BCA

Graduate Programmes

APPLY NOW 2020 Admissions

Program Code 10048

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Information Technology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10048
  • Eligibility
  • 50% in 10+2 with Maths / Computer Sc. / Informatics Practice / Computer Applications / Multimedia & Web Technology / Data Management Application / Web Application / Information Technology

    Aggregate percentage will be calculated on the basis of marks scored in English and three academic subjects (excluding second language, Physical Education, Fine Arts, Performing Arts or any other Vocational /Non-Written subjects). Student should have passed all the subjects of class XII from a recognized board.

     

  • Duration
  • 3 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.945
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.42
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.945
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.42
  • Students will be able to prepare plan, design, develop and troubleshoot the problems and generate solutions the field of computer science and applications.
  • Students will be able to apply strong mathematical foundation, algorithms, logical applications, principle and practices of computer science theory so that they are well-equipped to solve any problem with the systematic approach
  • Students will be able to assess societal, health, safety, legal, Cultural and environmental issues and relevant engineering responsibilities by applying reasoned contextual knowledge and understand its impact towards sustainable development.
  • Students will be able to apply modern software engineering and IT tools to complex software and hardware activities with a clear understanding of appropriate selection techniques and limitations associated with it.
  • Students will be able to demonstrate ability for professional conduct, effective communication skills and behavioral skill which enhances their individual performance.
  • Students will be able to have successful careers in industry that meet the needs of Indian and multinational companies or excel in higher studies.
  • Students will be able to inculcate awareness about professional ethics and norms of software and computing practices.
  • Students will be able to demonstrate awareness to engage in independent and lifelong learning of technological changes.
  • The student will be able to apply in- depth knowledge of theoretical concepts and programming skills in the varied related areas of the discipline.
  • The student will be able to design, analyze, implement, and evaluate a system, process and components to meet desired needs for documenting a project.
  • An Ability to apply mathematical foundations, algorithms, principle and practices of computer science theory in a way that demonstrates the ability to understand the quality and assure that the program is reliable.
  • The student will be able to apply algorithms, principle and practices of computer science theory in the modeling and design of IT enabled systems in consideration of public health, safety, cultural, societal, and environment.
  • The student will be able to communicate effectively, both written and oral, with a range of audiences.
  • The students will function effectively on teams and also take new initiatives to achieve a common goal in global business environment.
  • The student will be able to exhibit professional, ethical, legal, security and social issues and responsibilities in the organization.
  • Students shall be able to follow ethical principles/norms and commit to professional ethics and responsibilities/ norms of Software engineering and computing practices.
  • The student will be able to strategize the business plans, demonstrate the project management knowledge, design and develop plans using management theories in the construction of software systems of varying complexity.
  • The student will be able to understand the requirement of engagement in lifelong learning in dynamic IT domain.
  • Students shall be able to understand the impact of the professional IT solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • The student will be able to create, compare the various methods used to store and retrieve, analyze the information for knowledge management of a given problem.

Course Structure

  • 1st Year
  • 2nd Year
  • 3rd Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Basic Mathematics- I (UG) Core Courses 3 1 0 0 4.00 View
Computer and Information Technology (UG) Core Courses 0 0 0 0 View
Programming in C (UG) Core Courses 0 0 0 0 0.00 View
Digital Logics and Circuit Design (UG) Core Courses 0 0 0 0 0.00 View
Environmental Studies (UG) Core Courses 4 0 0 0 4.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Cyber and Information Security (UG) Core Courses 3 0 0 0 3.00 View
Operating System Concepts (UG) Core Courses 3 1 0 0 4.00 View
Data Structures Using C (UG) Core Courses 3 0 2 0 4.00 View
Computer Architecture and Assembly Language (UG) Core Courses 2 0 2 0 3.00 View
Software Engineering and Modeling (UG) Core Courses 2 0 2 0 4.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Object Oriented Programming Using Java (UG) Core Courses 3 0 2 0 5.00 View
Network Basics (UG) Core Courses 3 0 2 0 4.00 View
Introduction to Data Base Management Systems (UG) Core Courses 3 0 2 0 4.00 View
Computational Statistics (UG) Core Courses 3 0 0 0 4.00 View
Term Paper (UG) Mandatory Courses 0 0 0 0 2.00 View

Semester 4

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Principles of Computer Graphics (UG) Specialisation Elective Courses 3 0 2 0 5.00 View
Accounting Fundamentals (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Fundamentals of Digital Marketing (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Computer Oriented Statistical and Optimization Methods (UG) Core Courses 3 0 2 0 4.00 View
Basics of Modeling and Simulation (UG) Specialisation Elective Courses 2 0 0 0 2.00 View
Discrete Mathematics for IT (UG) Core Courses 3 0 0 0 4.00 View
Fundamentals of Routing Protocols (UG) Specialisation Elective Courses 3 0 2 0 4.00 View
IT Project Management (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Python Programming (UG) Core Courses 3 0 2 0 4.00 View
Fundamental of Cloud Computing & Enterprise (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Human Computer Interaction (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Cyber and Information Security (UG) Specialisation Elective Courses 3 0 0 0 3.00 View

Semester 5

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Internet of Things (UG) Core Courses 3 0 0 0 3.00 View
Object Oriented Analysis and Design (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Introduction to Enterprise Resource Planning (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
E-governance (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Image Processing (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Fundamentals of E-commerce (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Data Warehousing and Mining (UG) Specialisation Elective Courses 2 1 0 0 3.00 View
Introduction to Artificial Intelligence (UG) Specialisation Elective Courses 2 0 0 0 2.00 View
Summer Internship (UG) Mandatory Courses 0 0 0 0 3.00 View

Semester 6

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Elementary Algorithms (UG) Specialisation Elective Courses 3 1 0 0 4.00 View
Switched Networks (UG) Specialisation Elective Courses 3 0 2 0 4.00 View
Unix Operating System and Shell Programming (UG) Specialisation Elective Courses 2 0 2 0 3.00 View
Animation and Gaming (UG) Specialisation Elective Courses 2 0 2 0 3.00 View
Multimedia Technologies (UG) Specialisation Elective Courses 2 0 2 0 3.00 View
Blockchain Technologies (UG) Specialisation Elective Courses 2 0 0 0 3.00 View
Introductions to Data Science (UG) Specialisation Elective Courses 3 0 0 0 4.00 View
Major Project (UG) Mandatory Courses 0 0 0 0 9.00 View