4 Years
Under Graduate
Engineering
Full Time
Explore diverse career paths and job opportunities available to M.Tech in Cognitive Science graduates. These may include roles such as cognitive scientist, AI researcher, and user experience designer, in high-demand sectors across tech companies, research institutions, and healthcare organizations.
1. Cognitive Psychology:
Students delve into the study of human cognition, including memory, perception, attention, and problem-solving.
2. Neuroscience:
Neuroscience courses cover the biological basis of cognition, brain anatomy, and the functioning of neural networks.
3. Artificial Intelligence:
Students learn about machine learning, natural language processing, and computer vision, which are essential for building cognitive models and intelligent systems.
4. Philosophy of Mind:
This area explores fundamental questions about the nature of consciousness, thought, and the mind-brain relationship.
5. Language and Communication:
Courses in linguistics and communication help students understand language processing and natural language understanding.
6. Cognitive Modeling:
Students gain skills in modelling cognitive processes and building intelligent systems that mimic human cognition.
7. Research Methods:
Research methodologies are taught to design and conduct experiments in cognitive science.
2. Artificial Intelligence Engineer:
AI engineers develop intelligent systems and machine learning algorithms that simulate human cognitive functions.
3. Data Scientist:
Data scientists analyze large datasets to gain insights into human behaviour and cognition, often in fields like marketing and user experience research.
4. User Experience (UX) Designer:
UX designers apply knowledge of human cognition to design user-friendly interfaces for digital products and websites.
5. Researcher/Professor:
Some graduates choose to pursue academic careers, teaching and conducting research in cognitive science.
6. Human-Computer Interaction (HCI) Specialist:
HCI specialists focus on improving the interaction between humans and computers, often in the context of user interface design.
7. Natural Language Processing (NLP) Specialist:
NLP specialists work on understanding and generating human language, which is crucial for applications like chatbots and language translation.
2. AI Developer:
Designs and builds artificial intelligence systems and cognitive models.
3. Data Analyst:
Analyzes data to uncover patterns and insights related to human behaviour and cognition.
4. UX Researcher:
Conducts user research to improve the design and usability of digital products.
5. AI Research Scientist:
Conducts research in artificial intelligence, often specializing in cognitive modelling.
1. Entry-Level AI Engineer: ?500,000 to ?900,000 per year
2. Data Scientist: ?600,000 to ?1,200,000 per year
3. Cognitive Scientist: ?500,000 to ?1,000,000 per year
4. UX Designer: ?400,000 to ?800,000 per year
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