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Scholarships & exams

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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.