M.Sc. (Cognitive Science)

Program Code 102035

Campus Noida

Institute Amity Centre for Cognitive Science

University Amity University Uttar Pradesh

Eligibility For Non- Sponsored Category : ...

Duration 2 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 0.89
  • 1st Year Sponsored Semester Fee 1.335

Course Structure

Semester – 1

    Core Courses
  • Foundations of Cognitive Science
  • Principles of Neurosciences
  • Cognitive Psychology
  • Mathematical Foundations of Cognitive Science
  • Seminar: Contemporary Issues in Cognitive Science
    Common Curriculum Courses
  • Foreign Business Language - I (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Professional & Business Communication
    Non-Teaching Credit Courses
  • Lab Rotation

Semester – 2

    Core Courses
  • Cognitive Neuroscience
  • Introduction to Symbolic Systems
  • Cognition and Machine Learning
  • Foundations of Language, Mind and Cognition
    Specialisation Elective Courses
  • Data Structures and Algorithm Design
  • Computational & Systems Neuroscience
  • Computational Linguistics
  • Psycholinguistics
  • Introduction to NLP
    Common Curriculum Courses
  • Foreign Business Language - II (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Cognitive Analytics & Social Skills for Professional Development
    Non-Teaching Credit Courses
  • Cognitive Science Lab

Semester – 3

    Core Courses
  • Computational Cognitive Science
  • Philosophy of Mind
    Specialisation Elective Courses
  • Neuroimaging and Digital Health (Compulsory for AI Track)
  • Language, Mind and Brain (Compulsory for Linguistics Track)
  • Behavioural Psychology (Compulsory for Psychology Track)
  • Functional Neuroanatomy (Compulsory for Neuroscience Track)
  • Data Structures and Algorithm Design
  • Computational & Systems Neuroscience
  • Computational Linguistics
  • Computational Methods in Cognitive Science
  • Natural Language Processing and Understanding
  • Principles of Machine Learning
  • Formal Methods in Linguistics
    Open Elective Courses/ Multidisciplinary
  • Affective & Social Cognition
    Common Curriculum Courses
  • Foreign Business Language - III (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Professional Ethics and Social Responsibility for Sustainability
  • Social Responsibility & Community Engagement
    Non-Teaching Credit Courses
  • Summer Internship

Semester – 4

    Specialisation Elective Courses
  • Advanced Deep Learning and Neural Networks (Compulsory for AI Track)
  • Speech/Language Comprehension and Production (Compulsory for Linguistics Track)
  • Community and Rehabilitation Psychology: Concepts, methods & Issues (Compulsory for Psychology Track)
  • Cognitive Systems (Compulsory for Neuroscience Track)
  • Language, Mind and Brain
  • Advances in Large Language Models
  • AI, Language and Human Cognition
  • Neurophysiology and Behaviour
  • Human-Computer Interaction
  • Machine Learning
  • Clinical Psychology: Concepts, Methods and Issues
  • Electrophysiology
  • Machine Learninng and Big Data Analytics
  • Machine Learning and Artificial Intelligence
  • Brain, Behaviour and Cognition
  • Philosophy of Language
  • Pragmatics
  • AI Ethics and Policy
  • Social Cognition
  • Advanced Syntax and Semantics
    Non-Teaching Credit Courses
  • Dissertation