Online MCA in Artificial Intelligence
This comprehensive Online MCA in Artificial Intelligence program is designed to create future leaders in the rapidly evolving AI domain. Students gain expertise in machine learning, deep learning, natural language processing, and computer vision while mastering programming languages like Java, Python, and SQL. The program combines theoretical knowledge with hands-on practical exercises, preparing graduates for high-demand roles such as AI Engineer, ML Engineer, Data Scientist, and more. With a focus on real-world applications and cutting-edge technologies, this degree opens doors to exciting career opportunities in the booming AI industry.
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Course Start Date:
Starting soon
Application Deadline:
Closing soon
Duration:
2 Years
₹ 2,40,000
Overview
This program equips students with cutting-edge AI skills and knowledge essential for innovation in today's technology-driven world. With 40-60% increased employability and 70,000-100,000 job openings for MCAs, graduates gain competitive advantage in the rapidly growing AI field. The program offers exposure to advanced topics, mastery of key programming languages, and hands-on experience with real-world applications.
Why MCA (Master of Computer Applications)?
Comprehensive curriculum covering AI fundamentals to advanced applications
Exposure to Machine Learning, Deep Learning, Natural Language Processing, Computer Vision
Mastery of programming languages including Java, Python, and SQL
Hands-on practical and lab exercises with virtual laboratories
Cutting-edge LMS with dynamic and interactive learning experience
Equivalent to on-campus degree and globally recognized
What does this course have to offer?
Key Highlights
90 program credits designed for comprehensive AI education
2-year duration with flexible online learning format
Exposure to cutting-edge topics like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision
Mastery of in-demand programming languages including Java, Python, and SQL
Hands-on practical and lab exercises to supplement theoretical concepts
Industry-relevant curriculum covering AI engineering, data science, and machine learning roles
Virtual laboratories and micro-lessons through cutting-edge LMS platform
Career advancement services powered by foundit for enhanced job prospects
Globally recognized degree equivalent to on-campus JAIN University program
Access to trending AI roles including AI Engineer, ML Engineer, Data Scientist, and Cloud Engineer
Master thesis/project component for practical application of learned concepts
Comprehensive elective outcomes building proficiency in intelligent systems design and development
Who is this programme for?
Working professionals seeking AI expertise
Graduates from any stream with minimum 50% aggregate
Individuals interested in AI Engineering, ML Engineering, Data Science roles
Professionals looking to transition into AI domain
Students passionate about cutting-edge technology and innovation
Minimum Eligibility
Graduation (Min 50%)
Minimum aggregate of 50%
Relaxation of 5% for SC/ST candidates
Final semester Bachelor students eligible
Who is the programme for?
The program follows a structured admission process requiring graduation with minimum 50% marks from UGC recognized university. Students progress through 4 semesters over 2 years, with comprehensive evaluation through the Teaching Learning and Evaluation Plan (TLEP). The curriculum is designed with micro-lessons, virtual laboratories, and TAP-R Model for optimal learning outcomes.
Important Dates
Selection process
How to apply?
Curriculum
The curriculum spans 4 semesters covering mathematical foundations, programming, data structures, algorithms, database management, machine learning, neural networks, and advanced AI applications. Students engage with predictive analytics, web technologies, computer vision, natural language processing, and complete a capstone project for practical application of learned concepts.
There are 4 semesters in this course
Semester 1 focuses on Mathematical Foundation for Computer Application, Operating System and Unix Shell Programming, Data Communication and Computer Networks, Data Structures with Algorithms using Java, and Java Programming with associated labs. Semester 2 covers Relational Database Management System, Design and Analysis of Algorithms, Computer Organization and Architecture, Python for Data Science, and Statistical Methods in Decision Making. Semester 3 introduces Predictive Analytics using Machine Learning, Web Technologies, Advanced Database Systems, Recommendation Systems, and Advanced Machine Learning with practical labs. Semester 4 culminates with Model Deployment and AI in practice, Neural Networks and Deep Learning, Computer Vision, Natural Language Processing and GenAI, Professional Writing, and Capstone Project.
1st Semester
2nd Semester
3rd Semester
4th Semester
Programme Length
2 years program with flexible online delivery allowing students to balance studies with professional commitments. The program structure includes 4 semesters with comprehensive coverage of AI domains from foundational concepts to advanced applications.
Tuition Fee
The total program fee is ₹2,40,000 payable over 4 semesters at ₹60,000 per semester. Additional charges include a one-time university registration fee of ₹2,500 during admission and annual examination fees of ₹3,000. For international students from SAARC countries, the registration fee is ₹11,250 per year with exam fees of ₹3,750 annually. The fee structure is designed to be affordable while providing comprehensive education value. Students can contact the university for detailed payment schedules and any available financial assistance options.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Dynamic online learning experience through cutting-edge LMS platform with interactive features, virtual laboratories, micro-lessons, and TAP-R Model. Students engage with advanced educational framework designed for accessibility, flexibility, and immersion. The program includes hands-on practical exercises supplementing theoretical concepts.
University Experience
JAIN Online provides globally recognized degrees equivalent to on-campus programs from JAIN Deemed-to-be University. Students benefit from comprehensive career advancement services powered by foundit, alumni network working in top companies, and continuous support throughout their academic journey.
Testimonials
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About the University
Established in 1990 as Sri Mahaveer Jain College, JAIN (Deemed-to-be University) received deemed university status in 2008. Located in Bangalore, the Silicon Valley of India, it operates across 10 thriving campuses. The university offers comprehensive education through six faculties: Commerce, Creative Arts & Design, Engineering and Technology, Management, Humanities & Social Sciences, and Sciences. Known for its emphasis on education, entrepreneurship, research, and sports, JAIN has established itself as a hub for learning with state-of-the-art facilities and centers that inspire innovation
#65
NIRF Overall Ranking 2024
#95
NIRF Engineering Ranking 2024
#77
NIRF Management Ranking 2024
Affiliation & Recognition
UGC
NAAC
NBA
ISO
Career services
The university maintains a comprehensive career development ecosystem through its Student Career Advisory and Placement Support Team. Working in association with the International Institute of Global Studies (IIGS), they provide mandatory Campus Recruitment Leadership Training Programs for all placement-seeking students. The career services include specialized training sessions, workshops, and internship opportunities to enhance employability. The placement cell facilitates interactions with industry leaders, entrepreneurs, and policy makers, while also organizing guest lectures and alumni interactions. Students receive training in personality development, aptitude testing, and interview preparation
30LPA
Highest Package BTech
21.60LPA
Highest Package MBA
54.27%
BTech Placement Rate
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
Closing soon
Duration:
2 Years
₹ 2,40,000
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.