MCA in Artificial Intelligence and Machine Learning
The MCA in Artificial Intelligence and Machine Learning at UPES Online is a comprehensive 2-year program designed to meet the explosive growth in the AI market, projected to reach $1.81 trillion by 2030. This program equips students with hands-on expertise in deep learning, natural language processing, computer vision, and AI model deployment. Students gain practical skills through industry-relevant curriculum, global certifications from prestigious universities, and comprehensive career services. The program prepares graduates for high-demand roles such as AI Engineer, Data Scientist, and Machine Learning Specialist. With flexible online learning, students can balance their studies with professional commitments while building expertise in cutting-edge technologies that are transforming industries across healthcare, automotive, retail, and finance.
Instructors:
Dr. Varun Sapra
English
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Course Start Date:
Starting soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 1,70,000
Overview
The MCA in Artificial Intelligence and Machine Learning program at UPES Online is designed to address the explosive growth in AI technologies, with the global AI market projected to reach $1.81 trillion by 2030 at a CAGR of 37.3%. This comprehensive 2-year program provides hands-on expertise in cutting-edge technologies including deep learning, natural language processing, computer vision, and AI model deployment. The curriculum is structured across four semesters, combining theoretical foundations with practical applications. Students gain access to global certifications from prestigious universities like Wharton Online, University of Minnesota, and others, ensuring they stay competitive in the ever-evolving job market.
Why Master of Computer Applications (MCA)?
This program is ideal for professionals and graduates seeking to capitalize on the booming AI sector with promising growth opportunities. The AI market's remarkable expansion across industries such as healthcare, automotive, retail, and finance has created unprecedented demand for skilled AI professionals. UPES Online's MCA in AI & ML addresses this demand by providing comprehensive training that prepares students for high-demand roles including AI Engineer, Data Scientist, and Machine Learning Specialist. The program offers flexible online learning, allowing working professionals to enhance their skills without compromising their current commitments.
What does this course have to offer?
Key Highlights
Comprehensive 4-semester curriculum covering AI fundamentals to advanced applications
Global certifications from prestigious universities including Wharton Online and University of Minnesota
Hands-on training in deep learning, NLP, computer vision, and AI model deployment
Flexible online learning format suitable for working professionals
Comprehensive career services including placement assistance
Access to specialized Coursera courses tailored to your domain
Legacy university credentials with NAAC 'A' Grade and NIRF rankings
Affordable fee structure with flexible payment options
Who is this programme for?
Working professionals seeking career advancement in AI/ML
Recent graduates interested in cutting-edge technology careers
IT professionals looking to specialize in artificial intelligence
Data professionals wanting to enhance their machine learning skills
Entrepreneurs planning AI-driven business ventures
Anyone passionate about emerging technologies and innovation
Minimum Eligibility
Passed any graduation degree preferably with Mathematics at 10+2 level or at Graduation level
Obtained at least 50% marks in the qualifying examination
Candidates with minimum 2 years of work experience must have Bachelor's degree with minimum 45 percent aggregate marks
For candidates with Non-Mathematics/IT/Computer Science background completion of Basic Mathematics/Basic Computer Information Systems course required
Who is the programme for?
The admission process for the MCA in Artificial Intelligence and Machine Learning program requires candidates to have passed any graduation degree, preferably with Mathematics at 10+2 level or graduation level, with at least 50% marks. Candidates with minimum 2 years of work experience need a Bachelor's degree with minimum 45% aggregate marks. The academic structure spans 4 semesters over 2 years, with each semester focusing on progressive skill development from foundational concepts to advanced AI applications. The program follows a semester-wise fee structure with affordable monthly payment options.
Important Information
Selection process
How to apply?
Curriculum
The curriculum is meticulously designed across four semesters to provide comprehensive coverage of AI and ML concepts. The program begins with foundational subjects and progressively advances to specialized AI applications. Students engage with cutting-edge technologies through practical projects and industry-relevant coursework. The curriculum integrates global certifications and specialized courses to ensure students remain competitive in the rapidly evolving AI landscape.
There are 4 semesters in this course
Semester I focuses on foundational programming and mathematical concepts including Advance Python Programming, Data Base Management Systems, Discrete Mathematics, Object Oriented Programming using C++, Advance Data Structures, AI for everyone, and Web Technologies. Semester II builds upon these foundations with Operating Systems, Design and Analysis of Algorithm, Java Programming, Applied Machine Learning, Computer Graphics, and Object-Oriented Analysis and Design Using UML. Semester III introduces advanced concepts with Computer Networks, Advanced Java Programming, Software Engineering and Project Management, AR/VR Development, Deep Learning, and Project Dissertation. Semester IV culminates with specialized applications including Android Application Development, Pattern and Visual Recognition, and Computational Linguistics and Natural Language Processing.
