Program of Study

The certificate requires 12 credit hours (4 courses). No more than three courses per discipline will count toward the certificate. Course substitutions or exceptions can be made with the approval of the certificate faculty adviser within each respective college.

Courses in the program will usually be offered as part of existing majors. Also, departments may occasionally offer the courses online (fully or hybrid), and in the summer (but not in the Maymester). The Data Analytics will be an embedded certificate.

Learning Outcomes

1.    Demonstrate proficiency in data collection, management, analysis, and visualization.

2.    Demonstrate proficiency in quantitative analysis techniques for effective data-driven decision-making.

3.    Demonstrate proficiency in various data management and analysis software programs such as: R, SAS, SPSS, and STATA.

Eligibility

1.    Applicants to the Data Analytics Certificate must meet the requirements for their major.

2.    Students may pursue this certificate in conjunction with their major program.

3.    Students can apply to enroll in the DAC program in their respective college.

4.    To fulfill the certificate requirements students must successfully complete 12 credit hours from the courses listed below, and make a public presentation of a data driven research project. Presentations can take place at UWG (Research and Big Night), at student or professional conferences (NCUR,etc.).  It is highly recommended that students complete courses from areas 1 and 2 first, and then select courses from areas 3 and 4 below.

Total Course Requirements: 12 Credits

1.    One core course in Statistics: 3 credits

o   ECON 3402 – Business Statistics I

o   POLS 3601 – Political Science Methods II

o   MATH 2063 – Introductory Statistics

o   MATH 3063 – Applied Statistics

o   CRIM/SOCI/PSYC 4003 – Statistics in the Social Sciences

 2.    One course in Research Methods: 3 credits

o   ECON 3406 – Business Statistics II

o   ECON 3460 – Forecasting

o   GEOG 2083 – Introduction to Geographical Analysis

o   MATH 4153 – Applied Mathematical Modeling

o   MATH 4803 – Analysis of Variance

o   MATH 4813 – Regression Analysis

o   MKTG 3808 – Business Research

o   POLS 2601 – Political Science Methods I

o   CRIM/SOCI 4000 – Research Methods

o   PSYC 4220 – Research Explorations

o   PSYC 4150 – Tests and Measurements

 3.    One course in Data Management, Analysis, and/or Visualization: 3 credits

o   CISM 3340 – Data Resource Management and Design

o   CRIM/PSYC/SOCI – 4015 Analyzing and Visualizing Data

o   ECON 4475 – Introduction to Econometrics and Analytics

o   GEOG 2553 – Introduction to GIS and Mapping Science

o   MKTG 3803 – Marketing Metrics

 4.    One elective in an area of interest or expertise, including an approved internship: 3 credits.