Collegial and post-graduate education is first and foremost about the experience, of exploring, experimenting, discovering, sharing and most importantly, teamworking.
The most important quality of a data scientist is not doing science, not conceptualizing fabulous ideas, not understanding hard theories better than anyone else, but being able to build, deliver and sell things that work.
Students' career success will be a guiding objective of every course I develop and teach. I am dedicated to nurturing lifelong mutual support with students and alumni.
The Proteomics team members in the first class of DSA6000 is collecting mass spectrometry data at WSU's Proteomics Facility. The team aims to discover meaningful patterns from the protein quantification data collected by the mass spectrometers (in the backdrop).
As an established workforce incubator, WSU is expanding to meet the growing demand for data analytics talents in the auto industry and the healthcare sector.
In DSA6000, a core course required for all students in the Master of Science - Data Science and Business Analytics program, the outcome of learning is partially assessed via on-paper exams. Good grades are earned through hard work.
In DSA7500, students solve real-world data analytic challenges brought by sponsors around the country. Projects successfully completed span diverse industries including manufacturing, pharmaceutical, finance and marketing. Click Learn more in the above slideshow.