M.Tech (Information Technology)

Post Graduate Programmes

APPLY NOW 2019 Admissions

Program Code 10512

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity School of Engineering and Technology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10512
  • Eligibility
  • B.E./ B Tech / AMIE / MCA / M.Sc. (CS / IT / Physics / Maths / Stats / NT & M) (min 60%) & 10+2 (min 60%). Eligibility will be relaxed by 5% for Sponsored category.

  • Duration
  • 2 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.70
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.05
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.70
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.05
  • The students shall have the ability to apply knowledge of science, engineering and technology for research 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 methods to solve engineering problems
  • 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 effectively apply knowledge of mathematics, applied sciences and engineering to solve complex problems using concepts of Information Technology.
  • The student will identify, analyze research literature and formulate Information Technology problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • The student will create solutions for complex Information technology problems and design system components or processes that meet the specifications with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • The student will carry out investigations of complex problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • The student will create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to different computer science & engineering activities with an understanding of the limitations.
  • The student will apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • The student will recognize the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for the sustainable development.
  • The student will apply ethical principles and demonstrate professional ethics, responsibilities and norms of the engineering practice.
  • The student will demonstrate effectiveness as an individual and as a member or leader in teams and in multidisciplinary settings.
  • The student will use effective communication to cater to both technical and non-technical audiences.
  • The student will demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team as well as to manage projects in multidisciplinary environments.
  • The student will recognise the need for and will engage in independent and life-long learning in the broadest context of technological change.

Course Structure

  • 1st Year
  • 2nd Year

Semester 1

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
Advanced Database Management Systems (PG) Core Courses 3 0 4 0 5.00 View
Advanced System Administration (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Enterprise Java Application Using J2ee (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Advanced Software Engineering Principles (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Advanced Computer Architecture (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Advanced Data Communication and Computer Networks (PG) Specialisation Elective Courses 3 0 4 0 5.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
System Simulation and Modeling Techniques (PG) Core Courses 3 0 4 0 5.00 View
Data Warehousing and Data Mining (PG) Core Courses 3 0 4 0 5.00 View
AD HOC and Wireless Sensor Network (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Enterprise IT Service Management (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Advanced Software Testing and Quality Assurance (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Distributed Operating System (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Advanced Computer Graphics (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
AI and Expert Systems (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Advanced Information Security (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Agile Project Management (PG) Specialisation Elective Courses 3 0 0 0 3.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Pattern Recognition and Image Processing (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Cloud Application Development and Security (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Social Network Analytics (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Data Science and Big Data Analytics (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Information Retrieval System (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Software Reliability Methods (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Summer Internship (PG) Non Teaching Credit Courses 0 0 0 0 10.00 View

Semester 4

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Dissertation (PG) Non Teaching Credit Courses 0 0 0 0 16.00 View