B.S. Data Analytics
|GENERAL EDUCATION COURSES|
|DA 449||Data Analytics Internship||3|
|DA 489||Data Analytics Capstone||6|
|EH 123||Rhetoric and Composition I||3|
|EH 124||Rhetoric and Composition II||3|
|EH 200||Approaches to Literature||3|
|EH 3XX||Technical Writing||3|
|HE 111||The Husson Experience ***||1|
|MS 181||Calculus with Applications||4|
|MS 182||Calculus II||4|
|MS 250||Introduction to Proof||3|
|PH 110||Introduction to Ethics||3|
|PY 111||General Psychology||3|
|SC 224||Research Design||3|
|or SC 383||Junior Science Seminar|
|Fine Arts Elective||3|
|Foreign Culture and Conversation Elective||3|
|Lab Science Elective||3-4|
|DATA ANALYTICS COURSES|
|BA 101||Introduction to Business||3|
|or BA 310||Organization and Management|
|DA 2XX||Foundations of Data||3|
|DA 3XX||Data Exploration and Vis.||3|
|IT 214||Microcomputer Spreadsheet Applications||3|
|IT 261||Introduction to Computer Programming I||3|
|IT 262||Introduction to Computer Programming II||3|
|IT 410||Database Design||3|
|MS 132||Probability and Statistics||3|
|MS 230||Multivariable Calculus||4|
|MS 241||Linear Algebra with Applications||3|
|MS 332||Applied Statistics||3|
|MS 3XX||Mathematical Modeling||3|
|EH 123||3||EH 124||3|
|HE 111***||1||IT 262||3|
|MS 132||3||MS 182||4|
|MS 181||4||PH 110||3|
|IT 261||3||SC 224 or 383||3|
|EH 200||3||BA 101||3|
|IT 214||3||IT 410||3|
|MS 230||4||MS 250||3|
|MS 332||3||MS 345||3|
|Lab Science Elective||3-4||Foreign Culture and Conversation Elective||3|
|DA 2XX Foundations of Data||3||DA 3XX Data Exploration and Vis.||3|
|MS 241||3||MS 3XX Mathematical Modeling||3|
|PY 111||3||EH 3XX Technical Writing||3|
|Domain Elective||3||Domain Elective||3|
|Open Elective||3||Global Elective||3|
|Domain Elective||3||Domain Elective||3|
|DA 449||3||Domain Elective||3|
|BA 211 or 310||3||Open Elective||3|
|Fine Arts Elective||3||DA 489||6|
|Total Hours: 121-122|
Credit may not be required for degree completion.
DA 210. Introduction to Data Analytics. 3 Hours.
This course provides an overview of data acquisition, management, preparation, visualization, analysis, and modeling. A data analytics project is part of the course. Prerequisite(s): IT 261.
DA 310. Data Exploration & Visualization. 3 Hours.
Modern visualization techniques involve static and interactive approaches as well as figures the dynamically update. This course will discuss how visual information is perceived, how to create effective visualizations, and what dangers exist with data visualization and how to avoid them. Students will design and create summaries and visualizations to transform data into information in a variety of context and complete a visualization project. Prerequisite(s): DA 210.
DA 449. Data Analytics Internship. 3 Hours.
This course offers experiences in a work and/or research environment collecting, processing, analyzing, and/or interpreting data. Each student chooses and contacts a partner institution (business, research lab, nonprofit, or governmental agency) to serve a total of 100 hours in that setting. Activities will include training/orientation, work on projects relevant to the mission of the institution, observation of institutional work processes, and other assigned work by the site liaison. Students keep daily journals and meet weekly during the semester for training and to share their experiences. Prerequisite(s): Major=BS Data Analytics and ( College Level=Junior or College Level=Senior).
DA 489. Data Analytics Capstone. 6 Hours.
This course serves as the capstone project for data analytics majors in the School of Science & Humanities. The course provides experiential learning relevant to the student’s area of study. During the course, students will meet periodically with their faculty advisor to plan their progress through the project. At the end of the semester, students will present the final results of their research or a summary of their experience in the form of a final oral presentation and a written thesis. Prerequisite(s): Major=BS Data Analytics and ( College Level=Junior or College Level=Senior).