Online MCA in AI & ML - Manipal Academy of Higher Education
Venture into leadership roles in AI with an online Master of Computer Applications (MCA) in Artificial Intelligence & Machine Learning from Manipal Academy of Higher Education (MAHE). This futuristic online MCA course in AI & ML is designed to empower learners with a comprehensive understanding of essential concepts in this evolving domain. The curriculum covers key subjects such as deep learning, AI, big data analytics, and computer vision to prepare professionals for future workforces. Learners can access high-quality learning resources, e-libraries, discussion forums, live and recorded classes, programming labs, and quizzes at an advanced learning management system while they continue to full-time work. Exclusive access to Coursera and placement assistance boost learners' career prospects. The program offers specializations in AI & ML, Cloud Computing, Cybersecurity, and Full Stack Development to enhance technical skills and increase earning potential in the tech domain.
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Course Start Date:
Starting soon
Application Deadline:
17th September 2025
Duration:
24 Months
₹ 2,20,000
Overview
This futuristic online MCA program is designed to empower learners with comprehensive understanding of essential concepts in the evolving domain of artificial intelligence and machine learning. The curriculum covers key subjects including deep learning, AI, big data analytics, and computer vision to prepare professionals for future workforces. Students can access high-quality learning resources, e-libraries, discussion forums, live and recorded classes, programming labs, and quizzes through an advanced learning management system while continuing full-time work. The program provides exclusive access to Coursera for additional learning opportunities and placement assistance to boost career prospects in the tech domain.
Why MCA (Master of Computer Applications)?
This program is ideal for increasing earning potential and elevating technical skills in the rapidly growing AI and ML domain. Students enhance skills on the job and gain practical exposure to stay ahead in their careers. The curriculum helps learners excel in key software tools and specialize in niche domains like neural networks, deep learning, natural language processing, and computer vision. With exclusive access to Coursera benefits including 10,000+ courses and professional certifications from leading global universities, students gain comprehensive knowledge while pursuing their degree. The program offers four specialization options to cater to different career interests and industry demands.
What does this course have to offer?
Key Highlights
Increase earning potential by enhancing skills on the job and gaining expertise in the tech domain
Elevate technical skills by learning software development, database management, machine learning methods, web technologies and more
Excel in key software tools such as Oracle, Eclipse, JavaScript, Node.js, MongoDB, and more
Specialize in niche domains by mastering neural networks, deep learning, natural language processing, and computer vision
Gain exclusive access to Coursera with 10,000+ courses and professional certifications from leading global universities
Access high-quality learning resources, e-libraries, discussion forums, live and recorded classes, programming labs, and quizzes
Receive placement assistance to boost career prospects
Choose from four specializations: AI & ML, Cloud Computing, Cybersecurity, Full Stack Development
Who is this programme for?
Bachelor's degree holders in Computer Science, Computer Applications, or IT with minimum 50% marks
Professionals with 1 year work experience in reputed organizations
Working professionals seeking to advance their careers in AI and ML
Individuals looking to transition into AI and ML roles
Technology professionals wanting to specialize in emerging domains
Students from other disciplines with mathematics background (with additional bridge courses)
Minimum Eligibility
Bachelor's degree in Computer Science/Computer Applications/IT with minimum 50% marks and 1 year work experience
Who is the programme for?
The admission process requires candidates to have completed a bachelor's degree in Computer Science/Computer Applications/IT with minimum 50% marks and 1 year work experience in reputed organizations. Students from other disciplines must have studied mathematics and complete additional bridge courses. The program follows a semester-wise fee structure with total fees of ₹2,20,000 and EMI options starting from ₹9,167 per month. Academic structure spans two years with four semesters covering comprehensive AI and ML curriculum. The program offers four specialization options in semester 4: AI & ML, Cloud Computing, Cybersecurity, and Full Stack Development.
Important Dates
Selection process
How to apply?
Curriculum
The curriculum is designed with industry-aligned content covering core computer applications and cutting-edge AI/ML technologies. Students progress through four semesters covering foundational computing concepts, programming languages, advanced AI/ML techniques, and specialized applications. The program integrates theoretical knowledge with practical skills through programming labs, projects, and hands-on experience with modern tools and technologies. Students benefit from experienced faculty expertise and access to advanced learning management systems with exclusive Coursera integration.
