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M.Sc. (Artificial Intelligence & Data Analytics)

Program Code 101756

Campus

Noida

Institute Amity Institute of Information Technology

University

Amity University Uttar Pradesh

Eligibility

For Non- Sponsored: Bachelor's Degree ...

Duration

2 Years

Selection Process

Personal Interview

Program Fee

(Rs. in Lacs)

1st Year Non Sponsored Semester

0.88

1st Year Sponsored Semester Fee

1.32
Admission Not open

Course Structure

Semester 1

  • Advanced Data Structures [Core Courses]
  • Data Communication and Network Fundamentals [Core Courses]
  • Machine Learning using Python [Core Courses]
  • Operating Systems-theory and Practices [Core Courses]
  • Statistics and Probability Distribution [Core Courses]
  • Internet of Everything [SAP Courses (Optional)]
  • Professional & Business Communication [Communication Skills]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 2

  • Artificial Intelligence: Knowledge Representation And Reasoning [Specialisation Elective Courses]
  • Cloud Infrastructure and Services [Specialisation Elective Courses]
  • Core Java [Specialisation Elective Courses]
  • Data Structures Using C Language [Specialisation Elective Courses]
  • Foundation of Cloud IoT Edge ML [Specialisation Elective Courses]
  • Information Security Policies in Industries [Specialisation Elective Courses]
  • Internet of Everything [Specialisation Elective Courses]
  • Machine Learning using Python [Core Courses]
  • Operating Systems-theory and Practices [Core Courses]
  • Relational Data Base Management System [Core Courses]
  • Statistical Learning and Inferential Statistics [Core Courses]
  • Cognitive Analytics & Social Skills for Professional Development [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 3

  • Summer Internship [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Data Visualization [Specialisation Elective Courses]
  • Deep Learning Algorithms and Applications [Specialisation Elective Courses]
  • Natural Language Processing Algorithm and Applications [Specialisation Elective Courses]
  • Reinforcement Learning Algorithms and Applications [Specialisation Elective Courses]
  • Text Mining and Analytics [Specialisation Elective Courses]
  • Quantitative Aptitude-I [Employability & Skill Enhancement Courses]
  • Business Intelligence and Analytics [Core Courses]
  • Pattern Recognition and Image Processing [Core Courses]
  • Internet of Everything [SAP Courses (Optional)]
  • Professional Ethics and Social Responsibility for Sustainability [Professional Ethics]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 4

  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses