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    Scholarships & exams

    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    2 Years

    Masters Of Computer Applications

    Viswam Degree College Chittoor
    Duration
    2 Years
     Masters Of Computer Applications PG OFFLINE

    Duration

    2 Years

    Masters Of Computer Applications

    Viswam Degree College Chittoor
    Duration
    Apply

    Fees

    ₹1,20,000

    Placement

    93.0%

    Avg Package

    ₹6,20,000

    Highest Package

    ₹9,50,000

    OverviewAdmissionsCurriculumFeesPlacements
    2 Years
    Masters Of Computer Applications
    PG
    OFFLINE

    Fees

    ₹1,20,000

    Placement

    93.0%

    Avg Package

    ₹6,20,000

    Highest Package

    ₹9,50,000

    Seats

    30

    Students

    120

    ApplyCollege

    Seats

    30

    Students

    120

    Curriculum

    Curriculum Overview

    The curriculum of the Masters of Computer Applications (MCA) program at Viswam Degree College Chittoor is designed to provide a comprehensive and rigorous academic experience that aligns with global standards. It emphasizes both theoretical knowledge and practical application, ensuring that students are well-prepared for careers in the rapidly evolving field of information technology.

    Course Structure

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    IMCA101Mathematics for Computer Applications3-0-0-3None
    IMCA102Data Structures & Algorithms3-0-0-3MCA101
    IMCA103Database Management Systems3-0-0-3MCA102
    IMCA104Object-Oriented Programming3-0-0-3MCA102
    IMCA105Computer Networks3-0-0-3MCA104
    IIMCA201Operating Systems3-0-0-3MCA105
    IIMCA202Software Engineering3-0-0-3MCA104
    IIMCA203Web Technologies3-0-0-3MCA104
    IIMCA204Discrete Mathematics3-0-0-3MCA101
    IIMCA205System Design Principles3-0-0-3MCA201
    IIIMCA301Artificial Intelligence & Machine Learning3-0-0-3MCA202
    IIIMCA302Cybersecurity Fundamentals3-0-0-3MCA201
    IIIMCA303Cloud Computing3-0-0-3MCA201
    IIIMCA304Data Analytics & Visualization3-0-0-3MCA202
    IIIMCA305Mobile Application Development3-0-0-3MCA203
    IVMCA401Advanced Machine Learning3-0-0-3MCA301
    IVMCA402Blockchain Technology3-0-0-3MCA302
    IVMCA403Natural Language Processing3-0-0-3MCA301
    IVMCA404Computer Vision3-0-0-3MCA301
    IVMCA405Quantitative Finance & Algorithmic Trading3-0-0-3MCA304
    VMCA501Capstone Project - AI & ML Track0-0-6-3MCA401, MCA403
    VMCA502Capstone Project - Cybersecurity Track0-0-6-3MCA402
    VMCA503Capstone Project - Data Science Track0-0-6-3MCA404, MCA405
    VMCA504Internship Program0-0-12-6All previous semesters
    VMCA505Career Counseling & Placement Preparation0-0-3-1All previous semesters

    Advanced Departmental Electives

    The MCA program offers several advanced departmental electives that allow students to deepen their expertise in specific areas:

    • Advanced Machine Learning: This course delves into deep learning architectures, reinforcement learning, and neural architecture search. Students work on real-world datasets to implement complex models.
    • Blockchain Technology: Explores blockchain consensus mechanisms, smart contracts, decentralized applications, and cryptographic techniques used in financial and supply chain systems.
    • Natural Language Processing: Focuses on language modeling, sentiment analysis, machine translation, and conversational AI systems. Students build chatbots and text summarization tools.
    • Computer Vision: Covers image recognition, object detection, facial recognition, and autonomous vehicle technologies using OpenCV and TensorFlow.
    • Quantitative Finance & Algorithmic Trading: Combines financial theory with computational methods for trading strategies, risk management, and portfolio optimization.
    • IoT Security: Addresses security challenges in IoT devices and networks, including encryption, authentication, and intrusion detection systems.
    • DevOps Practices: Emphasizes automation, continuous integration, containerization using Docker, and cloud-native development with Kubernetes.
    • Mobile App Testing: Covers testing frameworks for iOS and Android apps, performance optimization, and user experience validation techniques.
    • Enterprise Resource Planning (ERP): Introduces ERP systems like SAP and Oracle, focusing on implementation, customization, and integration with existing business processes.
    • Distributed Systems: Explores design principles of distributed computing, fault tolerance, consensus protocols, and scalable system architecture.

    Project-Based Learning Philosophy

    Our department believes that project-based learning is essential for developing practical skills and fostering innovation. The curriculum integrates mini-projects throughout the program to reinforce theoretical concepts with hands-on experience.

    Mini-projects are assigned at the end of each semester:

    • First Semester Mini-Project: Focuses on data structures and algorithmic problem-solving through coding challenges.
    • Second Semester Mini-Project: Involves database design and implementation using SQL queries and relational models.
    • Third Semester Mini-Project: Centers around web development with full-stack technologies including HTML, CSS, JavaScript, and backend scripting languages.

    The final-year thesis or capstone project is a significant component of the program:

    • Project Selection Process: Students propose project ideas aligned with their interests and faculty expertise. Proposals are reviewed by academic advisors for feasibility and relevance.
    • Mentor Assignment: Each student is paired with a faculty mentor based on their specialization area and research interests.
    • Evaluation Criteria: Projects are evaluated based on originality, technical execution, presentation quality, and impact on real-world applications.