Online MCA in Artificial Intelligence - Sharda University

The online MCA in Artificial Intelligence from Sharda University is a two-year, four-semester postgraduate degree for BCA, B.Sc. Computer Science, or equivalent graduates who want to specialise in building intelligent systems. The first year establishes strong computing foundations across mathematics, operating systems, computer architecture, networks, data structures, databases, and core programming in Java and Python, alongside an early introduction to AI and AI ethics.\n\nIn the second year, learners move into the Artificial Intelligence specialisation, working with subjects such as Artificial Intelligence and Machine Learning and Neural Networks and Deep Learning, supported by hands-on virtual labs covering tools such as Docker, Kubernetes, and MLflow. The program culminates in an 8-credit industry capstone project built on real-world datasets.\n\nGraduates leave with practical skills in machine learning, neural network design, and software engineering, backed by a NAAC A+ accredited degree, an AI-powered learning platform, and placement assistance through a network of 150+ technology hiring partners.

English

Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
2 Years

₹ 1,30,000

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Overview

In the second year, learners move into the Artificial Intelligence specialisation, working with subjects such as Artificial Intelligence and Machine Learning and Neural Networks and Deep Learning, supported by hands-on virtual labs covering tools such as Docker, Kubernetes, and MLflow. The program culminates in an 8-credit industry capstone project built on real-world datasets.

Graduates leave with practical skills in machine learning, neural network design, and software engineering, backed by a NAAC A+ accredited degree, an AI-powered learning platform, and placement assistance through a network of 150+ technology hiring partners.

Why MCA (Master of Computer Applications)?

Choosing the Artificial Intelligence specialisation means learning to design, train, and apply intelligent systems rather than just studying AI in theory. The curriculum builds directly on the program's core AI and AI Ethics subjects from Year 1, then deepens into Artificial Intelligence and Machine Learning and Neural Networks and Deep Learning in Year 2, giving learners a structured progression from fundamentals to applied modelling.

Hands-on virtual labs introduce tools used in real AI workflows, and the 8-credit capstone project gives learners a chance to apply machine learning techniques to an open dataset or industry problem, building a portfolio piece that demonstrates practical skill rather than just coursework.

With an overall 90% placement rate, an average package of ₹8 LPA, and AI/ML Engineer roles reaching up to ₹28 LPA among recent placements, the specialisation is designed to connect directly to in-demand technology careers, supported by a recruiting network of 150+ partner companies.

What does this course have to offer?

Key Highlights

Advanced Data Structures, Operating Systems, and Computer Architecture from Semester 1
Choice of specialization track from 9 options including AI, Data Science, Cloud Computing, and more
Hands-on virtual labs covering Docker, Kubernetes, and MLflow
8-credit industry capstone project in Semester 4 built on real-world datasets
Core programming strength built through Java, Python, and software design patterns
NAAC A+ accredited degree backed by 150+ technology hiring partners

Interested in career outcomes and specializations?

Who is this programme for?

BCA, B.Sc. Computer Science, or equivalent graduates who want to specialise in building intelligent systems
Fresh graduates aiming for AI/ML Engineer or related machine learning roles
Learners who want a structured, fully online postgraduate path into artificial intelligence
Candidates without prior work experience, since the program is open to fresh graduates
Aspiring professionals seeking a NAAC A+ accredited MCA with placement support

Minimum Eligibility

Bachelor's degree in BCA, B.Sc. Computer Science, or an equivalent discipline
Minimum aggregate marks as per Sharda University norms
Selection through graduation aggregate or the Sharda Entrance Test
Entrance Test evaluates technical aptitude and reasoning ability
Technical counselling session to confirm specialization fit
Valid identification documents for admission verification

Not sure whether you qualify for this programme?

Who is the programme for?

Admission to the MCA program follows a structured five-step process. Applicants begin by submitting an online application along with their graduation marksheet and personal details. Selection is based on either the graduation aggregate or performance in the Sharda Entrance Test, which assesses technical aptitude and reasoning. Shortlisted candidates go through a technical counselling session where faculty help match their academic background to the most suitable specialization track. Once selected, candidates receive an official offer letter confirming their program and chosen specialization, followed by enrollment after document verification. Academically, the program is structured across four semesters spread over two years, combining a common core curriculum in the first two semesters with specialization electives and an industry capstone project in the final year.

Selection process

How to apply?