SEMESTER I
SEMESTER II
SEMESTER III
SEMESTER IV
Programme Length
The program spans 24 months with flexible scheduling options. Students can choose self-paced learning or structured timelines based on their professional commitments. The program is designed to accommodate working professionals while ensuring comprehensive skill development in AI and ML technologies.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructor
Dr. Varun Sapra
Sr. Associate Professor
Dr. Varun Sapra is a highly-motivated and experienced computer science professional with a profound understanding of the field and a passion for sharing knowledge. He is an accomplished academic professional with 18 years of experience in both academia and industry. Holding a Ph.D. in Computer Science, he brings a wealth of expertise to his teaching and research endeavours. He has an impressive track record of instructing both undergraduate and graduate courses in various computer science subjects. His core interest areas cover topics such as programming languages, artificial intelligence, machine learning, and software engineering. By employing innovative teaching methods, he engages students and cultivates critical thinking and problem-solving skills.
Tuition Fee
The program fee structure is designed to be affordable and flexible. Indian students pay Rs. 1,70,000 total, which can be paid in convenient monthly installments of Rs. 7,727. International students pay $3,300. The program offers attractive merit scholarships and flexible payment options including low-interest loans and part-payments to make quality education accessible.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The learning experience emphasizes hands-on practical training with industry-relevant projects and case study-based pedagogy. Students engage with dynamic and interactive study materials, participate in workshops and masterclasses by global faculty, and gain access to specialized Coursera courses. The program combines theoretical knowledge with practical applications to enhance problem-solving skills using AI and real-world solutions.
University Experience
UPES Online provides a comprehensive university experience backed by strong academic credentials. The university is ranked 46th among Indian universities and 41st in the management category by NIRF 2024, holds NAAC 'A' Grade accreditation, and is recognized in the top 3% of universities worldwide by QS World University Rankings. Students receive dedicated support, access to extensive resources, and become part of a thriving alumni network.
Word from the Directors
Dr. Varun Sapra
Sr. Associate Professor
Dr. Varun Sapra is a highly-motivated and experienced computer science professional with 18 years of experience in both academia and industry. Holding a Ph.D. in Computer Science, he brings profound understanding and passion for sharing knowledge in programming languages, artificial intelligence, machine learning, and software engineering.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
UPES Dehradun is a leading multi-disciplinary university in India established through the UPES Act, 2003, and recognized by the UGC. Known for its specialized focus on energy, engineering, management, law, computer science, design, and allied sectors, UPES has been consistently ranked among the top private universities nationally and globally. The university is notable for industry-aligned programs, strong research culture, highly employable graduates, and collaborative partnerships with world-leading institutions and corporations.
#901-950
QS world university ranking
#148
QS Asia Ranking
#100
NIRF India Ranking
Affiliation & Recognition
UGC
NAAC
NIRF
CERN
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructor
Dr. Varun Sapra
Sr. Associate Professor
Dr. Varun Sapra is a highly-motivated and experienced computer science professional with a profound understanding of the field and a passion for sharing knowledge. He is an accomplished academic professional with 18 years of experience in both academia and industry. Holding a Ph.D. in Computer Science, he brings a wealth of expertise to his teaching and research endeavours. He has an impressive track record of instructing both undergraduate and graduate courses in various computer science subjects. His core interest areas cover topics such as programming languages, artificial intelligence, machine learning, and software engineering. By employing innovative teaching methods, he engages students and cultivates critical thinking and problem-solving skills.
Career services
UPES Dehradun provides a robust, multi-faceted career services ecosystem, designed to maximize employability and professional success for its diverse student body. The centralized Career Services team offers students ongoing support at every stage of their program, integrating industry internships, skill workshops, resume building exercises, and interview preparation into the core academic experience. Career counseling features a blend of group and personalized mentoring, delivered by experienced in-house specialists and strong industry partners. The university regularly hosts career fairs, sector-specific job weeks, and networking events, giving students direct access to leading recruiters.
94%
Placement rate
INR 50.09 LPA
Highest package
INR 7–8.5 LPA
Average package
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 1,70,000
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.