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    Fees Details

    General

    1.16 L

    Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

    Course Details

    The Online Master of Computer Applications (MCA) at Chandigarh University Online is a two-year postgraduate programme designed for learners who want to build advanced knowledge in computer applications and software development. The programme is offered with specialisations such as Artificial Intelligence and Machine Learning (AI/ML), Agentic AI, Cloud Computing, Full Stack Development and Data Analytics, helping students develop skills in programming, database management, networking, web technologies and emerging digital technologies.

    The Chandigarh University Online MCA programme gives students access to live classes, recorded lectures and study resources. This flexible learning environment allows learners to continue their education while managing jobs or other responsibilities.

    After completing an Online MCA programme, students can explore career opportunities such as Software Developers, Full Stack Developers, Web Developers, Cloud Engineers, Data Analysts and Database Administrators. Depending on their chosen specialisation and experience, they can also pursue roles such as AI/ML Engineers, Data Scientists, Cloud Architects, Application Developers and Technology Consultants.


    Programme Offerings

    • UGC-entitled online degree
    • Industry-aligned curriculum
    • Harvard Business Publishing Education and KPMG-empowered courses
    • Built-in internship and job opportunities
    • Access to a job portal with 300+ hiring partners
    • Live sessions and teaching assistance s

    Eligibility Criteria

    Candidates applying for the Online MCA programme at Chandigarh University Online must meet the eligibility requirements specified by the university.

    • Applicants who have completed a BCA, BSc (Computer Science), BSc (IT), B.E/B.Tech (Computer Science) or B.E./B.Tech. (Information Technology) are eligible to apply.

    • Candidates with a bachelor's degree in any discipline, such as BSc, B.Com, BA, B.Voc, B.E or B.Tech, can also apply if they have studied Mathematics, Business Mathematics, Programming or Statistics either in Class 12 or during their graduation.

    Admission Details

    Admission to the Online MCA programme at Chandigarh University Online is conducted through an online application process. Candidates need to complete the application form, pay the programme fee and upload the required documents to secure admission.

    Application Details

    Step 1: Visit the official Chandigarh University Online website and register by providing basic details such as your name, email address, mobile number, programme choice and date of birth.

    Step 2: Log in using the credentials sent to your registered email address or mobile number and complete the online application form with your personal, contact and academic details.

    Step 3: Pay the programme fee through the online payment system to proceed with the admission process.

    Step 4: Upload the required documents and a recent passport-size photograph, then submit the application form.

    Step 5: After successful submission, candidates receive a confirmation message on their registered email address and mobile number. The university then reviews the application and completes the admission process.

    The Syllabus

    Online MCA at Chandigarh University Online follows a four-semester curriculum. The programme curriculum covers advanced topics in computer applications, programming, networking, cybersecurity and software development. In the third and fourth semesters, students can choose a specialisation in Cloud Computing, Full Stack Development, Data Analytics, Artificial Intelligence and Machine Learning, or Agentic AI. Students also gain access to Harvard ManageMentor courses that help develop leadership, management and professional skills.

    • Advanced Database Management System

    • Advanced Computer Networks

    • Web Programming

    • Python Programming

    • Network Security and Cryptography

    • Advanced Internet Programming

    • Design and Analysis of Algorithms

    • Software Testing

    • Web Application Development

    • Cyber Security

    Cloud Computing

    • Introduction to Cloud Computing

    • Introduction to Amazon Web Services

    • Introduction to Microsoft Azure Services

    • Cloud Programming

    • Cloud Virtualisation

    Full Stack Development

    • HTML, CSS and JavaScript

    • User Interface, Experience and Design

    • DevOps-I (Git, Jenkins, Docker)

