About the Programme
The B.Tech in Computer Science and Engineering (CSE) with a Specialization in AI-Enabled Health Informatics is an interdisciplinary programme that bridges artificial intelligence, data science, and healthcare. Designed to prepare students for the next generation of intelligent healthcare systems, the curriculum integrates foundational computing courses with domain-specific expertise in biomedical applications. Students gain in-depth knowledge in:
- Core subjects such as Health Informatics Foundations, Applied AI and ML in Health Informatics, Cognition and Cognitive Process Modelling, Computational Intelligence, Big Data Analytics in Healthcare, Computer Vision in Biomedical and Clinical Applications, Deep Learning and Reinforcement Learning in Medical Imaging, and Medical IoT (MIoT): Technologies, Devices, and Applications.
- Program electives span areas such as Bioinformatics, Digital Signal and Image Processing, Pattern Recognition, Natural Language Processing in Health Informatics, Web and Software Technologies for Healthcare Information Systems, Clinical Decision Support Systems (CDSS): Concepts and Implementation, Modeling and Simulation of Biological Systems, Human-Computer Interaction, AI in Drug Discovery and Personalized Medicine, Telemedicine and mHealth, AR/VR in Healthcare Informatics, and Quantum and High-Performance Computing.
Programme Educational Objectives (PEO):
The Program Educational Objectives (PEOs) of UG Program in Computer Science & Engineering are:
Program Outcomes (PO’s):
- PEO-1 The graduates will establish themselves as professionals by solving real-life problems using exploratory and analytical skills acquired in the field of Computer Science and Engineering.
- PEO-2 The graduates will provide sustainable solutions to ever changing interdisciplinary global problems through their Research & Innovation capabilities.
- PEO-3 The graduates will become employable, successful entrepreneur as an outcome of Industry-Academia collaboration.
- PEO-4 The graduates will embrace professional code of ethics while providing solution to multidisciplinary social problems in industrial, entrepreneurial and research environment to demonstrate leadership qualities
Program Outcomes (PO’s):
- PO1 - Engineering Knowledge:
Apply the knowledge of mathematics, science, and engineering fundamentals to solve complex health informatics problems. - PO2 - Problem Analysis:
Identify, formulate, and analyze healthcare-related problems using appropriate computing methods. - PO3 - Design/Development of Solutions:
Design, develop, and evaluate AI-driven healthcare systems to meet societal and clinical needs. - PO4 - Conduct Investigations of Complex Problems:
Use research-based knowledge and methods to investigate healthcare problems. - PO5 - Engineering Tool Usage:
Use modern tools and technologies to model, simulate, and implement health informatics applications. - PO6 - The Engineer and The World:
Understand the societal, health, legal, and cultural issues related to healthcare engineering. - PO7 - Ethics:
Apply ethical principles and responsibilities in the development and deployment of AI-based healthcare systems. - PO8 - Individual and Collaborative Team Work:
Function effectively as an individual or leader in a diverse healthcare technology team. - PO9 - Communication:
Communicate effectively with professionals, clinicians, and society on complex health informatics tasks. - PO10 - Project Management and Finance:
Demonstrate knowledge of engineering and financial principles in healthcare projects. - PO11 - Life-Long Learning:
Engage in continuous learning to stay current with emerging technologies in AI and healthcare.