MCA in Artificial Intelligence and Machine Learning

An MCA in AI and ML equips individuals with advanced programming, algorithmic, and computational skills to design intelligent systems, develop machine learning models, and create innovative AI-driven solutions for real-world challenges.

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Alumni

10,000+

Accreditations / Approval

NAAC A Grade
UGC entitled

Duration

24 months

Fee

INR 1,70,000/-

EMI

Avail easy EMI options

Master of computers in Artificial Intelligence and Machine Learning

The global artificial intelligence market is expected to grow at a staggering CAGR of 37.3%, reaching $1.81 trillion by 2030, fueled by its transformative impact on industries like healthcare, automotive, retail, and finance. With AI-driven innovations reshaping businesses and processes, the demand for professionals skilled in AI and machine learning is at an all-time high, offering some of the most rewarding career opportunities.

UPES Online's 2-year MCA in Artificial Intelligence and Machine Learning prepares students with expertise in deep learning, natural language processing (NLP), computer vision, and AI model deployment. The program emphasizes practical skills in developing AI solutions, leveraging neural networks, and implementing scalable machine learning algorithms. With a curriculum designed to meet the needs of AI-driven industries, graduates are empowered to excel in roles like AI Engineer, Data Scientist, and Machine Learning Specialist, contributing to the future of intelligent systems.

Key highlights

100+ hours of self-paced, case-study based learning.

Live sessions by celebrated academics.

Weekend masterclasses by industry experts.

Dedicated student support manager for each learner.

Networking opportunities in supervised discussion forums.

Free access to career essential programmes through LinkedIn learning.

Career prospects

Entry Level Jobs: AI/ML Support Technician, Junior AI Developer, AI Security Analyst, Junior AI Security Engineer, AI Operations Analyst
Mid-Level Jobs: AI/ML Engineer, AI Infrastructure Specialist, AI Security Specialist, AI/ML Network Security Specialist, AI Security Consultant

Senior Level Jobs: AI/ML Solutions Architect, Chief AI Officer (CAIO), AI Security Manager Chief, AI & ML Security Officer (CAMS), AI & Security Strategy Director

Eligibility

Passed any graduation degree (e.g.: B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) preferably with Mathematics at 10+2 level or at Graduation level. Obtained at least 50% marks in the qualifying examination.

For candidates with Non-Mathematics /IT/Computer Science background

Candidates who have not studied Mathematics /IT/Computer Science in XII std. / 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.

Relaxation in Eligibility Criteria for Candidates with Work Experience

1. Candidates with minimum 2 years of work experience must have Bachelor's degree or equivalent in any discipline from a recognized university/institution with minimum 45 percent aggregate marks.

Syllabus

Semester 1

1 Weeks
. Hours

Advance Python Programming
Data Base Management Systems
Discrete Mathematics
Object Oriented Programming using C++
Advance Data Structures
AI for everyone

Semester 2

2 Weeks
. Hours

Web Technologies
Operating Systems
Design and Analysis of Algorithm
Java Programming
Applied Machine Learning
Computer Graphics

Semester 3

3 Weeks
. Hours

Object-Oriented Analysis and Design Using UML
Computer Networks
Advanced Java Programming
Software Engineering and Project Mgmt
AR/VR Development
Deep Learning

Semester 4

4 Weeks
. Hours

Project Dissertation
Android Application Development
Pattern and Visual Recognition
Computational Linguistics and Natural Language Processing

MBA (General) with specialisation in