B.Sc. (Artificial Intelligence & Data Science) (Honours/Honours with Research)

Program Code 101757

Campus Noida

Institute Amity Institute of Information Technology

University Amity University Uttar Pradesh

Eligibility For Non Sponsored Category: Class XII ...

Duration 4 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 1.26
  • 1st Year Sponsored Semester Fee 1.89
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Course Structure

  • 1st Year
  • 2nd Year
  • 3rd Year
  • 4th Year

Semester – 1

    Major – Requirement
  • Computational Statistics
  • Principles of Operating Systems
  • Problem Solving using Computers & Python Programming
    Common Curriculum Courses
  • Communication Skills - I
  • Introduction to Environmental Studies

Semester – 2

    Major – Requirement
  • Software Engineering and Software Modelling
  • Discrete Mathematics for IT
  • Fundamentals Database Management Systems
    Common Curriculum Courses
  • Communication Skills - II
  • Foreign Business Language - I (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
    Unrestricted Electives
  • Unrestriced Electives - I

Semester – 3

    Major – Requirement
  • Introduction to Data Communication and Computer networks
  • Object Oriented Programming Using Java Language
  • Machine Learning: Theory and Applications
    Common Curriculum Courses
  • Individual Excellence & Social Dynamics
  • Foreign Business Language - II (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Human Values and Community Outreach
    Unrestricted Electives
  • Unrestricted Electives - II

Semester – 4

    Major – Requirement
  • Analysis of Algorithms and Data Structures
    Common Curriculum Courses
  • Creativity for Team Excellence
  • Foreign Business Language - III (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Professional Ethics and Social Responsibility
  • General Aptitude Reasoning Ability (GARA)
    Unrestricted Electives
  • Unrestricted Elective - III
  • Unrestricted Elective - IV

Semester – 5

    Major - Electives
  • Big Data and Data Analytics
  • Computational Data Analytics
  • Fundamentals of Data Science and Analytics
  • Introduction to Soft Computing Techniques
    Common Curriculum Courses
  • Basics of Artificial Intelligence / AI Tools and Applications
  • Foreign Business Language - IV (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
    Non-Teaching Credit Courses
  • Summer Internship
    Unrestricted Electives
  • Unrestricted Elective - V
  • Unrestricted Elective - VI
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - I

Semester – 6

    Major - Electives
  • Deep Neural Networks
  • Generative Artificial Intelligence (Generative AI)
  • Introduction to Blockchain Technologies
  • Machine Translation: Tools and Techniques
  • Data Warehousing and Mining
  • Information Technology in Healthcare
    Unrestricted Electives
  • Unrestricted Elective - VII
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - II

Semester – 7

    Major - Electives
  • Introduction to Natural Language Processing
  • Reinforcement Learning
  • Statistics Using R Programming
  • Time Series Analysis and Forecasting
    Non-Teaching Credit Courses
  • Minor Project
    Unrestricted Electives
  • Unrestricted Elective - VIII
  • Unrestricted Elective - IX
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - III

Semester – 8

    Major - Electives
  • Business Intelligence and Analytics
  • Introduction to Data Analytics
  • Scalable Data Science
  • Soft Computing Techniques
  • Building Data Visualization for A.I.
    Non-Teaching Credit Courses
  • Capstone/Dissertation