Master of Computer Applications

Post Graduate Programmes

APPLY NOW 2020 Admissions

Program Code 101450

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Information Technology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 101450
  • Eligibility
  • 50% in BCA / B. Sc. (IT) /B.E /B. Tech OR
    50% in B.Sc. /B. Com. / B.A with Mathematics at Graduation Level or at 10+2 level

     

     

  • Duration
  • 2 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 1.10
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.65
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 1.10
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.65
  • The students shall have the ability to apply knowledge of mathematics, science, computing and engineering for research, design and development of novel products and solutions as an individual/ member of a team/ leader in diverse teams and as an entrepreneur.
  • The students shall have the ability to apply research knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to provide valid conclusion
  • The students shall have the ability to examine the impact of engineering solutions in societal, health, safety, legal, cultural and environmental contexts.
  • Students will be able to practice professional ethics and academic integrity and demonstrate these as an individual/ team member/ leader in diverse teams
  • The student will have the ability to support and practice independent and life-long learning for professional development.
  • Students will be able to demonstrate professional attitudes, effective communication and behavioral skills and sustain effective performance in the professional/entrepreneurial careers.
  • 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 and shall be able to collect information, collate and analyze a research problem.
  • 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 students shall be able to communicate effectively on complex software engineering activities and computing practices.
  • The students will be able to work effectively in teams with a spirit of tolerance, patience and understanding with an international and cross-cultural prospective
  • The 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 and engage in 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

Semester 1

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
Graph Theory and Combinatorics (PG) Core Courses 3 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
Core Java (PG) Core Courses 3 0 2 0 4.00 View

Semester 2

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
Routing and Switching Essentials (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Introduction to Data Analytics (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Statistics Using R Programming (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Network Security and Cryptography (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Scaling Networks (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
.Net Framework and C # (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Image Processing Techniques (PG) Specialisation Elective Courses 2 0 4 0 4.00 View
Artificial Intelligence and Robotics (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Research Methodologies (PG) Core Courses 3 0 0 0 3.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Connecting Networks (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Internet of Everything (PG) Specialisation Elective Courses 3 0 0 0 4.00 View
Machine Learning using Python (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Advanced Web Technologies (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
E-commerce and It's Applications (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Software Project Planning and Management (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Unix /Linux Programming (PG) Core Courses 2 0 4 0 4.00 View
Cloud Infrastructure and Services (PG) Core Courses 3 0 0 0 3.00 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
Summer Internship (PG) Non Teaching Credit Courses 0 0 0 0 4.00 View

Semester 4

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 4.00 View