MCA

Post Graduate Programmes

APPLY NOW 2019 Admissions

Program Code 10007

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Information Technology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10007
  • Eligibility
  • BCA min 50% Or Graduation with Maths (min 50%) Or Graduation (min 50%) + Maths at 10+2 level

  • Duration
  • 3 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 1.00
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.5
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 1.00
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.5
  • 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
  • 3rd Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Mathematical Foundation to Computer Science (PG) Core Courses 4 1 0 0 5.00 View
Financial Management (PG) Core Courses 3 0 0 0 3.00 View
Computer Fundamentals and C Programming (PG) Core Courses 3 0 4 0 5.00 View
Operating Systems-theory and Practices (PG) Core Courses 3 1 0 0 4.00 View
Data Communication and Network Fundamentals (PG) Core Courses 3 0 0 0 3.00 View
Computer Organization Architecture and Assembly Language (PG) Core Courses 3 0 4 0 5.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Computer Oriented Numerical Analysis (PG) Core Courses 3 0 0 0 3.00 View
Object Oriented Programming with C++ (PG) Core Courses 3 0 4 0 5.00 View
Data Structures Using C Language (PG) Core Courses 3 0 4 0 5.00 View
Computer Graphics and Animation (PG) Core Courses 3 0 4 0 5.00 View
Principles and Practices of Software Engineering (PG) Core Courses 3 1 0 0 4.00 View
Total Quality Management (PG) Core Courses 2 1 0 0 3.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Optimization Technique (PG) Core Courses 3 1 0 0 4.00 View
Core Java (PG) Core Courses 3 0 2 0 4.00 View
Quantitative Aptitude (PG) Core Courses 2 0 0 0 2.00 View
Relational Data Base Management System (PG) Core Courses 3 0 2 0 4.00 View
Routing and Switching Essentials (PG) Core Courses 3 0 2 0 4.00 View
Research Methodologies (PG) Core Courses 3 0 0 0 3.00 View
Term Paper - I (PG) Non Teaching Credit Courses 0 0 0 0 3.00 View

Semester 4

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Graph Theory and Combinatorics (PG) Core Courses 3 0 0 0 3.00 View
Network Security and Cryptography (PG) Core Courses 3 1 0 0 4.00 View
Design and Analysis of Algorithms (PG) Core Courses 3 0 0 0 3.00 View
Statistics Using R Programming (PG) Core Courses 3 0 4 0 5.00 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
Post Relational Data Base Management Systems (PG) Specialisation Elective Courses 2 0 4 0 4.00 View
Image Processing (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
Management Information System (PG) Core Courses 3 0 0 0 3.00 View
Software Project Planning and Management (PG) Core Courses 3 1 0 0 4.00 View
Unix /Linux Programming (PG) Core Courses 2 0 4 0 4.00 View
Enterprise Resource Planning (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Principles of Compiler Design (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
Data Warehousing and Mining (UG) Specialisation Elective Courses 2 1 0 0 3.00 View
Pattern Recognition Techniques (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Information Theory Concepts (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Open Source Technologies (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Internet of Everything (PG) Specialisation Elective Courses 3 0 0 0 4.00 View
Cloud Infrastructure and Services (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Software Testing and Reliability (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Advanced Database Concepts (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
Soft Computing Techniques (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
Advanced Java (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Connecting Networks (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Artificial Intelligence and Robotics (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Summer Internship - I (PG) Non Teaching Credit Courses 0 0 0 0 4.00 View
Independent Study and Research - I (PG) Non Teaching Credit Courses 0 0 0 0 3.00 View

Semester 6

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Seminar (PG) Non Teaching Credit Courses 0 0 0 0 5.00 View
Major Project - I (PG) Non Teaching Credit Courses 0 0 0 0 14.00 View
Advance Operating Systems (PG) Specialisation Elective Courses 3 1 4 0 6.00 View