₹ 1.75 L
The MCA in Artificial Intelligence and Machine Learning at UPES Online is a two-year online programme designed for aspiring computer science and IT professionals. The programme blends the fundamentals of software development and programming with specialised expertise in AI technologies.
The curriculum of MCA in Artificial Intelligence and Machine Learning at UPES Online covers in-demand technical skills, enabling learners to thrive in leadership roles across the rapidly evolving global technology landscape. Whether you are a working professional, aspiring entrepreneur, or a tech enthusiast looking to upskill, this online MCA offers an effective pathway to career advancement in Artificial Intelligence and Machine Learning.
To be eligible for the UPES Online MCA in Artificial Intelligence and Machine Learning, candidates must have:
A Bachelor’s degree (B.E. /B.Tech./B.Sc/B.Com. / B.A./ B. Voc./BCA) preferably with Mathematics at 10+2 level or at Graduation level.
Obtained at least 50% marks in the qualifying examination.
Candidates who have not studied Mathematics/IT/Computer Science in Class 12 / Graduation, will be required to complete a Basic Mathematics/Basic Computer Information Systems course, respectively.
Final admission will be subject to qualifying the aforesaid course within 6 weeks of provisional admission.
Candidates with minimum 2 years of work experience must have a Bachelor's degree or equivalent in any discipline from a recognized university/institution with minimum 45 percent aggregate marks.
Admission to the MCA in Artificial Intelligence and Machine Learning at UPES Online is an online process. Eligible candidates initiate the admission by submitting the online application form through the official website. After the initial screening, shortlisted applicants are contacted by admission counselors for guidance on the next steps.
Applicants must follow all the instructions to apply for UPES Online MCA in Artificial Intelligence and Machine Learning:
Step 1: Visit the official website - upesonline.ac.in/mca-in-artificial-intelligence-and-machine-learning
Step 2: Click on the ‘Apply Now’ option
Step 3: Submit the online application form
Step 4: Upload the necessary academic documents
Step 4: Await admission confirmation
Step 5: After confirmation, complete the admission by paying the admission fee
Step 6: Receive official admission confirmation and student login credentials for the online learning portal.
The syllabus of online MCA Artificial Intelligence and Machine Learning at UPES Online is structured across four semesters, combining foundational computer science concepts with advanced artificial intelligence and data analytics applications. The detailed UPES Online MCA Artificial Intelligence and Machine Learning syllabus is given below:
Advance Python Programming
Data Base Management Systems
Discrete Mathematics
Object Oriented Programming using C++
Advance Data Structures
AI for everyone
Web Technologies
Operating Systems
Design and Analysis of Algorithm
Java Programming
Applied Machine Learning
Computer Graphics
Object-Oriented Analysis and Design Using UML
Computer Networks
Advanced Java Programming
Software Engineering and Project Mgmt
AR/VR Development
Deep Learning
Project Dissertation
Android Application Development
Pattern and Visual Recognition
Computational Linguistics and Natural Language Processing
To assess students’ performance, UPES Online conducts internal assessments, assignments, and semester-end examinations for the Online MCA Artificial Intelligence and Machine Learning programme. The examinations assess both theoretical understanding and practical application.
Yes, the programme is globally recognized and accepted by employers and institutions globally.
Yes, UPES Online offers merit-based scholarships for eligible students.
Yes, UPES Online offers comprehensive career orientation sessions, enabling participants to explore various career paths and gain clarity on their aspirations.
The programme is recognised and approved by the UGC DEB. It offers an industry-aligned curriculum and hands-on training, ensuring employability and credibility among recruiters globally.
After completing the programme, graduates can explore roles such as AI/ML Support Technician, AI Security Analyst, AI Security Engineer, AI Infrastructure Specialist, AI/ML Network Security Specialist, and AI Operations Analyst.