There are 4 semesters in this course
Year 1 Semester 1 covers Mathematics for Computing, Business Communication, Problem Solving using C, Operating Systems, and Software Engineering. Semester 2 includes Database Management with Structured Query Language, Data Analytics and Visualization with Python, Object Oriented Programming with Java, and Data Structures and Algorithms. Year 2 Semester 3 focuses on Software Testing and Analysis, Web Technologies, Mobile Computing, Machine Learning Methods, and Research Methodology and Technical Communication. Semester 4 includes Project work and specialization courses. AI & ML specialization covers Deep Learning Principles and Applications, Artificial Intelligence, Big Data Analytics, and Computer Vision. Other specializations include Cloud Computing, Cybersecurity, and Full Stack Development options.
Semester 1
Semester 2
Semester 3
Semester 4
Programme Length
Two-year program with flexible online format allowing working professionals to balance studies with career commitments. Students are expected to spend 15-20 hours per week on learning activities including watching concept videos, reading materials, attempting quizzes, participating in discussions, and attending live webinars. The program offers both live classes and self-paced learning options through advanced learning management system with exclusive Coursera access.
Tuition Fee
The total program fee is INR 2,20,000 for Indian nationals, payable in four semester installments of INR 55,000 each. International students pay USD 2,800 total or USD 700 per semester. The program offers various financial options including no-cost EMI starting at INR 9,167 per month, scholarships up to 20% for eligible categories including defense personnel, persons with disabilities, merit-based, and MAHE alumni. A 5% fee concession is available for full upfront payment. The university also provides easy financing options through bank partnerships, though loan approval depends on meeting credit norms and documentation requirements.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The program provides immersive online learning experience through Manipal Academy of Higher Education's advanced learning management system. Students engage with high-quality learning resources including concept videos, reading materials, eBooks, quizzes, programming labs, live lectures, and webinars. Interactive features include discussion forums, course coordinators, and direct faculty interaction. The methodology combines theoretical learning with practical programming experience and exclusive access to Coursera's global university courses and professional certifications.
University Experience
Students gain access to extensive facilities including e-libraries, programming labs, discussion forums, live and recorded classes, and advanced learning management system. The program offers mentorship from experienced faculty including Ms. Shrishma Rao V S and Dr. Poornima Shetty. Students receive dedicated course coordinators and placement assistance including resume building, industry-readiness sessions, alumni interactions, placement drives, interview preparation, and employability skill assessment. Upon graduation, students join MAHE's prestigious alumni network with global professional connections. Career opportunities include AI Software Development, Machine Learning Architecture, Chatbot Development, Data Engineering, Robotic Process Automation, and positions in healthcare, fintech, automotive, retail, telecommunications, and other industries.
Testimonials
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About the University
Established in 1953, MAHE is a private deemed university located in Manipal, Karnataka, India. Originally started as India's first self-financing medical college, it has evolved into a multi-disciplinary institution recognized as an Institution of Eminence by the Government of India. The university spans across 844 acres with campuses in Manipal, Mangalore, Bangalore, Jamshedpur, and international locations in Dubai and Malaysia. MAHE offers over 300 programs across 31+ streams, including medicine, engineering, management, humanities, and sciences.
#901-950
QS world ranking
#197
QS asia rank
#14
NIRF overall rank
Affiliation & Recognition
UGC
AICTE
NAAC
Institution of Eminence
Career services
MAHE provides comprehensive career development support through its dedicated placement cell. The institution facilitates student career growth through industry partnerships, recruitment drives, and career counseling services. Students benefit from extensive networking opportunities with top employers across sectors, including technology, healthcare, and management. The career services office organizes regular placement drives, industry interactions, and professional development workshops. The university's strong alumni network and industry connections help create valuable opportunities for internships and placements.
90%
Placement success rate
100+
Industry partnerships
51.03 LPA
Highest package
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
17th September 2025
Duration:
24 Months
₹ 2,20,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.