Object Oriented Programming Using Java Lab
  • Database Technologies Lab
  • Machine Learning Lab
  • Discipline Elective-2: Advanced Probability and Statistics Lab / Computer vision Lab
  • Trans Disciplinary Project Centric Learning-1 (TD-PCL-1)
  • Research Methodology

Core Subjects
  • Deep Learning
  • Predictive Analytics and Data Visualization
  • Natural Language Processing
  • Discipline Elective-3: Internet of Things / Big Data Analytics
  • Open Elective Course-2
  • Employability Skill Training-3 (Quantitative Aptitude and Competitive Coding) / Entrepreneurship Skill - 3
  • Deep Learning Lab
  • Predictive Analytics and Data Visualization Lab
  • Natural Language Processing Lab
  • Trans Disciplinary Project Centric Learning-2 (TD-PCL-2)
  • Summer Internship / Capstone project

Core Subjects
  • Discipline Elective-4: Professional Ethics and Values / IT Governance and Ethics
  • Discipline Elective-5: Digital Image Processing/ Biometrics
  • Discipline Elective-6: MLOps / Reinforcement Learning
  • Project / Internship
  • Trans Disciplinary Project Centric Learning-2 (TD-PCL-2)

Career Outcomes

The job outlook for professionals graduating from the AI MCA programme is auspicious, with India witnessing a sharp rise in AI startups and adoption across industries. A recent LinkedIn search for “Artificial Intelligence” roles yielded over 45,000 job listings, highlighting the growing demand for skilled talent.

Graduates of the Master’s degree in Artificial Intelligence and Machine Learning can pursue dynamic roles, including:

  • AI/ML Engineers & Developers
  • AI Analysts/Specialists
  • Business Intelligence (BI) Developers
  • Data Architects 
  • NLP Engineers 
  • Human-Centred Machine Learning Designers 
  • AI Research Scientists 

FAQ's

Does AI require coding?


Yes. AI requires coding, as candidates have to develop Machine Learning models and automate processes. These tasks involve knowledge of coding. Coding languages like Python, R, Java, etc., are also crucial to AI.

What is AI engineering salary?


In India, entry-level AI Engineers earn around ₹6-10 LPA, while experienced professionals can earn ₹20 LPA or more. Globally, salaries are higher, especially in countries with a strong tech industry.

Is Artificial Intelligence expensive?


Yes. Artificial Intelligence can be expensive due to the high costs of data processing, computing power, and skilled professionals.

Who is eligible for the AI course?


Anyone with a Mathematics, programming, or Computer Science background can pursue an AI course. Many courses are also available for beginners. However, advanced courses like MCA in AI require candidates to have passed grade 12th with Mathematics as the core subject and bachelor’s degree, with at least 50% marks.