M.Tech (Data Science)

Program Code 10684

Campus Noida

Institute Amity School of Engineering and Technology

University Amity University Uttar Pradesh

Eligibility For Non Sponsored ...

Duration 2 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 0.84
  • 1st Year Sponsored Semester Fee 1.26
Admission Not open

Course Structure

1st Year

Semester 1

  • Advanced Computer Graphics [Specialisation Elective Courses]
  • Advanced Software Project Planning and Management [Specialisation Elective Courses]
  • Advanced Software Testing and Quality Assurance [Specialisation Elective Courses]
  • Data Warehousing and Data Mining [Specialisation Elective Courses]
  • High Performance Computer Architecture [Specialisation Elective Courses]
  • Advanced Data Structures [Core Courses]
  • Mathematical Foundation of Computer Science [Core Courses]
  • Professional & Business Communication [Communication Skills]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 2

  • Independent Study and Research [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Advanced Database Management Systems [Specialisation Elective Courses]
  • Advanced Soft Computing [Specialisation Elective Courses]
  • Enterprise Java Application Using J2ee [Specialisation Elective Courses]
  • Industrial Internet of Things [Specialisation Elective Courses]
  • Machine Learning and Big Data Analytics [Specialisation Elective Courses]
  • Pattern Recognition and Image Processing [Specialisation Elective Courses]
  • TCP and Advanced Computer Networks [Specialisation Elective Courses]
  • Principles Of Machine Learning [Core Courses]
  • Web Intelligence and Big Data [Core Courses]
  • Cognitive Analytics & Social Skills for Professional Development [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

2nd Year

Semester 3

  • Minor Project [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Summer Internship [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Artificial Neural Networks [Specialisation Elective Courses]
  • Data Visualization [Specialisation Elective Courses]
  • Deep Learning Algorithms and Applications [Specialisation Elective Courses]
  • Information Retrieval System [Specialisation Elective Courses]
  • Information Security Policies in Industries [Specialisation Elective Courses]
  • R-Programming and Hadoop [Specialisation Elective Courses]
  • System Simulation and Modeling Techniques [Specialisation Elective Courses]
  • Text Mining and Analytics [Specialisation Elective Courses]
  • Web Intelligence and Big Data [Specialisation Elective Courses]
  • Professional Ethics and Social Responsibility for Sustainability [Professional Ethics]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 4

  • Dissertation [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses