M.Tech (Computer Science & Engineering)

Post Graduate Programmes

APPLY NOW 2019 Admissions

Program Code 11009

Course Overview

  • Campus
  • Lucknow
  • Institute
  • Amity School of Engineering & Technology, Lucknow
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 11009
  • Eligibility
  • B Tech Or MCA/M Sc. (CS/P/M/Stats.)

  • Duration
  • 2 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.78
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.78
  • 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 apply knowledge of mathematics, sciences and engineering to solve complex problems using concepts of computer science & engineering.
  • 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 information to provide valid conclusions
  • The student will create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modelling to different computer science and engineering activities with an understanding of the limitations.
  • The student will create solutions for computer science & engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, cultural, societal, and environmental considerations
  • The student will use effective communication to cater to both technical and non-technical audiences
  • The student will demonstrate effectiveness as an individual and as a member or leader of team assembled to undertake a common goal in multidisciplinary settings.
  • The student will apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and consequent responsibilities relevant to the professional engineering practice.
  • The student will apply ethical principles and practice professional ethics and responsibilities and norms of the engineering practice.
  • 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
  • The student will recognize the impact of the professional engineering solutions in societal and environmental contexts and and demonstrate the knowledge if and need for the sustainable development.
  • The student will identify, formulate research literature and analyze complex computer science & engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences

Course Structure

  • 1st Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Advanced Data Structures (PG) Core Courses 0 0 0 0 0.00 View
Mathematical Foundation of Computer Science (PG) Core Courses 0 0 0 0 0.00 View
Advanced Software Project Planning and Management (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
High Performance Computer Architecture (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
Data Warehousing and Data Mining (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Advanced Computer Graphics (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Data Preparation and Analysis (PG) Industry Specific Courses 0 0 0 0 0.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Principles Of Machine Learning (PG) Core Courses 0 0 0 0 0.00 View
TCP and Advanced Computer Networks (PG) Core Courses 3 0 4 0 5.00 View
Pattern Recognition and Image Processing (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Parallel and Distributed Algorithms (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
AD HOC and Wireless Sensor Network (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Advance Mobile Computing (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Data Compression and Techniques (PG) Specialisation Elective Courses 3 1 0 0 4.00 View
Advanced Database Management Systems (PG) Specialisation Elective Courses 3 0 4 0 5.00 View
Independent Study and Research (PG) Non Teaching Credit Courses 0 0 0 0 2.00 View