| Program start date | Application deadline |
| 2024-08-01 | - |
Program Overview
The Applied Data Analysis program at the University of Connecticut equips students with comprehensive training in data science, including programming, analysis, visualization, and ethics. Students can tailor their major through domain concentrations in fields such as political science, earth science, and public policy. Graduates are prepared for careers as data analysts, scientists, and other data-driven professionals.
Program Outline
Degree Overview:
Overview:
The Applied Data Analysis major at the University of Connecticut provides students with comprehensive training in the core areas of data science, including:
- Computer programming and data management
- Data analysis
- Data visualization
- Data ethics Students graduate with a Bachelor of Arts (B.A.) degree and can tailor the major to their interests through a chosen domain area of concentration.
Objectives:
The program aims to equip students with the skills and knowledge to effectively:
- Collect, clean, and manage data
- Perform statistical analysis and modeling
- Create insightful and informative data visualizations
- Understand and apply ethical principles in data analysis
Description:
This program emphasizes hands-on experience through practical courses and projects. Students learn to work with real-world datasets and develop solutions to complex problems. The domain concentration allows students to apply their data analysis skills to a specific field of interest, such as:
- American Political Institutions
- American Political Representation
- Earth Data Science
- Public Management and Policy
- Survey Research Methods
- Population Dynamics
Admission Requirements:
To apply, students must have:
- A GPA of 3.2 or higher in MATH 1131Q, STAT 1000Q/1100Q, and an introductory programming course
- Completed at least 24 credits, with 15 from UConn and a cumulative GPA of 3.2 or higher
Program Requirements:
The program requires 36 credits, including:
- Courses in four core areas: Programming and Data Management, Basic Data Analysis, Data Ethics, and Data Visualization (12 credits total)
- A nine-credit domain concentration sequence
- STAT 3255 Introduction to Data Science (3 credits)
- A Capstone course (3 credits)
- A "writing in the major" requirement, fulfilled through a domain concentration-specific W course or a Capstone W course
Outline:
Core Areas:
- Programming and Data Management: STAT 2255 Statistical Programming or COGS 2500Q Coding for Cognitive Science (3 credits)
- Basic Data Analysis: STAT 3215Q Applied Linear Regression in Data Science (3 credits)
- Data Ethics: PHIL 3202 Data Ethics (3 credits)
- Data Visualization: At least 3 credits from STAT 3675Q Statistical Computing or GEOG 3510 Cartographic Techniques
Domain Concentrations:
- American Political Institutions (9 credits)
- American Political Representation (9 credits)
- Earth Data Science (9 credits)
- Public Management and Policy (9 credits)
- Survey Research Methods (9 credits)
- Population Dynamics (9 credits)
Additional Credits:
Up to 9 credits may be taken from approved domain concentrations or the following courses:
- GEOG 3500Q Geographic Data Analysis
- STAT 2215Q Introduction to Statistics II
- STAT 3025Q Statistical Methods
- STAT 3515Q Design of Experiments
Total Credits:
35-37 credits
Course Schedule:
The program follows a regular semester schedule, offering courses in the fall and spring semesters.
Individual Modules:
Individual modules within each course focus on specific topics within the core areas or domain concentration.
Assessment:
Assessment methods vary depending on the course and module but may include:
- Exams and quizzes
- Assignments and projects
- Presentations
- Participation in class discussions Specific assessment criteria are outlined in individual course syllabuses.
Teaching:
The program employs a variety of teaching methods, including:
- Lectures
- Hands-on activities
- Group projects
- Guest lectures from industry professionals The faculty comprises experienced researchers and practitioners in data science. They are dedicated to providing students with a supportive and engaging learning environment.
Careers:
Graduates of the Applied Data Analysis program are prepared for a wide range of careers in data-driven fields, such as:
- Data Analyst
- Data Scientist
- Statistician
- Market Research Analyst
- Business Intelligence Analyst
- Policy Analyst
- Environmental Data Analyst
- Public Health Analyst The program provides students with the skills and knowledge they need to succeed in these roles and contribute to the growing field of data science.
Other:
- The program emphasizes experiential learning through internships and capstone projects.
- Students have access to state-of-the-art computer labs and software.
