| PO1 |
Scientific Knowledge and Training: Gain and apply knowledge of basic and applied scientific, analytical and computational fundamentals, leading to a deeper understanding of Biological Sciences. |
| PO2 |
Computational Skills and Data Analytics: Evaluate scientific information using best practices in data stewardship, data science and data analytics. |
| PO3 |
Problem analysis: Identify, formulate, review, and analyze biological problems to derive conclusions using principles of basic sciences, mathematics and computer sciences. |
| PO4 |
State-of-the-art tools: Create, select, and apply appropriate techniques, resources, and tools including prediction and modelling of complex biological systems with an understanding of the limitations. |
| PO5 |
Scientific Communication: Communicate scientific content effectively with peers, educators, science community, and with society at large. |
| PO6 |
Ethics and Values: Observe and practice ethical principles and commit to professional ethics and responsibilities and norms of scientific practice. |
| PO7 |
Individual and teamwork: Think critically and work independently, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| PO8 |
Science for society: Apply reasoning through the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional scientific practice. |
| PO9 |
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 scientific and technological changes for up-to-date research and teaching methods. |
