Data Analytics - Bachelor of Arts

For information, contact the Department of Statistics, 262 McVey Data Science Building (DSB),

Data Analytics combines statistical methods, programming skills and deep knowledge in a field of application to extract meaning from large, unstructured or complex data sets with the goal of informing policy, decisions, or scholarly research. Students select a concentration in one of four areas of application:

  • Bioinformatics
  • Geospatial Analytics
  • Social Data Analytics
  • Sport Analytics

Students majoring in the Geospatial Analytics concentration may not co-major in Analytics.  Students majoring in the Bioinformatics concentration may not minor in Bioinformatics. Students majoring in the Sport Analytics concentration may not minor in Sport Analytics. Students majoring in the Social Data Analytics concentration may count no more than nine (9) credit hours toward this major and a major in Political Science, Gerontology, or Sociology, and they may count no more than six (6) credit hours toward a minor in Political Science, Gerontology or Sociology.

Program Requirements

(3-8 prerequisite hours, 18 core hours, 18-19 concentration hours; 36-38 total hours)

Prerequisites for this program include:

  • Introductory Statistics (AP Statistics, STA 261, STA 301, or ISA 225);
  • Precalculus (MTH 104 or MTH 123 or MTH 125) or Calculus 1 (AP Calculus or MTH 141 or MTH 151) or an ACT Math score of at least 26 or an SAT Math score of at least 600 or at least 16 on the Miami International Math Placement Test.
Core Courses - required for all concentrations
MTH 133Mathematical Foundations of Data Analytics3-4
or STA 250 Basic Math for Analytics
or ISA 250 Basic Math for Analytics
STA/POL 308Introduction to Programming and Scripting for Data Analytics3
STA 363Introduction to Statistical Modeling3
or ISA 291 Applied Regression Analysis in Business
or POL 306 Applied Research Methods
STA 309Building, Managing and Exploring Data Sets in Analytics3
ENG/STC 285Professional Communication for Data Analytics3
Select one of the following:3
Technology, Ethics, and Global Society
Ethics and Digital Media
Media Law and Ethics
Introduction to Ethics
Science and Culture
Data, Ethics, and Society
Select one of the concentrations shown below.
Students may not select multiple concentrations.
Total Credit Hours36-38

Concentration in Bioinformatics

BIO/MBI 116Biological Concepts: Structure, Function, Cellular, and Molecular Biology4
BIO/CSE/MBI 256Introduction to Programming for the Life Sciences3
BIO/CHM/CSE/MBI 466Bioinformatics Computing Skills3
BIO/CSE/MBI 485Bioinformatics Principles3
BIO, MBI or CHM at the 200-level or above (BIO 342, MBI 365 or BIO 444 are recommended).6
Total Credit Hours19

Concentration in Geospatial Analytics

Select one of the following:3-4
Global Forces, Local Diversity
Earth's Physical Environment
Geographic Perspectives on the Environment
Geography of Urban Diversity
Geohazards and the Solid Earth
Select all of the following:
GEO 242Mapping a Changing World3
GEO 441Geographic Information Systems3
GEO 442Advanced Geographic Information Systems3
GEO 448Techniques and Applications of Remote Sensing3
Select one of the following:3
Python Programming for Geospatial Applications
Advanced Systematic Geography
Total Credit Hours18-19

Concentration in Social Data

Select one of the following two emphases:9
Political Science emphasis
Select one of the following:
Comparative Politics
American Political System
Public Administration
World Politics
Select two more POL courses at the 300 or 400 level. No course may be counted for both the Political Science emphasis and the Advanced Data Courses requirement in this concentration.
Gerontology/Sociology emphasis
Select one of the following:
Sociology in a Global Context
Aging in American Society
Global Aging
Select two of the following:
Research Methods
Social Forces and Aging
Medical Sociology
Social Policy and Programs in Gerontology
Gerontology Capstone Internship
Aging & Health
Advanced Data Courses
Select three of the following, with at least one at the 400 level:9-10
Data & Decision Making in Aging
Using Large Datasets in the Social Sciences
Research on Inequality in Aging & Health
Social Network Analysis
Public Opinion Laboratory
Decision-Making in Public Affairs
Total Credit Hours18-19

Concentration in Sport Analytics

SLM 275Principles of Sport Analytics3
SLM 314Coding for Sport Analytics3
SLM 413Sport Economics3
SLM 416Sport Marketing3
SLM 418Applied Sport Analytics3
SLM 472Sport Administration3
Total Credit Hours18

Note: Students seeking the major in Data Analytics meet the College of Arts and Science Writing Requirement by taking ENG 285/STC 285.