MCA - Master of Computer Applications at Sharda University
The Master of Computer Applications (MCA) at Sharda University is a 2-year, 4-semester online degree accredited by NAAC A+, designed for BCA or B.Sc. CS graduates. The programme offers nine specialisation tracks including AI, Data Science, Cloud Computing, MLOps, Generative AI, Cybersecurity, and Full-Stack Development. Core technologies span C++, Java, Python, React, Docker, Kubernetes, and TensorFlow, with GPU-enabled virtual labs in every semester. Semester 1 covers OS, computer architecture, data communications, and foundational AI, while Year 2 advances into specialisation modules and an 8-credit industry capstone on real-world datasets. An AI-powered platform with mobile app, AI interviewer, and resume builder supports learning throughout. Graduates have been placed at TCS, Infosys, Wipro, Flipkart, Razorpay, and 150+ recruiting partners, with a 90% placement rate, average package of Rs 8 LPA, and highest of Rs 28 LPA.
English
Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
2 Years
₹ 1,30,000
Overview
Sharda University's online MCA is a NAAC A+ accredited 2-year postgraduate programme across 4 semesters. Designed for BCA and B.Sc. CS graduates, it offers nine specialisation tracks: Software Engineering, AI, Data Science, Cloud Computing, MLOps, Generative AI, Cybersecurity, Full-Stack Development, and Big Data Analytics. GPU-enabled virtual labs, Docker and Kubernetes sandboxes, and MLflow environments are available from Semester 1. The curriculum culminates in an 8-credit industry capstone in Semester 4. An AI-powered platform with mobile app, AI interviewer, and resume builder supports learning throughout. With 150+ recruiting partners, a 90% placement rate, average package of Rs 8 LPA, and highest package of Rs 28 LPA, the programme has a strong placement track record.
Why MCA (Master of Computer Applications)?
Sharda's MCA combines NAAC A+ accreditation with nine specialisation tracks and three sub-tracks each, offering career-aligned depth rarely found in standard postgraduate programmes. The capstone-first philosophy means students ship an 8-credit industry project on real datasets by Year 2. GPU labs, Kubernetes sandboxes, and MLflow environments are available from day one. The AI-powered ecosystem includes mock interviews and a resume builder to prepare students for placement throughout the programme. With a 90% placement rate and 150+ recruiting partners including Flipkart, Razorpay, and IBM, the programme demonstrates consistent industry demand.
What does this course have to offer?
Key Highlights
NAAC A+ accredited online MCA degree
9 specialisation tracks including AI, MLOps, Generative AI, Cloud, and Full-Stack
8-credit industry capstone project on real-world datasets in Semester 4
GPU labs and virtual coding environments from Semester 1
AI-powered learning platform with mobile app, AI interviewer, and resume builder
90% placement rate with 150+ recruiting partners
Average package Rs 8 LPA and highest package Rs 28 LPA
January and July intake batches
Interested in career outcomes and specializations?
Who is this programme for?
BCA or B.Sc. CS graduates targeting senior software engineering or AI roles
Aspiring AI, ML, or data engineers wanting GPU lab and real-world project exposure
Graduates targeting cloud architecture, DevOps, or cybersecurity careers
Technology professionals seeking a recognised postgraduate qualification
Builders and entrepreneurs looking for a project-driven MCA with capstone opportunities
Minimum Eligibility
Bachelor's degree in BCA, B.Sc. CS, or equivalent
Selection via graduation aggregate or Sharda Entrance Test
Technical counselling session required for specialisation mapping
Submission of graduation marksheet and personal details required
Seats are limited; applications reviewed on rolling basis
Not sure whether you qualify for this programme?
Who is the programme for?
Admission requires a qualifying undergraduate degree in BCA, B.Sc. CS, or equivalent. Selection is based on graduation aggregate or performance in the Sharda Entrance Test covering technical aptitude and reasoning. Shortlisted applicants undergo a one-on-one technical counselling session to map their background to the most appropriate specialisation. Successful candidates receive an offer letter confirming programme, batch, and specialisation. Enrollment is completed via fee payment and document verification. Intakes are January and July on a rolling basis with limited seats. Year 1 covers OS, computer architecture, data communications, DBMS, software engineering, Java, and AI fundamentals. Year 2 covers specialisation modules, statistical methods, applied AI and ML, neural networks, Agile product management, and the 8-credit industry capstone.
