Degree Requirements

Overall Degree Learning Outcomes

  • Analyze and interpret data critically using statistical models and programming skills.
  • Effectively communicate results of analyses to both the expert and layperson.

Course Requirements (36-38 hr)

Core Courses (18-19 hr)

Select 1 of the following (3-4 hr):

  • Mathematical Foundations of Data Analytics (MTH 133) offered during academic year
  • Basic Math for Analytics (ISA 250) offered only during summer

Select 1 of the following (3 hr):

  • Introduction to Statistical Modeling (STA 363)
  • Applied Regression Analysis in Business (ISA 291)
  • Applied Research Methods (POL 306)

Take all of the following (12 hr):

  • Professional Communication for Data Analytics (ENG/STC 285)
  • Data, Ethics, and Society (PHL/HST/GIC 286)
  • Introduction to Programming and Scripting for Data Analytics (STA/POL 308)
  • Building, Managing and Exploring Data Sets in Analytics (STA/POL 209)

Select 1 of the concentrations below. Students may not select multiple concentrations.

Concentrations

Concentration in Geospatial Analytics (18-19 hr)

Learning outcome: Design and execute workflows for geospatial problem solving and analysis.

Select 1 of the following (3-4 hr):

  • Global Forces, Local Diversity (GEO 101)
  • Earth's Physical Environment (GEO 121)
  • Geographic Perspectives on the Environment (GEO 122)
  • Geography of Urban Diversity (GEO 201)
  • Geohazards and the Solid Earth (GLG 261)

Take all of the following (12 hr):

  • Mapping a Changing World (GEO 242)
  • Geographic Information Systems (GEO 441)
  • Advanced Geographic Information Systems (GEO 442)
  • Techniques and Applications of Remote Sensing (GEO 448)

Select 1 of the following (3 hr):

  • Python Programming for Geospatial Applications (GEO 443)
  • Advanced Systematic Geography (GEO 460)

Concentration in Bioinformatics (19 hr)

Learning outcome: Integrate experimental bioinformatics data with biological pathway analysis to achieve understanding in complex biological processes.

Take all of the following (19 hr):

  • Biological Concepts: Structure, Function, Cellular, and Molecular Biology (BIO 116)
  • Introduction to Programming for the Life Sciences (BIO 256)
  • Bioinformatics Computing Skills (BIO 466)
  • Bioinformatics Principles (BIO 485)
  • 6 hr of BIO, MBI, or CHM courses (200-level or above)

Concentration in Sport Analytics (18 hr)

Learning outcome: Identify and apply appropriate methods of analytics in sporting contexts.

Take all of the following (18 hr):

  • Sport Communication and Media (KNH 273)
  • Introduction to Sport Analytics (KNH 275)
  • Sport Economics and Finance (KNH 313)
  • Sport Marketing (KNH 416)
  • Sport Econometrics (KNH 418)
  • Sport Administration (KNH 472)

Concentration in Social Data (18-19 hr)

Learning outcome: Identify and implement appropriate methods for analyzing socio-politico phenomena. Utilize data visualization techniques to communicate results in a compelling way to policy experts and engaged citizens.

Select one of the following two emphases:

Political Science Emphasis

Select one of the following:

  • Comparative Politics (POL 221)
  • American Political System (POL 241)
  • Public Administration (POL 261)
  • World Politics (POL 271)

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 (SOC 153)
  • Big Ideas in Aging (GTY 154)
  • Global Aging (GTY 260)

Select two of the following:

  • Population (SOC 257)
  • Social Forces and Aging (SOC 318)
  • Medical Sociology (SOC 357)
  • Social Policy and Programs in Gerontology (GTY 365)
  • Gerontology Capstone Internship (GTY 440)
  • Aging & Health (GTY 456)
  • Applied Sociological Research (SOC 462)
Advanced Data Courses
  • Research on Inequality in Aging & Health (GTY 479)

Select two of the following (5-6 hr):

  • Public Opinion Laboratory (POL 307)
  • Data & Decision Making in Aging (GTY 362)
  • Decision-Making in Public Affairs (POL 365)