The Applied Data Analysis major gives students broad training in the following core areas of data science: computer programming and data management, data analysis, data visualization, and data ethics. Students with this major obtain a Bachelor of Arts (B.A.) degree. The major can be tailored for a student’s interest in a domain area of concentration. In order to apply to the Applied Data Analysis major, students must have completed at least 24 credits, 15 of which must be at the University of Connecticut, with a cumulative GPA of 3.2 or higher, and they must have a GPA of 3.2 or higher in the following classes:
Course List
| Course |
Title |
Credits |
| MATH 1131Q | Calculus I | 4 |
| STAT 1000Q | Introduction to Statistics I | 4 |
| or STAT 1100Q | Elementary Concepts of Statistics |
| |
| Introduction to Computing for Engineers | |
| Introduction to Principles of Programming | |
| Statistical Programming | |
| Coding for Cognitive Science | |
After entry into the majors, students must maintain a 3.2 cumulative GPA.
Location
Modality
Requirements
Students receiving a B.A. in Applied Data Analysis are required to take 36 credits, with one or more courses in four core areas, a nine-credit domain concentration sequence, STAT 3255 Introduction to Data Science (Introduction to Data Science), and a Capstone course of at least three credits. Students meet the “writing in the major” requirement in a domain concentration-specific W course, or in a Capstone W course.
The four core area requirements are:
Course List
| Course |
Title |
Credits |
| STAT 2255 | Statistical Programming | 3 |
| or COGS 2500Q | Coding for Cognitive Science |
| STAT 3215Q | Applied Linear Regression in Data Science | 3 |
| PHIL 3202 | Data Ethics | 3 |
| |
| STAT 3675Q | Statistical Computing | 3-4 |
| or GSCU 3510 | Cartographic Techniques |
| 15 |
| |
| |
| |
| |
| |
| 8-9 |
| Introduction to Geographic Information Systems | |
| Geographic Data Analysis | |
| Introduction to Statistics II | |
| Statistical Methods | |
| Design of Experiments | |
| Introduction to Mathematical Statistics I | |
| Total Credits | 35-37 |
Domain Concentrations
American Political Representation Domain Concentration
Course List
| Course |
Title |
Credits |
| 9 |
| American Political Parties | |
| Politics of Inequality | |
| The Art, Science, and Business of Political Campaigns | |
| Electoral Behavior | |
| American Political Economy | |
| Public Opinion | |
| DSDA 4815 | Applied Data Analysis Capstone (Capstone) | 3 |
| POLS 3603WQ | Congressional Apportionment and Redistricting | 3 |
| Total Credits | 15 |
Earth Data Science Domain Concentration
Course List
| Course |
Title |
Credits |
| 9 |
| Earth Surface Processes | |
| Our Evolving Atmosphere | |
| GIS and Remote Sensing for Geoscience Applications | |
| Engineering and Environmental Geology | |
| Modeling the Changing Atmosphere and Ocean | |
| ERTH 4150 | Applied Data Analysis in Earth Science (Capstone) | 3 |
| ERTH 2050W | Communicating Earth and Environmental Science (W course) | 3 |
| Total Credits | 15 |
Public Management and Policy Domain Concentration
Course List
| Course |
Title |
Credits |
| 9 |
| Budgeting in Public Service Organizations | |
| Race and Policy | |
| Public Policy Issues (By Department Approval) | |
| Social Policy | |
| DSDA 4815 | Applied Data Analysis Capstone (Capstone) | 3 |
| PP 3020W | Cases in Public Policy (W course) | 3 |
| Total Credits | 15 |
Survey Research Methods Domain Concentration
Course List
| Course |
Title |
Credits |
| PP 2100 | Survey Research Methods | 3 |
| PP 3030 | Public Opinion | 3 |
| PP 3098 | Public Policy Issues (By Department Approval) | 3 |
| DSDA 4815 | Applied Data Analysis Capstone (Capstone) | 3 |
| PP 3020W | Cases in Public Policy (W course) | 3 |
| Total Credits | 15 |
Population Dynamics Domain Concentration
Course List
| Course |
Title |
Credits |
| 9 |
| Sociology of Education | |
| Sociology of Families | |
| Sociology of Health | |
| Sociological Perspectives on Poverty | |
| Urban Sociology | |
| Population in a Changing World | |
| DSDA 4815 | Applied Data Analysis Capstone (Capstone) | 3 |
| 3 |
| Total Credits | 15 |
University Common Curriculum Requirements
Every student must meet a set of core requirements to earn a baccalaureate degree, in addition to those required by the student's major course of study and other requirements set by the student's school or college. For more information about these requirements, please see Common Curriculum Requirements.
College of Liberal Arts and Sciences Degree Requirements
Students must meet a set of requirements established by the college in addition to the University's Common Curriculum requirements. For more information, see the College of Liberal Arts and Sciences section of this catalog.
