Graduate Programs

Student Learning Outcomes

Doctor of Philosophy in Informatics - Bioinformatics

Upon completion of the Bioinformatics PhD program, students will be able to:

  1. Analyze different types of bioinformatics data (gene, protein, disease, etc.) including their biological characteristics and relationships.
  2. Formulate steps involved in transforming the data to knowledge, as well as introducing different techniques used at each step
  3. Impact informatics on other disciplines such as biology from several perspectives including the social and economic aspects.
  4. Establish different data representation models and formats used for bioinformatics data representation including markup languages, such as SBML and CellML, and ontologies, such as GO ontology.
  5. Master different approaches used for data integration and data management, including data warehouse and wrapper approaches.
  6. Develop computational techniques and employ diversified bioinformatics tools for data processing including statistical, machine learning and data mining techniques.
  7. Analyze processed data in particular with the support of analytical and visualization tools.
  8. Perform bioinformatics research in area of interest.
  9. Interact with non-bioinformatics professionals, such as biologists and biomedical researchers in order to better understand their bioinformatics needs for better support and service delivery.
  10. Develop the ability to design and develop bioinformatics solutions by adapting existing tools, designing new ones, or a combination of both.