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

    Duration

    4 Years

    Bachelor of Technology in Computer Science

    Mahakaushal University Jabalpur
    Duration
    4 Years
    Computer Science UG OFFLINE

    Duration

    4 Years

    Bachelor of Technology in Computer Science

    Mahakaushal University Jabalpur
    Duration
    Apply

    Fees

    ₹12,00,000

    Placement

    92.0%

    Avg Package

    ₹5,00,000

    Highest Package

    ₹8,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Computer Science
    UG
    OFFLINE

    Fees

    ₹12,00,000

    Placement

    92.0%

    Avg Package

    ₹5,00,000

    Highest Package

    ₹8,00,000

    Seats

    100

    Students

    250

    ApplyCollege

    Seats

    100

    Students

    250

    Curriculum

    Curriculum Overview

    The Computer Science curriculum at Mahakaushal University Jabalpur is meticulously designed to provide a comprehensive understanding of both theoretical and practical aspects of computing. The program spans eight semesters, with each semester comprising core subjects, departmental electives, science electives, and laboratory sessions. This structured approach ensures that students develop strong foundational knowledge while also exploring specialized areas of interest.

    Semester-wise Course Structure

    SEMESTERCOURSE CODECOURSE TITLECREDIT STRUCTURE (L-T-P-C)PRE-REQUISITES
    ICS101Programming in C3-0-0-2None
    ICS102Mathematics I4-0-0-2None
    ICS103Physics for Computer Science3-0-0-2None
    ICS104Chemistry for Engineers3-0-0-2None
    ICS105English Communication Skills3-0-0-2None
    ICS106Introduction to Computing3-0-0-2None
    IICS201Data Structures and Algorithms4-0-0-3CS101
    IICS202Mathematics II4-0-0-2CS102
    IICS203Electrical and Electronic Circuits3-0-0-2CS103
    IICS204Computer Organization and Architecture3-0-0-2CS106
    IICS205Object-Oriented Programming with Java4-0-0-3CS101
    IIICS301Database Management Systems3-0-0-2CS201
    IIICS302Operating Systems3-0-0-2CS204
    IIICS303Computer Networks3-0-0-2CS204
    IIICS304Software Engineering3-0-0-2CS205
    IIICS305Mathematics III4-0-0-2CS202
    IVCS401Design and Analysis of Algorithms3-0-0-2CS301
    IVCS402Artificial Intelligence3-0-0-2CS301
    IVCS403Cybersecurity Fundamentals3-0-0-2CS303
    IVCS404Data Mining and Machine Learning3-0-0-2CS301
    IVCS405Mathematics IV4-0-0-2CS305
    VCS501Cloud Computing3-0-0-2CS302
    VCS502Internet of Things (IoT)3-0-0-2CS304
    VCS503Blockchain Technology3-0-0-2CS303
    VCS504User Interface Design3-0-0-2CS205
    VCS505Project Management3-0-0-2CS304
    VICS601Advanced Topics in AI3-0-0-2CS402
    VICS602Network Security3-0-0-2CS403
    VICS603Big Data Analytics3-0-0-2CS404
    VICS604Mobile Application Development3-0-0-2CS502
    VICS605Research Methodology3-0-0-2CS405
    VIICS701Capstone Project I6-0-0-0CS601
    VIIICS801Capstone Project II6-0-0-0CS701

    Advanced Departmental Electives

    Departmental electives are offered in the later semesters to allow students to explore specialized areas based on their interests and career aspirations. Below are detailed descriptions of selected advanced elective courses:

    Deep Learning with TensorFlow

    This course delves into the principles and applications of deep learning using popular frameworks like TensorFlow and Keras. Students will learn about neural network architectures such as CNNs, RNNs, LSTMs, and Transformers, along with techniques for training and optimizing these models. Hands-on labs include image classification, natural language processing tasks, and generative modeling projects.

    Cloud Computing and DevOps

    Students will gain an understanding of cloud computing platforms like AWS, Azure, and GCP, along with concepts in containerization using Docker and orchestration via Kubernetes. The course includes hands-on experience in deploying scalable applications, implementing CI/CD pipelines, and managing infrastructure as code (IaC) tools.

    Blockchain Fundamentals

    This elective introduces students to blockchain technology, cryptographic protocols, smart contracts, and decentralized applications (dApps). Through practical labs, students will explore consensus mechanisms, Ethereum development using Solidity, and the integration of blockchain with existing systems.

    Cybersecurity Management

    Students will study risk assessment methodologies, incident response procedures, and compliance frameworks relevant to enterprise cybersecurity. The course covers topics such as penetration testing, vulnerability management, and governance models that ensure secure digital environments.

    Data Visualization & Storytelling

    This course teaches students how to effectively communicate data insights through interactive dashboards, infographics, and visual analytics tools. Using platforms like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn, students will learn to create compelling narratives from complex datasets.

    Project-Based Learning Approach

    Mahakaushal University Jabalpur emphasizes project-based learning throughout the Computer Science program. This pedagogical approach encourages students to apply theoretical knowledge in real-world scenarios, fostering creativity, critical thinking, and problem-solving skills.

    Mini Projects (Semester III & IV)

    Students undertake mini projects during their third and fourth semesters. These projects are designed to reinforce concepts learned in core courses and encourage teamwork. Each project is supervised by a faculty mentor and must be completed within a fixed timeframe, typically two months.

    Final-Year Thesis/Capstone Project (Semester VII & VIII)

    The capstone project forms the culmination of the undergraduate experience. Students choose a topic relevant to their area of specialization and work closely with a faculty advisor to conduct original research or develop an innovative solution. Projects are evaluated based on technical depth, innovation, presentation quality, and peer review.

    Project Selection Process

    Students select their capstone projects from a list of faculty-recommended topics or propose their own ideas. The selection process involves submission of a project proposal, followed by an evaluation by the departmental committee. Once approved, students are assigned mentors based on their interests and expertise.