Major in Data Analytics (BS)
The program will equip students for careers in data analysis, management and visualization requiring high-demand skillsets. In addition to computational, statistical and programming techniques, data analytics graduates will gain knowledge regarding the social and ethical dimensions of digital information from an interdisciplinary perspective.
Core requirements include courses in English, Math, Computer Science, and ISOM. There are four concentrations: one in computational data analytics (20-21 credits), one in environmental systems analytics (21 credits), one in social/behavioral data analytics (18-22 credits) and one in media analytics (21 credits).
50-58 credits
Core Coursework Requirements, 12 Credit Hours
| DANA 100 | Introduction to Data Analytics | 3 |
| DANA 320 | Data Visualization | 3 |
| or | |
| BA 310 | Data Visualization for Business Analytics | 3 |
| or | |
| EMDD 345 | Data Analysis and Visualization | 3 |
| ENG 231 | Introduction to Professional Writing | 3 |
| ISOM 300 | Project Management | 3 |
| Total Credit Hours: | 12 |
Math and Statistics Requirements, 3-8 Credit Hours
| MATH 181 | Elementary Probability and Statistics | 3 |
| or | |
| MATH 221 | Probability and Statistics | 3 |
| or | |
| MATH 320 | Probability | 4 |
| and | |
| MATH 321 | Mathematical Statistics | 4 |
| Total Credit Hours: | 3-8 |
MATH 320 and MATH 321 are required for the Computational Analytics Concentration and should be taken to count toward the Core Requirements by students intending to complete Concentration 1.
Computer Science Requirements, 17 Credit Hours
| CS 120 | Computer Science 1: Programming Fundamentals | 4 |
| CS 121 | Computer Science 2: Data Structures and Objects | 4 |
| CS 200 | Computers and Society | 3 |
| CS 201 | Introduction to Database Programming | 3 |
| CS 421 | Data Analytics | 3 |
| Total Credit Hours: | 17 |
Concentration 1: Computational Data Analytics, 20-21 Credit Hours
Required Coursework, 11-12 Credit Hours
MATH 320 AND MATH 321 are cross-listed in core requirements. Credit hours are not counted in concentration total.
Department chairperson permission is required to override any prerequisites.
Computational Data Electives, 9 Credit Hours from
| DANA 301 | Topics in Computational Data Analytics | 3 |
| CS 455 | Data Mining and Machine Learning | 3 |
| MATH 335 | Mathematical Models | 3 |
| MATH 422 | Theory of Sampling and Surveys | 3 |
| MATH 428 | Regression and Time Series Models | 3 |
| MATH 429 | Analysis of Variance in Experimental Design Models | 3 |
| MATH 454 | Statistics for Risk Modeling | 4 |
| Total Credit Hours: | 9 |
Concentration 2: Environmental Systems Analytics, 21 credit hours
Required Coursework, 12 Credit Hours
| DANA 310 | Spatial Data Analysis | 3 |
| GEOG 265 | Introduction to Geographic Information Systems | 3 |
| GEOG 438 | Advanced Geographic Information Systems Analysis | 3 |
| GEOG 448 | Geographic Information System Design | 3 |
| or | |
| GEOG 445 | Geographic Information Systems Applications Design and Development | 3 |
| Total Credit Hours: | 12 |
Natural Resources Electives, 3 Credit Hours from
Environmental Systems Electives, 6 Credit Hours from
| DANA 302 | Topics in Environmental Systems Analytics | 3 |
| GEOG 433 | Cartography and Visualization of Spatial Data | 3 |
| GEOG 434 | Maps, Environment, and Society | 3 |
| GEOG 436 | Introduction to Remote Sensing | 3 |
| HIST 446 | Data Visualization in History and the Social Sciences | 3 |
| NREM 286 | Computer and Quantitative Applications | 3 |
| NREM 372 | Applied Research Methods in Resource Management | 3 |
| Total Credit Hours: | 6 |
Concentration 3: Social and Behavioral Data Analytics, 18-22 Credit Hours
Introductory Course Requirements, 3-6 Credit Hours
| CJC 101 | Introduction to American Criminal Justice System | 3 |
| and | |
| CJC 102 | Introduction to Criminology | 3 |
| or | |
| PSYS 100 | Introduction to Psychological Science | 3 |
| or | |
| POLS 130 | American National Government | 3 |
| or | |
| POLS 293 | International Relations | 3 |
| or | |
| SOC 100 | Principles of Sociology | 3 |
| Total Credit Hours: | 3-6 |
Data Visualization Electives, 3 Credit Hours from
| GEOG 265 | Introduction to Geographic Information Systems | 3 |
| GEOG 433 | Cartography and Visualization of Spatial Data | 3 |
| HIST 446 | Data Visualization in History and the Social Sciences | 3 |
| Total Credit Hours: | 3 |
Applied Data Analysis Electives, 3 Credit Hours from
| DANA 310 | Spatial Data Analysis | 3 |
| CJC 221 | Statistical Analysis in Criminal Justice and Criminology | 3 |
| PSYS 441 | Advanced Statistics | 3 |
| SOC 382 | Applied Social Statistics | 3 |
| SOC 470 | Population Dynamics and Demographic Methods | 3 |
| Total Credit Hours: | 3 |
Applied Research Methods, 3-4 Credit Hours from
| CJC 220 | Research Methods in Criminal Justice | 3 |
| POLS 210 | Political Science Research Methods | 3 |
| PSYS 284 | Research Methods in Psychological Science | 4 |
| SOC 380 | Sociological Research Methods | 3 |
| Total Credit Hours: | 3-4 |
Social Science Electives, 6 Credit Hours from
| DANA 303 | Topics in Social and Behavioral Data Analytics | 3 |
| CJC 396 | Advanced Criminology | 3 |
| POLS 370 | Public Opinion and Political Behavior | 3 |
| PSYS 447 | Tests and Measures in Psychological Science | 3 |
| SOC 333 | Sociology of Media | 3 |
| SOC 422 | Analysis of Social Inequality and Social Trends | 3 |
| Total Credit Hours: | 6 |
Concentration 4: Media Analytics 21, Credit Hours
Introductory Course Requirement, 3 Credit Hours
Media Analytics and Audience Analysis, 12 Credit Hours
| JOUR 182 | Media Analytics and Content Strategy | 3 |
| JOUR 282 | Media Analytics Metrics | 3 |
| JOUR 482 | Media Analytics in Practice | 3 |
| MDIA 306 | Audiences and Analytics | 3 |
| Total Credit Hours: | 12 |
Directed Electives, 6 Credit Hours from
Chose 6 credit hours from classes below.
Total Credit Hours: 50-58