    • Software Architecture

    • Prototyping

    Data Analytics

    • Data Analytics Using Python

    • SQL for Data Analytics

    • Web Analytics

    • Digital Media Analytics

    • IoT and Data Analytics

    Artificial Intelligence and Machine Learning

    • Machine Learning in Python

    • Statistics and Python in Machine Learning

    • Business Application of Machine Learning

    • Deep Learning and NLP

    • Web, Social Analytics and Visualisation

    Agentic AI

    • Advanced NLP and Language Models

    • Agentic AI and Multi-Agent Systems

    • RAG Systems and Knowledge Engineering

    • Large Language Model Engineering

    • AI for FinTech: Fraud Detection, UPI/India Stack Agents and DPDP Compliance

    Cloud Computing

    • Introduction to Google Cloud Services

    • Introduction to IBM Cloud Services

    • Capstone Project (Specialisation-Based with Live Industry Project)

    Full Stack Development

    • Web Services – REST API, ReactJS and NodeJS Development

    • DevOps-II (Ansible, Puppet, Nagios)

    • Capstone Project (Specialisation-Based with Live Industry Project)

    Data Analytics

    • Data Analytics Using R

    • Data Analytics for Decision Making

    • Capstone Project (Specialisation-Based with Live Industry Project)

    Artificial Intelligence and Machine Learning

    • Big Data Hadoop

    • AI for Enterprise

    • Capstone Project (Specialisation-Based with Live Industry Project)

    Agentic AI

    • AI Governance, Ethics and Research Methods

    • AI Product Management: Strategy, Road Mapping and Go-to-Market

    • Capstone Project (Specialisation-Based with Live Industry Project)

    Harvard ManageMentor Courses

    Students also receive access to Harvard ManageMentor courses, which focus on management, leadership and professional development skills. The available courses include:

    • Innovation and Creativity

    • Strategy Planning and Execution

    • Business Plan Development

    • Performance Measurement

    • Diversity, Inclusion and Belonging

    • Decision-Making

    • Ethics at Work

    • Team Management

    • Presentation Skills

    • Digital Intelligence

    Evaluation Process

    CU Online follows a structured evaluation process to assess students' academic performance throughout the programme. The assessment includes internal evaluations and term-end examinations conducted as per the university's academic guidelines.

    • The university follows a ten-point letter grading system for evaluation.

    • Theory and practical courses are evaluated out of 100 marks each. Internal assessments carry 30% weightage, while term-end examinations carry 70% weightage.

    • Assignments are made available through the Learning Management System (LMS) for students to download and complete.

    • Students may be given the option to appear for quizzes either online or at the university campus. Details regarding the quiz mode, schedule and related instructions are announced on the Chandigarh University Online website.

    • Term-end examinations are generally conducted in June and December. Examination schedules, notifications and other updates are communicated through the LMS and official Chandigarh University Online platforms.

    • Students must complete the online examination form and pay the prescribed examination fee before appearing for the exams.

    • E-hall tickets are made available online for eligible students before the examinations.

    • Students can apply for re-evaluation of a course paper by submitting an online application and paying the required fee within the prescribed timeline. If the marks increase by more than 10% of the total marks after re-evaluation, the re-evaluation fee is refunded to the student.

    • Term-end examination results are announced through the official Chandigarh University Online website.

    CU Online Frequently Asked Questions (FAQ's)

    1: What is the duration of the Online MCA programme at Chandigarh University Online?

    The Online MCA programme is a two-year postgraduate programme divided into four semesters.

    2: Who can apply for the Online MCA programme?

    Candidates with a BCA, BSc (Computer Science), BSc (IT), B.E/B.Tech (CSE/IT) or a bachelor's degree with Mathematics, Business Mathematics, Programming or Statistics are eligible to apply.

    3: What specialisation options are available in the Online MCA programme?

    Students can choose from specialisations such as Cloud Computing, Full Stack Development, Data Analytics, Artificial Intelligence and Machine Learning (AI/ML), and Agentic AI.

    4: Does the programme include industry projects?

    Yes, students are required to complete a specialisation-based capstone project with a live industry project in the final semester.

    5: What career opportunities are available after completing the Online MCA programme?

    Graduates can explore opportunities as Software Developers, Full Stack Developers, Cloud Engineers, Data Analysts, AI/ML Engineers, Data Scientists, Database Administrators and Technology Consultants across various industries.

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