Dive into the comprehensive syllabus of the M.Tech in Cognitive Science program, covering advanced topics in cognitive psychology, neuroscience, and machine learning. Gain insights into the knowledge and skills you'll acquire during your studies.
Syllabus and subjects in M.Tech Cognitive Science
The M.Tech in Cognitive Science program offers an interdisciplinary curriculum designed to provide students with advanced knowledge and practical skills in the field of cognitive science. This program covers a wide range of topics, including cognitive psychology, neuroscience, artificial intelligence, human-computer interaction, and computational modelling of cognition. Students will engage in hands-on research projects, experiments, and data analysis to gain practical experience in studying the human mind and cognitive processes. The program also explores emerging trends in cognitive science, such as machine learning, neural networks, and cognitive robotics, ensuring graduates are prepared to address the latest challenges and opportunities in the field. Additionally, coursework may include topics related to ethics in artificial intelligence, cognitive neuroscience techniques, and user experience design, equipping students with the skills needed to contribute to advancements in cognitive science research, artificial intelligence development, and human-centred design. Upon completion of this program, students will be well-prepared for careers in research, academia, technology development, and related roles, making valuable contributions to our understanding of human cognition and the development of cognitive technologies.
Semester:1
| s.no | Subject |
| 1 | Introduction to Cognitive Science |
| 2 | Mathematics for Cognitive Science |
| 3 | Computer Programming |
| 4 | Introduction to Psychology |
| 5 | Communication Skills |
| 6 | Lab: Programming and Psychology |
Semester:2
| s.no | Subject |
| 1 | Cognitive Psychology |
| 2 | Logic and Reasoning |
| 3 | Data Structures and Algorithms |
| 4 | Introduction to Neuroscience |
| 5 | Statistical Methods for Cognitive Sci. |
| 6 | Lab: Data Analysis and Neuroscience |
Semester:3
| s.no | Subject |
| 1 | Perception and Attention |
| 2 | Cognitive Linguistics |
| 3 | Machine Learning for Cognitive Science |
| 4 | Philosophy of Mind |
| 5 | Research Methods in Cognitive Science |
| 6 | Lab: Machine Learning and Cognitive Sci. |
Semester:4
| s.no | Subject |
| 1 | Memory and Cognition |
| 2 | Natural Language Processing |
| 3 | Human-Computer Interaction |
| 4 | Cognitive Development |
| 5 | Ethics in Cognitive Science |
| 6 | Lab: NLP and HCI |
Semester:5
| s.no | Subject |
| 1 | Cognitive Neuroscience |
| 2 | Computational Models of Cognition |
| 3 | Cognitive Robotics |
| 4 | Cognitive Science Elective I |
| 5 | Seminar in Cognitive Science |
| 6 | Lab: Cognitive Robotics and Modeling |
Semester:6
| s.no | Subject |
| 1 | Emotion and Cognition |
| 2 | Cognitive Science Elective II |
| 3 | Cognitive Science Project I |
| 4 | Internship or Research Experience |
| 5 | Elective - Any Relevant Subject |
Semester:7
| s.no | Subject |
| 1 | Cognitive Science Project II |
| 2 | Advanced Topics in Cognitive Science |
| 3 | Cognitive Science Elective III |
| 4 | Elective - Any Relevant Subject |
| 5 | Elective - Any Relevant Subject |
Semester:8
| s.no | Subject |
| 1 | Capstone Project in Cognitive Science |
| 2 | Cognitive Science Elective IV |
| 3 | Elective - Any Relevant Subject |
| 4 | Elective - Any Relevant Subject |
| 5 | Elective - Any Relevant Subject |
4 Years
Under Graduate
Engineering
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