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Pune, Maharashtra, India

Duration

4 Years

Bachelor of Technology in Engineering

Netaji Subhas University, Jamshedpur
Duration
4 Years
Engineering UG OFFLINE

Duration

4 Years

Bachelor of Technology in Engineering

Netaji Subhas University, Jamshedpur
Duration
Apply

Fees

₹6,50,000

Placement

92.0%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Engineering
UG
OFFLINE

Fees

₹6,50,000

Placement

92.0%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

Seats

1,200

Students

1,200

ApplyCollege

Seats

1,200

Students

1,200

Curriculum

Comprehensive Course Structure

The curriculum at Netaji Subhas University Jamshedpur is meticulously structured to provide students with a balanced mix of theoretical knowledge and practical experience. It spans eight semesters, with each semester offering a carefully curated selection of core courses, departmental electives, science electives, and laboratory sessions.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
IMAT101Calculus I3-0-0-3-
IPHY101Physics I3-0-0-3-
ICHM101Chemistry I3-0-0-3-
IENG101English for Engineering2-0-0-2-
ICSE101Introduction to Programming3-0-0-3-
ICSL101Programming Lab0-0-3-1-
IIMAT102Calculus II3-0-0-3MAT101
IIPHY102Physics II3-0-0-3PHY101
IICSE102Data Structures and Algorithms3-0-0-3CSE101
IICSL102Data Structures Lab0-0-3-1CSE101
IIIMAT201Linear Algebra3-0-0-3MAT102
IIICSE201Database Management Systems3-0-0-3CSE102
IIICSL201Database Lab0-0-3-1CSE102
IVMAT202Probability and Statistics3-0-0-3MAT201
IVCSE202Computer Networks3-0-0-3CSE201
IVCSL202Computer Networks Lab0-0-3-1CSE201
VCSE301Artificial Intelligence3-0-0-3CSE202
VCSL301AI Lab0-0-3-1CSE202
VICSE302Machine Learning3-0-0-3CSE301
VICSL302ML Lab0-0-3-1CSE301
VIICSE401Capstone Project0-0-6-6CSE302
VIIICSE402Elective Course I3-0-0-3-
VIIICSE403Elective Course II3-0-0-3-

Detailed Overview of Advanced Departmental Electives

Departmental electives are designed to provide students with specialized knowledge and skills in specific areas of engineering. The following courses represent some of the advanced offerings within the program:

  • Advanced Machine Learning: This course delves into deep learning architectures, reinforcement learning, and neural network optimization techniques. Students will explore real-world applications such as computer vision, natural language processing, and robotics.
  • Cybersecurity Fundamentals: Students learn about encryption algorithms, network security protocols, and threat modeling. The course includes practical exercises in ethical hacking and incident response.
  • Internet of Things (IoT): This elective explores the architecture and implementation of IoT systems. Topics include sensor networks, cloud integration, and edge computing.
  • Software Architecture and Design Patterns: This course focuses on designing scalable software systems using modern design patterns and architectural principles. Students will engage in group projects to build complex applications.
  • Data Mining and Big Data Analytics: This course covers techniques for extracting insights from large datasets. It includes hands-on experience with tools like Hadoop, Spark, and Python libraries for data analysis.
  • Computer Vision: Students learn about image processing, object detection, and recognition algorithms. The course combines theory with practical implementation using OpenCV and TensorFlow.
  • Cloud Computing: This elective explores cloud service models, virtualization technologies, and deployment strategies. Students will gain experience with platforms like AWS, Azure, and Google Cloud.
  • Mobile Application Development: The course covers development frameworks for iOS and Android platforms. Students build cross-platform applications using React Native or Flutter.
  • Blockchain Technologies: This course introduces blockchain concepts, smart contracts, and decentralized applications. It includes practical coding exercises in Solidity and Ethereum.
  • Quantum Computing: An introductory course that explores quantum algorithms and computational models. Students will learn about qubits, entanglement, and quantum gates.

Project-Based Learning Philosophy

The engineering program at Netaji Subhas University Jamshedpur emphasizes project-based learning as a cornerstone of student development. This approach ensures that students not only grasp theoretical concepts but also apply them in practical scenarios.

Mini-projects are integrated into the curriculum starting from the second year. These projects allow students to work on real-world problems, often provided by industry partners or faculty members. The scope of these projects ranges from simple software applications to complex system designs.

The final-year thesis/capstone project is a comprehensive endeavor that requires students to conduct independent research or develop an innovative solution to a significant challenge. Students select their projects based on personal interests, faculty expertise, and industry relevance. Each student is assigned a faculty mentor who guides them through the research process.

Evaluation criteria for projects include technical depth, innovation, presentation quality, and team collaboration. Projects are typically presented at an annual showcase event where students receive feedback from industry experts and academics.