Student Learning Outcomes
Master of Science in Bioinformatics
Upon completion of the MS program, Bioinformatics students are able to:
- Extract information from different types of bioinformatics data (gene, protein, disease, etc.) including their biological characteristics and relationships.
- 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.
- Apply the different approaches used for data integration and data management, including data warehouse and wrapper approaches.
- Master computational techniques and diversified bioinformatics tools for processing data including statistical, machine learning and data mining techniques.
- Analyze processed data in particular with the support of analytical and visualization tools.
- Carry out bioinformatics research under advisement including systems biology, structural bioinformatics and proteomics.
- 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.
- Design and develop bioinformatics solutions by adapting existing tools, designing new ones, or a combination of both.