BCA + MCA (Dual Degree)

Graduate Programmes

APPLY NOW 2020 Admissions

Program Code 10495

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Information Technology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10495
  • 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
  • 5 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 1.005
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.51
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 1.005
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.51
  • 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 inculcate amongst the students ability to handle the situation with professional and problem solving attitude, teamwork skills, collaboration skills, handle the situation with multidisciplinary approach and with empathy.
  • Students will be able to holistically develop the students to build up their confidence, ability to think critically so that they excel in their career with integrity and technical strengths and continuous learning and self-enhancement.
  • Students will be able to provide the students’ knowledge with a 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 gain multidisciplinary knowledge by participating in corporate social responsibility programs, developing projects, Field Training, Industry training leading to sustainable knowledge in the field of research and needs for societal development.
  • Students will function in the academic environment where the student is completely aware of ethics, excellence, leadership partnership, writing well-documented quality codes, working in groups and organizational skill such that they can work effortlessly in cross-cultural environment
  • Students will be able to create, select, develop and extract information on unsolved problems through literature survey and apply appropriate research methodologies, techniques, design and conduct experiments for the development of scientific/technical knowledge that are directly associated with industries and government such that the knowledge can be transferred and commercialized.
  • The student will be able to critically think through ideas and problems, then implement and test for creating reliable program.
  • The student will be able to plan, design, implement, optimize and evaluate a computer-based system, process, component, or program.
  • The student will be able to demonstrate and apply the concept learned of strong mathematical foundations, mathematics, algorithms, logical applications, principle and practices of computer science theory.
  • The student will be able to design and conduct experimental work to analyze, create and design software products, processes and systems.
  • The students shall be able to communicate effectively on complex software engineering activities and computing practices.
  • An Ability to function in effectively in teams with a spirit of tolerance, patience and understanding with an international and cross-cultural prospective
  • Students shall be able to apply reasoning to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional computing practices.
  • Students shall be able to apply ethical principles, professional ethics, norms and responsibilities of the software engineering and computing practice.
  • Students shall be able to create, compare the various tools and methods to extract the knowledge required to solve the problem.
  • Students shall be able to recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  • Students shall be able to create solutions to facilitate the life of individuals, organizations, and society for sustainable development.
  • Students shall be able to plan, design, implement, optimize, evaluate complex computer-based system and research problems.

Course Structure

  • 1st Year
  • 2nd Year
  • 3rd Year
  • 4th Year
  • 5th Year

Semester 1

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

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
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
Cyber and Information Security (UG) Core Courses 3 0 0 0 3.00 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
Computer Oriented Statistical and Optimization Methods (UG) Core Courses 3 0 2 0 4.00 View
Discrete Mathematics for IT (UG) Core Courses 3 0 0 0 4.00 View
Principles of Computer Graphics (UG) Specialisation Elective Courses 3 0 2 0 5.00 View
Fundamentals of Digital Marketing (UG) Specialisation Elective Courses 3 0 0 0 3.00 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
Basics of Modeling and Simulation (UG) Specialisation Elective Courses 2 0 0 0 2.00 View
Python Programming (UG) Core Courses 3 0 2 0 4.00 View
Human Computer Interaction (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Fundamental of Cloud Computing & Enterprise (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Accounting Fundamentals (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
Data Warehousing and Mining (UG) Core Courses 2 1 0 0 3.00 View
Web Technologies and Applications (UG) Employability & Skill Enhancement Courses 2 0 2 0 3.00 View
Summer Internship - I (UG) Mandatory Courses 0 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
Image Processing (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
Introduction to e-Governance (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
Introduction to Artificial Intelligence (UG) Specialisation Elective Courses 2 0 0 0 2.00 View

Semester 6

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Visual .Net Technologies (UG) Core Courses 3 0 2 0 4.00 View
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 - I (UG) Mandatory Courses 0 0 0 0 9.00 View

Semester 7

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Computer Graphics and Animation (PG) Core Courses 3 0 4 0 5.00 View
Core Java (PG) Core Courses 3 0 2 0 4.00 View
Summer Internship - I (PG) Mandatory Courses 0 0 0 0 3.00 View
Advanced Database Management Systems (PG) Core Courses 3 0 4 0 5.00 View
Advanced Software Engineering Principles (PG) Core Courses 3 1 0 0 4.00 View

Semester 8

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Data Structures and Algorithm Design (PG) Core Courses 3 0 4 0 5.00 View
Introduction to Data Analytics (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Routing and Switching Essentials (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Scaling Networks (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Machine Learning using Python (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Network Security and Cryptography (PG) Core Courses 3 1 0 0 4.00 View
Research Methodologies (PG) Core Courses 3 0 0 0 3.00 View
.Net Framework and C # (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Enterprise Resource Planning (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Image Processing Techniques (PG) Specialisation Elective Courses 2 0 4 0 4.00 View
Software Testing and Reliability (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Android Programming (PG) Specialisation Elective Courses 2 0 2 0 4.00 View
Artificial Intelligence and Robotics (PG) Specialisation Elective Courses 3 0 2 0 4.00 View

Semester 9

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Data Structures and Algorithm Design (PG) Core Courses 3 0 4 0 5.00 View
Introduction to Data Analytics (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Routing and Switching Essentials (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Scaling Networks (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Machine Learning using Python (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Network Security and Cryptography (PG) Core Courses 3 1 0 0 4.00 View
Research Methodologies (PG) Core Courses 3 0 0 0 3.00 View
.Net Framework and C # (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Enterprise Resource Planning (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Image Processing Techniques (PG) Specialisation Elective Courses 2 0 4 0 4.00 View
Software Testing and Reliability (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Android Programming (PG) Specialisation Elective Courses 2 0 2 0 4.00 View
Artificial Intelligence and Robotics (PG) Specialisation Elective Courses 3 0 2 0 4.00 View

Semester 10

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Major Project (PG) Mandatory Courses 0 0 0 0 15.00 View
Seminar (PG) Mandatory Courses 0 0 0 0 5.00 View