Curriculum

The MCA curriculum is structured across four semesters over two years. The first year builds computing foundations through subjects such as Mathematical Foundations for Computing, Problem Solving and Computational Thinking, Operating System and Unix Shell Programming, Computer Architecture and Organization, Data Communication and Computer Networks, Data Structures and Algorithms, Database Management Systems, Software Engineering Fundamentals, and Java Programming. The second year shifts toward specialization and applied work, with subjects including Application Programming in Python, Design and Analysis of Algorithms, Statistical Methods in Decision Making, Data Visualization, Technology Product Management and Agile Delivery, Artificial Intelligence and Machine Learning, and Neural Networks and Deep Learning, alongside specialization-specific electives and an 8-credit industry capstone project.

There are 4 semesters in this course

Across the four semesters, learners progress from core computing subjects in the first year to specialization-focused electives and an industry capstone in the second year. Semester 1 covers Mathematical Foundations for Computing, Problem Solving and Computational Thinking, Operating System and Unix Shell Programming, Computer Architecture and Organization, Data Communication and Computer Networks, and Foundations of AI. Semester 2 covers Data Structures and Algorithms, Database Management Systems, Software Engineering Fundamentals, Java Programming, and AI Ethics and Responsible Technology. Semester 3 covers Application Programming in Python, Design and Analysis of Algorithms, Statistical Methods in Decision Making, and Data Visualization, alongside a specialization elective. Semester 4 covers Technology Product Management and Agile Delivery, Artificial Intelligence and Machine Learning, and Neural Networks and Deep Learning, alongside a second specialization elective and the 8-credit capstone project. In the Artificial Intelligence track, the elective coursework in semesters three and four builds on the core Artificial Intelligence and Machine Learning and Neural Networks and Deep Learning subjects, deepening learners' ability to design and apply intelligent systems within the capstone project.

Semester 1

Semester 2

Semester 3

Semester 4

Programme Length

2 years (4 semesters); fully online with a fixed semester-wise academic calendar

Tuition Fee

The MCA program follows a semester-wise fee structure rather than a single lump-sum payment. Domestic students pay a total program fee split evenly across four semesters, in addition to a one-time registration charge and an annual examination fee. International and SAARC-country students are charged under separate fee categories, with proportionate registration and examination charges. The semester-wise structure spreads the overall cost across the two-year program rather than requiring full payment upfront, and the university states there are no hidden costs beyond the published tuition, registration, and examination charges.

Fee Structure

Payment options

Need help understanding fees, EMI options, or scholarships?

Learning Experience

Learning is delivered through an AI-powered ecosystem spanning web, mobile, and virtual lab environments tied to a single learner profile. Each lesson combines a video lecture with auto-summarised AI notes, a searchable transcript, and a live Q&A panel, while an AI Daily Plan recommends a short, focused study session to keep learners on track. A companion mobile app extends this experience with progress reports, flash-card quizzes, digital blogs, an AI mock interviewer for placement preparation, a resume builder, class chat with cohort peers, and attendance tracking. Hands-on virtual labs give learners practical exposure to tools such as Docker, Kubernetes, and MLflow from early semesters, and a cohort leaderboard adds a light element of peer benchmarking to ongoing coursework.

University Experience

Sharda University's MCA program is delivered through a NAAC A+ accredited online university framework, with course design and academic input from senior academicians, including faculty associated with IIT and IIM. Learners are supported by an integrated digital ecosystem that includes virtual GPU-backed labs, an AI learning companion, and a placement network of 150+ recruiting partners spanning major technology and IT services companies. Frontier AI tools are embedded directly into the learning platform, and learners benefit from end-to-end placement support, including AI-based mock interviews and resume building, designed to prepare them for technology careers after graduation.

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About the University

Established in 2009, Sharda University is a private university located in Greater Noida, Uttar Pradesh, India. The university has emerged as a leading center for education, research, and innovation, with a strong focus on global education. It operates through 14 schools offering diverse programs across engineering, medical, dental, nursing, pharmacy, business, law, and other disciplines. The university is known for its international outlook, hosting students from 95+ countries and maintaining 250+ global academic partnerships.

#86

NIRF University Rank 2024

#219

QS Southern Asia Rank 2024

17000+

Total Students

Affiliation & Recognition

UGC

NAAC

PCI

Association of Commonwealth Universities

Career services

The Career Counseling and Development Centre (CCDC) at Sharda University provides comprehensive career support services. The center offers guidance for higher education, placement preparation, internship opportunities, and entrepreneurship guidance. It helps students with resume preparation, communication skills development, interview preparation, and business writing. The CCDC also conducts mock interviews and leadership development programs. The center acts as a bridge between academia and industry, helping students transition smoothly into their professional careers.

40LPA

Highest Package 2024

450+

Total Recruiters

100%

Placement Rate MBA

Top Recruiters

Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
2 Years