WHAT IS STATISTICAL DATA SCIENCE?
This major is part of the Business Exploration Group and Math & Engineering Exploration Group
Statistical Data Science Major Website
Statistical data science majors are trained in basic and advanced data analysis ranging from introductory statistics and calculus to statistical machine learning and linear algebra. Students learn how to use data ethically; the importance and effectiveness of visualization in communicating results; and programming skills in both R and Python. They also dive deep into an area of interest that forms the basis of their culminating capstone project.
To complete the BS in Statistical Data Science, students are required to only take one sequence of lab courses, along with an additional science course that does not need to be a lab course. This differs from most BS degrees in the College of Liberal Arts and Sciences, which require two sequences of lab courses along with an additional lab course.
Graduates of the major can expect to find work in almost all occupational realms. Alumni are prepared to serve in a number of roles in which they will operate and design analytical systems, prepare data, coordinate analysis, visualize output, and support data-driven decision making.
Declaration, Major Requirements, and Courses
HOW TO DECLARE:
APPLICATION: Students interested in the BS in Statistical Data Science must apl for admission into the program. Information on admissions as well as declaring Pre-Statistical Data Science can be found HERE
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MAJOR REQUIREMENTS:
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HELPFUL INTRO COURSES:
Click here for full course descriptions
CSE 1010 - Introduction to Computing for Engineers
STAT 1000Q - Introduction to Statistics 1
STAT 1100Q - Elementary Concepts of Statistics
MATH 1131Q - Calculus 1 (Major Requirement)
MATH 1132Q - Calculus 2 (Major Requirement)
Possible Career Opportunities
COMMON CAREER PATHS:
UConn students who major in Statistical Data Science often pursue careers with a focus on operating and designing analytical systems, preparing data, coordinating analyses, visualizing output, and supporting data-driven decision making. Common examples include but are not limited to careers in:
- Artificial intelligence
- Consulting
- Cybersecurity
- Data science
- Information technology
- Machine learning
- Performance analysis
- Product development
- Research and development
- Quality engineering
- Software development
- Systems engineering
COMMON AREAS OF GRADUATE STUDY:
Statistical Data Science majors who go on to pursue graduate studies pursue a wide variety of master’s, and/or doctoral degrees based on their interests. Common examples include but are not limited to degrees in:
- Business administration
- Computer science
- Engineering
- Mathematics
ADDITIONAL CAREER RESOURCES:
For additional examples of careers and graduate studies that UConn alumni have pursued, visit the UConn alumni search on LinkedIn.
For further insight beyond the journeys of UConn alumni, visit Zippia or “What Can I do with this Major?”.
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