Bachelor of Science (BSc) in Cognitive Computing

About the Programme

The Bachelor of Science (BSc) in Cognitive Computing is a fascinating interdisciplinary undergraduate degree program focused on the study and development of intelligent systems that mimic human cognitive functions. This program integrates concepts from computer science, artificial intelligence (Machine Learning and Deep Learning), neuroscience, psychology, and data science to explore how machines can simulate human thought processes such as learning, intelligence, reasoning, perception, memory, attention, problem-solving,decision making, planning and critical thinking. Integrating AI, specifically the sub-field machine learning, deep learning and data science techniques to develop systems that process and analyze complex data, often in ways that parallel how humans process the information.

Core Areas of Study: In this Bachelor of Science (BSc) in Cognitive Computing is some core aras of study.

1. Artificial Intelligence (AI): Fundamentals of machine learning, deep learning, natural language processing, and robotics.
2. Cognitive Science: Understanding different human cognition, brain function, perception, memory, attention, Planning and decision-making processes.
3. Neuroscience: Basics of neural systems and their computational modeling.
4. Data Science & Analytics: Techniques for data mining, statistical analysis, statistical modelling, and handling large datasets.
5. Programming & Software Development: Hands-on skills in programming languages like Python, R, and tools for AI development.
6. Human-Computer Interaction (HCI): Study of interfaces and how humans interact with computing systems.

Skills Developed:

1. Designing and building intelligent systems that emulate cognitive functions.
2. Analyzing and interpreting large datasets through modeling to extract meaningful insights, new discoveries and new hidden partens.
3. Applying machine learning and deep learning algorithms for problem-solving across various domains and also making brain based model which incorporate the brain functions.
4. Understanding and modeling human cognition for improved AI applications across various domain.
5. Developing software and tools for cognitive computing applications.

Eligibility

XII with Science with minimum 50% marks .

Students with a CUET / SAT (DI Code - 71057 ) score will be given preference in the merit list

Program Structure

Career Pathways

The Industries are hiring Cognitive Computing Graduates in the following fields. 

Technology and Software Development, Healthcare and Medical Technology, Robotics and Automation, Financial Services and Banking, Education Technology, Research and Development, Government and Defense, Telecommunications, Artificial intelligence and machine learning engineering, Cognitive systems development, Data science and analytics, Human-computer interaction design, Robotics and automation, Research in cognitive science and neuroscience, Healthcare technology (e.g., cognitive assistants, neurotechnology)

Graduates may get their career work in the following fields such as:

Artificial Intelligence (AI) Engineer

• Design and develop AI algorithms and models that simulate human cognition.
• Work on machine learning, natural language processing, computer vision, and robotics projects.

Data Scientist and Data Analyst

• Analyze and interpret complex data sets to help organizations make data-driven decisions.
• Use machine learning and statistical techniques to extract patterns and insights.

Cognitive Systems Developer

• Build intelligent systems that mimic human problem-solving and decision-making.
• Develop applications like virtual assistants, chatbots, or recommendation engines.

Human-Computer Interaction (HCI) Specialist

• Design user-friendly interfaces and interactive systems that improve how humans engage with technology.
• Conduct usability studies and improve cognitive ergonomics of digital products.

Robotics Engineer

• Develop autonomous robots that can perceive and respond to their environment.
• Integrate AI models for robot learning and decision-making.

Neuroinformatics Specialist

• Work at the intersection of neuroscience and computing to model brain functions.
• Assist in research related to brain-computer interfaces or cognitive rehabilitation technologies.

Software Developer (AI-focused)

• Create software applications with embedded cognitive computing capabilities.
• Focus on areas like speech recognition, image analysis, or predictive analytics.

Research Scientist

• Engage the students in cutting-edge research in cognitive computing, AI, or cognitive science.
• Work in academic institutions, research labs, or technology companies.

Healthcare Technology Specialist

• Develop cognitive computing tools to assist in medical diagnosis, personalized medicine, or mental health applications.
• Work with cognitive assistants or neurotechnology devices.

Product Manager (AI/Cognitive Tech)

• Manage the development and deployment of AI-driven products and services.
• Liaise between technical teams and business stakeholders to deliver cognitive computing solutions.