Selection process
How to apply?
Curriculum
The MCA curriculum spans 4 semesters with increasing credit weight: Semester 1 (19 Cr), Semester 2 (18 Cr), Semester 3 (20 Cr), Semester 4 (23 Cr). Year 1 builds computing foundations: Semester 1 covers mathematical foundations, C++ problem-solving, OS and Unix, computer architecture, data communications, networking, and foundational AI. Semester 2 covers data structures and algorithms, DBMS, software engineering, Java programming, logical and soft skills, and AI ethics. Year 2 introduces specialisation depth: Semester 3 covers Python application programming, algorithm design, statistical methods, data visualisation, and the chosen specialisation elective. Semester 4 covers AI and ML, neural networks, Agile product management, specialisation continuation, and the 8-credit industry capstone. Nine specialisation tracks are available: Software Engineering, AI, Data Science, Cloud Computing, MLOps, Generative AI, Cybersecurity, Full-Stack Development, and Big Data Analytics.
There are 4 semesters in this course
Year 1 builds a computing foundation across two semesters. Semester 1 opens with mathematical foundations and C++ problem-solving, followed by OS and Unix shell programming, computer architecture, and data communications. An introductory AI module introduces key concepts early. Virtual labs with Docker and Kubernetes support hands-on learning from the start. Semester 2 deepens foundations with data structures and algorithms, relational database management, software engineering, Java programming, and AI ethics. Year 2 pivots to applied depth. Semester 3 covers Python programming, algorithm analysis, statistical methods, data visualisation, and the chosen specialisation track. Semester 4 integrates AI and ML, neural networks and deep learning, Agile product management, specialisation continuation, and the 8-credit industry capstone. The capstone requires students to independently solve a real or open-dataset problem and deliver production-grade output. GPU environments and MLflow are available in AI and data specialisation semesters.
Semester 1
Semester 2
Semester 3
Semester 4
Programme Length
2 years across 4 semesters. January and July intake batches available each year.
Tuition Fee
The total programme fee for Indian national students is Rs 1,30,000 for the full 2-year MCA, structured at Rs 32,500 per semester or Rs 65,000 per year. A one-time registration fee of Rs 500 and an annual examination fee of Rs 3,500 apply in addition to tuition. SAARC-region students pay Rs 1,000 registration and Rs 5,000 annual examination fees. International students are billed in USD: total tuition is USD 2,000 (USD 500 per semester), plus USD 10 registration and USD 60 annual examination fees. The fee structure is described as transparent with no hidden costs.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
The programme is delivered through an AI-powered platform integrating web, mobile, virtual labs, and an AI tutor into a single learner profile. Lecture content is supplemented by AI-generated notes, in-video transcripts, and a Q&A interface. A mobile app provides access to courses, timetables, attendance tracking, flash card quizzes, and a coding keyboard for programming practice on any device. Virtual labs are central: GPU-enabled environments support AI and ML workloads, Docker and Kubernetes sandboxes support DevOps and cloud modules, and MLflow supports model tracking. Build sprints require students to ship working software each semester. The platform includes an AI mock interviewer with real-time feedback, a resume builder, digital blogs, and a cohort leaderboard. Faculty include academicians with IIT and IIM backgrounds. Industry interactions and hackathons supplement formal curriculum.
University Experience
Sharda University is a NAAC A+ accredited institution at Knowledge Park III, Greater Noida, Uttar Pradesh. The campus is Wi-Fi enabled with cloud infrastructure supporting both on-campus and online students. State-of-the-art computing labs, a digital and physical library, annual tech fests, cultural events, hackathons, and industry interactions form the broader university experience. The MCA online programme is built on the same AI-powered infrastructure, ensuring online students access the same platform quality and placement support as campus students. The university maintains 150+ company partnerships for placement and positions itself as India's first online AI university with frontier AI tools embedded across every degree.
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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
₹ 1,30,000
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.