M.Sc Neuroscience with specialization in Cognitive Computing

01

Integrated Knowledge of Brain and Behavior: To provide a comprehensive understanding of the structure and function of the nervous system, brain–behavior relationships, and cognitive processes.

02

Foundations of Cognitive Science and AI: To introduce students to cognitive theories, artificial intelligence (AI), and machine learning principles relevant to modeling human cognition and neural processing.

03

Experimental Neuroscience Techniques: To train students in neurobiological methods such as EEG, fMRI, brain stimulation, neuroimaging analysis, and electrophysiological recordings.

04

Computational Neuroscience and Neural Modeling: To develop skills in simulating brain function through computational models, neural networks, and data-driven cognitive architectures.

05

Research and Data Analysis Proficiency: To foster scientific inquiry, research design, and data interpretation using statistical tools and programming languages like Python, R, and MATLAB.

06

Ethical and Responsible Neuroscience Practice: To promote understanding of ethical, legal, and social issues related to brain research, neuroethics, and human-computer interaction.

07

Translational Neuroscience and Clinical Applications: To connect basic neuroscience with clinical implications in neurodevelopmental, neurodegenerative, and psychiatric disorders.

08

Technological Integration in Neuroscience: To build competence in brain-computer interface (BCI), cognitive computing tools, and human-AI collaborative systems.

09

Interdisciplinary Collaboration and Innovation: To encourage cross-disciplinary collaboration across neuroscience, computer science, psychology, and biomedical engineering domains.

10

Career and Research Preparedness: To prepare students for advanced research, academic positions, neuroinformatics roles, cognitive technology innovation, and neuroscience-based industrial careers.

01

Neuroscience and Cognitive Psychology Knowledge: Possess knowledge and comprehension of the core and basic knowledge associated with the profession of Neuroscience and Cognitive Psychology.

02

Planning Abilities: Demonstrate effective planning abilities including time management, resource management, delegation skills and organizational skills. Develop and implement plans and organize work to meet deadlines.

03

Problem analysis: Utilize the principles of Analytical thinking, clearly and critically, while solving problems and making decisions for designing and developing cognitive computing systems that can be applied to fields like healthcare (e.g., neuroprosthetics), robotics, human-computer interaction, and autonomous systems systematically and making decisions related to it.

04

Modern tool usage: Learn and apply modern and appropriate practical applicable tools of research methods like neuroimaging, electrophysiology, and computational modeling to investigate cognitive phenomena and brain function.

05

Leadership skills: Understand and consider the human reaction to change, motivation issues, leadership and team-building when planning changes required for fulfillment of practice, professional and societal responsibilities. Assume participatory roles as responsible citizens or leadership roles during the conduction of their job to facilitate improvement in cognitive health and wellbeing.

06

Professional Identity: Understand, analyze and communicate the value of their professional roles in society (e.g. in research, AI development, healthcare technology, cognitive robotics, and more.)

07

Neuroscience and Cognitive Psychology Ethics: Honor human values and apply ethical principles in professional and social contexts. Demonstrate behavior that recognizes cultural and personal variability in values, communication and lifestyles. Use ethical frameworks; apply ethical principles while making decisions.

08

Communication: Communicate effectively with the Neuroscience community and write effective reports, make effective presentations and documentation, and give and receive clear instructions.

09

The Neuroscience and Cognitive Psychology and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety and legal issues and the consequent responsibilities relevant to the Neuroscience practice.

10

Environment and sustainability: Understand the impact of the Neuroscience and cognitive psychology solution in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.

11

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. Self-access and use feedback effectively from others to identify learning needs and to satisfy these needs on an ongoing basis.

01

Advanced Knowledge in Neuroscience – Post-graduates will acquire in-depth knowledge of neuroscience concepts and develop a deep understanding of the neural systems, brain structures, and mechanisms involved in cognitive processes like perception, memory, learning, and decision-making.

02

Research and Innovation – Post-graduates will develop research skills to conduct studies in cognitive neuroscience and apply computational approaches to generate new insights or innovate in fields like brain-computer interfaces, neuroengineering, or AI-based cognitive modeling.

03

Professional and Ethical Leadership – Post-graduates will understand the ethical implications of cognitive computing and brain-related technologies, especially as they pertain to privacy, autonomy, and healthcare applications.