This course is offered by the
Faculty of Information Science & Technology (FIST)
This interdisciplinary track welcomes students from diverse academic backgrounds to explore how data analytics and technology can unlock insights from biological information.
Students will gain hands-on skills in bioinformatics and data analytics, while also understanding the ethical and societal impact of modern scientific innovations. No prior biology background is required – just an interest in solving problems using data.
This elective track open pathways to careers in healthcare, biotechnology, data science, and digital innovation.
(Complete any 3 courses)
This course introduces the fundamental concepts of bioinformatics for students from diverse academic backgrounds. Topics include basic molecular biology, biological databases, sequence analysis, genomics, proteomics, artificial intelligence applications in biology, and ethical considerations in biological data handling. Students will gain hands-on experience using online bioinformatics tools and databases to explore DNA and protein information, perform basic analyses, and interpret biological data. The course emphasizes practical applications of bioinformatics in healthcare, biotechnology, agriculture, and precision medicine.
The course focuses on the interdisciplinary practice of analyzing large-scale biological data. It merges data science and statistical methods to uncover interesting hidden patterns in complex datasets.
The course is designed to give an overview of ethical principles and the application of ethics in science and technology. Students will be introduced to the philosophy of ethics, professional conduct and ethics in the context of scientific research and legal aspects related to bioethics. Contemporary issues in bioethics will be used as a resource and platform for students to explore the principle taught, and to stimulate students to question, think and learn to handle controversial subjects of ethical concern in a rational and balanced manner. Subjects covered include selective topics in scientific research conduct, medical ethics, and reproduction.
