Data Analytics, Minor
Offered in: Chicago
The Data Analytics Minor is an applied program intended to stand on its own as a comprehensive set of valuable life and workplace quantitative skills and competencies. Each of the courses in the minor directly contributes to a student's ability as a member of the 21st century professional workforce, The minor also serves to augment and enhance the quantitative skills of students in the full array of majors at Roosevelt University.
Students will learn basics statistical methods, through the use of spreadsheet software such as Excel and statistical packages such a R. Students will learn database tools, predictive analytics, Google analytics and other quantitative data tools focusing on analysis and presentation skills.
A strong focus is placed on teams, communication, and presenting information to stakeholders and decision-makers of all kinds and at all levels, and in all forms and formats, such as presentations, grant proposals, program evaluation; project summaries, budget proposal, reports, etc.
All five required Data Science courses in the Data Analytics minor must be passed with a C- or higher. An overall GPA of 2.0 is required in these courses. Students for whom one of the courses listed below is required in their major, must coordinate substituting an appropriate course in the minor, with the Director of Data Science.
At least three of the five courses in the minor must be completed at Roosevelt University.
|DSIT 103||INTRODUCTION TO DATA ANALYTICS||3|
|PSYC 200||INTRODUCTORY STATISTICS 1||3|
|DSIT 202||STAT COMPUTING WITH SOFTWARE||3|
|DSIT 336||ADVANCED EXCEL METHODS||3|
|DSIT 369||PREDICTIVE ANALYTICS||3|
|Total Credit Hours||15|
Students who take a statistics course (Math 217, ECON 234, SOC 291, etc) as part of their major will be required to find 3 additional Data Science related credits to complete their minor with 15 credits.