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.
Students are able to choose from five concentrations listed below:
- Computational data analytics (20-21 credits)
- Environmental systems analytics (21 credits)
- Social/behavioral data analytics (18-22 credits)
- Media analytics (21 credits)
- Health analytics (21 credits)
50-58 credits
Core Coursework Requirements, 12 Credit Hours
Math and Statistics Requirements, 3-8 Credit Hours
Students completing Concentration 1: Computational Data Analytics are required to take both MATH 320 and MATH 321.
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 | Computing, AI, and Society | 3 |
| CS 201 | Introduction to Database Programming | 3 |
| CS 421 | Data Analytics | 3 |
Complete one of the following concentrations
Concentration 1: Computational Data Analytics, 20-21 Credit Hours
Required Coursework, 11-12 Credit Hours
Students choose between MATH 215 and CS 124.
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 450 | Predictive Analytics with R | 4 |
| MATH 454 | Statistics for Risk Modeling | 4 |
| DANA 492 | The Data Mine | 1-6 |
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 445 | Geographic Information Systems Applications Design and Development | 3 |
| or | |
| GEOG 448 | Geographic Information System Design | 3 |
Natural Resources Electives, 3 Credit Hours from
Environmental Systems Electives, 6 Credit Hours from
| DANA 302 | Topics in Environmental Systems Analytics | 3 |
| NREM 286 | Computer and Quantitative Applications | 3 |
| GEOG 433 | Cartography and Visualization of Spatial Data | 3 |
| GEOG 436 | Introduction to Remote Sensing | 3 |
| HIST 446 | Data Visualization in History and the Social Sciences | 3 |
| DANA 492 | The Data Mine | 1-6 |
Concentration 3: Social and Behavioral Data Analytics, 18-22 Credit Hours
Introductory Course Requirements, 3-6 Credit Hours
| CJC 101 | Introduction to Criminal Justice | 3 |
| and | |
| CJC 102 | Introduction to Criminology | 3 |
| or | |
| PSYS 100 | Introduction to Psychological Science | 3 |
| or | |
| SOC 100 | Exploring Society | 3 |
Applied Data Analysis Electives, 6 Credit Hours from
| DANA 310 | Spatial Data Analysis | 3 |
| CJC 221 | Statistical Analysis in Criminal Justice and Criminology | 3 |
| GEOG 265 | Introduction to Geographic Information Systems | 3 |
| GEOG 433 | Cartography and Visualization of Spatial Data | 3 |
| PSYS 441 | Advanced Statistics | 3 |
| SOC 382 | Applied Social Statistics | 3 |
| SOC 470 | Population Dynamics and Demographic Methods | 3 |
Applied Research Methods, 3-4 Credit Hours from
| CJC 220 | Research Methods in Criminal Justice | 3 |
| PSYS 284 | Research Methods in Psychological Science | 4 |
| SOC 380 | Sociological Research Methods | 3 |
Social Science Electives, 6 Credit Hours from
| DANA 303 | Topics in Social and Behavioral Data Analytics | 3 |
| CJC 396 | Advanced Criminology | 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 |
| DANA 492 | The Data Mine | 1-6 |
Concentration 4: Media Analytics, 21 Credit Hours
Introductory Course Requirement, 3 Credit Hours
Media Analytics and Audience Analysis, 12 Credit Hours
Directed Electives, 6 Credit Hours from
Chose 6 credit hours from classes below.
Concentration 5: Health Analytics, 21 Credit Hours
Introductory Course Requirement, 3 Credit Hours
| HSC 180 | Principles of Public Health | 3 |
Applied Data Analysis Requirements, 15 Credit Hours
| HSC 382 | Fundamentals of Biostatistics | 3 |
| HSC 383 | Introduction to Epidemiology | 3 |
| HSC 401 | Public Health Surveillance | 3 |
| HSC 402 | Regression Modeling for Public Health Applications | 3 |
| HSC 403 | Public Health Informatics | 3 |
3 Credit Hours from Applied Research Methods Requirement
| HSC 487 | Applied Research, Writing, and Evaluation in Public Health | 3 |
| NUTR 435 | Introduction to Research in Nutrition and Dietetics | 3 |
| DANA 492 | The Data Mine | 1-6 |
Total Credit Hours: 50-58