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    Scholarships & exams

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

    Duration

    4 Years

    Information Technology

    School of Computer Science and Information Technology
    Duration
    4 Years
     Information Technology UG OFFLINE

    Duration

    4 Years

    Information Technology

    School of Computer Science and Information Technology
    Duration
    Apply

    Fees

    N/A

    Placement

    94.0%

    Avg Package

    ₹65,00,000

    Highest Package

    ₹1,20,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Information Technology
    UG
    OFFLINE

    Fees

    N/A

    Placement

    94.0%

    Avg Package

    ₹65,00,000

    Highest Package

    ₹1,20,00,000

    Seats

    N/A

    Students

    N/A

    ApplyCollege

    Seats

    N/A

    Students

    N/A

    Curriculum

    Comprehensive Course Structure

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    ICS101Introduction to Programming3-0-0-3None
    IMA101Calculus I4-0-0-4None
    IPH101Physics I3-0-0-3None
    ICH101Chemistry3-0-0-3None
    IHS101English Communication2-0-0-2None
    IICS201Data Structures and Algorithms3-0-0-3CS101
    IIMA201Calculus II4-0-0-4MA101
    IIPH201Physics II3-0-0-3PH101
    IICS202Object-Oriented Programming3-0-0-3CS101
    IIEE201Electrical Circuits3-0-0-3PH101
    IIICS301Database Management Systems3-0-0-3CS201
    IIICS302Operating Systems3-0-0-3CS201
    IIIMA301Linear Algebra4-0-0-4MA201
    IIICS303Software Engineering3-0-0-3CS202
    IIICS304Computer Networks3-0-0-3CS201
    IVCS401Web Technologies3-0-0-3CS202
    IVCS402Compiler Design3-0-0-3CS301
    IVCS403Digital Logic & Microprocessors3-0-0-3EE201
    IVMA401Probability and Statistics4-0-0-4MA201
    IVCS404Human Computer Interaction3-0-0-3CS301
    VCS501Machine Learning3-0-0-3MA401
    VCS502Cybersecurity Fundamentals3-0-0-3CS304
    VCS503Data Mining and Analytics3-0-0-3MA401
    VCS504Cloud Computing3-0-0-3CS301
    VCS505Internet of Things3-0-0-3CS304
    VICS601Advanced Machine Learning3-0-0-3CS501
    VICS602Distributed Systems3-0-0-3CS404
    VICS603Network Security3-0-0-3CS502
    VICS604Quantum Computing3-0-0-3CS301
    VICS605Software Testing and Quality Assurance3-0-0-3CS303
    VIICS701Capstone Project I3-0-0-3All previous courses
    VIICS702Research Methodology3-0-0-3CS501
    VIIICS801Capstone Project II6-0-0-6CS701

    Detailed Course Descriptions

    The following are detailed descriptions of advanced departmental elective courses offered in the Information Technology program:

    • Advanced Machine Learning (CS601): This course delves into advanced techniques in deep learning, reinforcement learning, and natural language processing. Students will implement state-of-the-art models using frameworks like TensorFlow and PyTorch.
    • Distributed Systems (CS602): Focuses on designing and implementing scalable systems across multiple nodes. Topics include consensus algorithms, distributed databases, and cloud computing infrastructures.
    • Network Security (CS603): Explores modern security threats and defense mechanisms in network environments. Students will gain hands-on experience with firewalls, intrusion detection systems, and secure protocols.
    • Quantum Computing (CS604): Introduces quantum algorithms, qubit manipulation, and quantum programming using platforms like Qiskit and Cirq.
    • Software Testing and Quality Assurance (CS605): Covers automated testing tools, software quality metrics, and agile methodologies for ensuring robust software delivery.

    Project-Based Learning Philosophy

    The Information Technology program emphasizes project-based learning as a core component of education. Students are required to complete two major projects during their academic journey:

    1. Mini Projects (Years 3 and 4): These projects are conducted in teams under faculty supervision. They involve solving real-world problems using IT tools and methodologies.
    2. Final-Year Thesis/Capstone Project: A comprehensive, independent research or development project that showcases the student's mastery of IT principles and applications.

    The evaluation criteria include peer reviews, faculty assessments, presentation quality, innovation level, and impact on industry or society. Students select projects based on personal interest, faculty availability, and industry relevance.