Graduate Programs

Student Learning Outcomes

Master of Science in Bioinformatics

Upon completion of the MS program, Bioinformatics students are able to:

  1. Extract information from different types of bioinformatics data (gene, protein, disease, etc.) including their biological characteristics and relationships.
  2. Employ 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.
  3. Apply the different approaches used for data integration and data management, including data warehouse and wrapper approaches.
  4. Master computational techniques and diversified bioinformatics tools for processing data including statistical, machine learning and data mining techniques.
  5. Analyze processed data in particular with the support of analytical and visualization tools.
  6. Carry out bioinformatics research under advisement including systems biology, structural bioinformatics and proteomics.
  7. 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.
  8. Design and develop bioinformatics solutions by adapting existing tools, designing new ones, or a combination of both.