Learning Outcomes
MLO 1: Mathematical Foundations and Statistical Theory
Based on mathematical foundations, students demonstrate the ability (i) to interpret theoretical statistical statements, (ii) to communicate statistical ideas using mathematical language, and (iii) to address research questions using statistical theory.
MLO 2: Statistics and Data Science Methods
Students demonstrate the ability to follow the statistical and data science investigative process to formulate an answerable research question, collect, manipulate, and explore data, and analyze and conduct inference, estimation, and predictions via statistical models.
MLO 3: Data Manipulation and Computation
Students demonstrate the ability to manage and manipulate data and perform statistical and data science computations using appropriate programming languages or software in order to answer a research question.
MLO 4: Ethical Practice
Students engage in ethical reasoning through their profession to promote social justice and equity in the practice and application of statistics and data science in society.
MLO 5: Communication
Students demonstrate the ability to communicate with collaborators effectively and respectfully. Students are able to adjust their use of language depending on the collaborators’ backgrounds, to practice ethics (particularly for human-subject data), to understand (or reformulate) a research question (or a project goal), and to implement appropriate statistical methods. Students are able to produce an informative report, both written and oral, which is easily readable by the target audience.
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