Data Analytics Minor Course Lists
For the most current lists of approved courses in these categories, please consult the Data Scholarship Program.
Introductory Statistics
| Code | Title | Credit Hours |
|---|---|---|
| ANTH 4683 | 3 | |
| ANTH 4713 | Statistical Concepts in Anthropology | 3 |
| BIOL 2913 | Intro to Quantitative Biology | 3 |
| BIOL 4913 | Quantitative Biology | 3 |
| COMM 2513 | Introduction to Statistics | 3 |
| ECON 2843 | Elements of Statistics | 3 |
| GEOG 3924 | Quantitative Methods | 4 |
| MATH 4743 | Introduction to Mathematical Statistics | 3 |
| METR 4313 | Statistical Meteorology | 3 |
| P SC 2013 | Introduction to Political Analysis | 3 |
| PSY 2003 | Understanding Statistics | 3 |
| PSY 3114 | Research Methods: Applications and Experimental Design | 4 |
| SOC/P SC 3123 | Social Statistics | 3 |
| S WK 2223 | Statistics for Social Work | 3 |
Programming for Data Analytics
| Code | Title | Credit Hours |
|---|---|---|
| ASTR 3190 | Topics in Astronomy (topic: Introduction to Research) | 3 |
| C S 1213 | Programming for Non-Majors with Python | 3 |
| C S 1313 | Programming for Non-Majors with C | 3 |
| C S 1321 | Java for Programmers | 1 |
| C S 1323 | Introduction to Computer Programming for Programmers | 3 |
| C S 1324 | Introduction to Computer Programming for Non-Programmers | 4 |
| GIS 4453 | Advanced GIS and Spatial Analysis | 3 |
| HSTM/LIS 2033 | Introduction to Digital Humanities | 3 |
| LIS 4613 | Dynamic Web Development | 3 |
| LIS 4643 | Introduction to Data Analytics | 3 |
| LIS 4970 | Special Topics/Seminar (topic: Introduction to Mobile App Development) | 1-3 |
| LIS 4633 | Web Design and Implementation | 3 |
| MBIO/PBIO 4783 | Introduction to Python Programming for Data Analytics | 3 |
| PSY 2503 | Computing for Behavioral Sciences | 3 |
Data-Oriented Electives
| Code | Title | Credit Hours |
|---|---|---|
| Qualitative Data-related Skills | ||
| ENGL 3163 | Rhetoric and the Digital Humanities | 3 |
| GEOG 3513 | Political Geography * | 3 |
| LIS 3063 | Essentials of IT & Informatics | 3 |
| LIS 4453 | Digital Collections | 3 |
| LIS 4613 | Dynamic Web Development | 3 |
| LIS 4673 | Introduction to Information Visualization | 3 |
| LIS 4683 | Database Design for Information Organizations | 3 |
| LIS 4693 | Information Retrieval and Text Mining | 3 |
| LIS 4970 | Special Topics/Seminar (topic: Data Stewardship) | 3 |
| LIS/WGS/LTRS/HIST/HSTM 4970 | Special Topics/Seminar (topic: Cultural Heritage Data and Social Engagement) | 3 |
| LIS 4970 | Special Topics/Seminar (topic: Introduction to Mobile App Development) | 1-3 |
| MBIO/PBIO 3673 | Practical Bioinformatics * | 3 |
| NAS 4153 | Indigenous Mapping: Issues in Data Sovereignty and Security | 3 |
| Applied Computing | ||
| ASTR 3190 | Topics in Astronomy (topic: Introduction to Research) | 3 |
| C S 4033 | Machine Learning Fundamentals | 3 |
| GIS 4233 | Digital Image Processing | 3 |
| GIS 4453 | Advanced GIS and Spatial Analysis | 3 |
| ENGL 3163 | Rhetoric and the Digital Humanities | 3 |
| LIS 4623 | Advanced Data Analytics | 3 |
| LIS 4643 | Introduction to Data Analytics | 3 |
| LIS/WGS/LTRS/HIST/HSTM 4970 | Special Topics/Seminar (topic: Cultural Heritage Data and Social Engagement) | 3 |
| MBIO/PBIO 4783 | Introduction to Python Programming for Data Analytics | 3 |
| METR 1313 | Introduction to Programming for Meteorology * | 3 |
| METR 4330 | Information Technology Skills for Meteorology | 3 |
| PSY 2503 | Computing for Behavioral Sciences | 3 |
| Mathematics and Computing Skills | ||
| C S 1213 | Programming for Non-Majors with Python | 3 |
| C S 1313 | Programming for Non-Majors with C | 3 |
| C S 1321 | Java for Programmers | 1 |
| C S 1323 | Introduction to Computer Programming for Programmers | 3 |
| C S 1324 | Introduction to Computer Programming for Non-Programmers | 4 |
| MATH 3333 | Linear Algebra I | 3 |
| Intermediate Statistics & Experimental Design | ||
| BIOL 4913 | Quantitative Biology | 3 |
| ECON 4223 | Econometric Analysis | 3 |
| ECON 4773 | Economic Game Theory | 3 |
| GIS 4923 | Spatial Statistics | 3 |
| MATH 4743 | Introduction to Mathematical Statistics | 3 |
| MATH 4753 | Applied Statistical Methods | 3 |
| MATH 4773 | Applied Regression Analysis | 3 |
| PSY 3114 | Research Methods: Applications and Experimental Design | 4 |
| SOC 3133 | Methods of Social Research | 3 |
| S WK 4083 | Undergraduate Social Work Research Methods I * | 3 |
| S WK 4093 | Undergraduate Social Work Research Methods II | 3 |
- *
Designates introduction/gateway courses that would be good to take prior to others in the minor.
Project/Applied Data Analytics Experience
Most of the advanced electives require instructor permission and many disciplinary-specific prerequisites that should be met or specifically discussed with the instructor prior to enrollment. Upon or before enrollment, students will need to identify a faculty member affiliated with the Data Scholarship Program who can supervise their internship, independent study, or research experience.
To fulfill this requirement, the course must include a data-related project with a written report. Students will submit a DSP Project Experience Course Approval Form for approval before the end of the free add/drop period. Alternatively, an additional course can be taken from among listed courses in the previous categories AND that includes a substantial project that includes data analysis, visualization, and interpretation and a discussion of any ethical considerations with respect to the topic and data. In this case, students will submit a DSP Project Experience Course Approval Form to describe the project in the course.
| Code | Title | Credit Hours |
|---|---|---|
| CAS 4630 | CAS Internship | 3 |
| DSP 4983 | Data Analytics and Applied Statistics Research Experience | 3 |
| CAS 4990 | Independent Study (with a DSP faculty affiliate or with an approved, applied data analytics component) | 3 |
| An additional course can be taken from among listed courses in the previous categories AND that includes a substantial project that includes data analysis, visualization, and interpretation and a discussion of any ethical considerations with respect to the topic and data. In this case, the project report must be submitted to the Data Scholarship Program for final approval. | ||