B.Tech (Computer Science & Engineering)

Program Code 10052

Campus Noida

Institute Amity School of Engineering and Technology

University Amity University Uttar Pradesh

Eligibility For Non Sponsored category: Class (X ...

Duration 4 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 2.19
  • 1st Year Sponsored Semester Fee 3.285

Course Structure

Semester – 1

    Basic Sciences Courses
  • Applied Mathematics- I
  • Engineering Physics
    Engineering Sciences Courses
  • Engineering Mechanics
  • Introduction to Computers and Programming in C
  • Workshop Practices
    Human Social Sciences & Management Courses
  • Law for Engineers
  • Sociology for Engineers
    Common Curriculum Courses
  • Technical Communication - I

Semester – 2

    Basic Sciences Courses
  • Applied Mathematics - II
  • Engineering Chemistry
    Engineering Sciences Courses
  • Basic Electrical Engineering
  • Engineering Graphics Lab
  • Introduction to Environmental Studies
    Human Social Sciences & Management Courses
  • Aspects of Indian History for Engineers
  • Economics for Engineers
    Common Curriculum Courses
  • Technical Communication – II
  • Foreign Business Language - I (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)

Semester – 3

    Professional Core Courses
  • Machine Learning: Theory and Applications
  • Data Structures Using C
    Basic Sciences Courses
  • Applied Mathematics- III
    Engineering Sciences Courses
  • Basic Electronics Engineering
  • Digital Logic and Computer Architecture
  • Object Oriented Programming Using C++
    Common Curriculum Courses
  • Self-Reliance and Socialization
  • Foreign Business Language - II (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Human Values and Community Outreach
    Non-Teaching Credit Courses
  • Internship - I

Semester – 4

    Professional Core Courses
  • Java Programming
  • Discrete Mathematical Structures
  • Operating System
  • Theory of Computation
    Basic Sciences Courses
  • Applied Mathematics-IV
    Engineering Sciences Courses
  • Deep Neural Networks
    Specialisation Electives for Hons.
  • Cloud Computing Practitioner
  • Computer Graphics for Virtual Reality
  • Introduction to AI & Machine Learning
  • Introduction to Data Science
    Common Curriculum Courses
  • Cognitive Skills, Leadership and Decision Making
  • Foreign Business Language - III (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)

Semester – 5

    Professional Core Courses
  • Exploring the Networks
  • Database Management Systems
  • Analysis and Design of Algorithms
    Professional Elective Courses
  • Full Stack Development
  • Fundamentals of Mobile Computing
  • Microprocessor, and Interfacing
  • Open Source Application Development Technologies
  • Real Time Operating System
  • Essentials of Cyber Security
  • Principal of Programming Language
    Specialisation Electives for Hons.
  • Linux for Devices
  • Immersive Technologies
  • R Programming
  • Fundamentals of Data Analytics
    Common Curriculum Courses
  • Professional Ethics and Social Responsibility
  • Foreign Business Language - IV (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
    Non-Teaching Credit Courses
  • Internship - II
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - I

Semester – 6

    Professional Core Courses
  • Software Engineering
  • Compiler Construction
  • Artificial Intelligence
    Professional Elective Courses
  • Graph Theory & Applications
  • Advanced Network Security and Identity Access Management
  • Business Process Management and Mining
  • Mobile Application Development
  • Software Architecture and Design
  • Advanced Java Programming
  • Full stack Development
  • Digital Image Processing And Computer Vision
  • Distributed Systems
  • Applied Probability & Statistics
  • Software Testing and Quality Assurance
  • Routing and Switching in the Networks
  • Cloud Computing Practitioner
  • Fundamental of Machine Learning
  • Fundamental of Big Data Analytics
    Employability & Skill Enhancement Courses
  • Aptitude and Reasoning Ability
    Specialisation Electives for Hons.
  • Cloud Computing Architect
  • Concepts of Virtual and Augmented reality
  • Introduction to AI and ML
  • Deep Learning and Neural Network
    Open Elective Courses/ Multidisciplinary
  • Open Elective Courses/ Multidisciplinary - I
    Domain Elective Courses
  • Domain Elective courses - I
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - II

Semester – 7

    Professional Elective Courses
  • Object Oriented System Design
  • Software Project Management
  • Information Assurance and Security
  • Parallel Computing
  • Full Stack Development
  • Data Mining and Business Intelligence
  • Pattern Recognition
  • Dynamic Routing and Troubleshooting
  • Linux for Devices
  • Fundamental of Big Data Analytics
  • Advanced Network Solution
  • Cloud Security
  • Introduction to Natural Language Processing
  • Applied Cryptography
  • Parallel Algorithms
  • Introduction to statistical tools in research
  • Multi-modal AI
    Domain Elective Courses
  • Domain Elective courses - II
    Specialisation Electives for Hons.
  • Cloud Security & Administration
  • Machine learning foundation with cloud
  • Mobile VR and AI in Moduley
  • Mathematical Modelling and Computer Aided Engineering
  • Web Data Mining
  • Analysing, Visualizing and Applying Data Science with Python
  • Applied Artificial Intelligence
  • Soft Computing and Applications routing
    Non-Teaching Credit Courses
  • Internship - III
  • Minor Project (Mandatory)
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - III

Semester – 8

    Non-Teaching Credit Courses
  • Major Project