The core course material continually builds upon the Data Science lifecycle theme.
Course work is hands-on, presenting students with increasingly complex data curation as they continue to learn concepts relevant to each particular course.
Additionally, students are continually performing exploratory data analysis and preliminary statistical modeling. Statistical modeling and machine learning are thematic throughout the program.
Finally, the program continually emphasizes the goal of the data science lifecycle, namely achieving business intelligence for the stakeholders (end consumer of the analytics). This storytelling of the data and the analytical processes is also thematic as part of our process to continually develop and refine the students’ soft skills.
Case studies and capstone allow students to specialize in one or a couple of particular domains. Interdisciplinary faculty from other MU colleges and schools help lead domain-specific learning case study and capstone mentoring.
Emphasis courses represent the final stage in the further refinement of learning with domain-specific data and challenges. Interdisciplinary faculty from other MU colleges and schools help lead domain-specific learning through emphasis area courses.
Students move through 8-week modules completing core courses and then progressing through emphasis area courses directly applicable to their area of study.