Program Overview
Introduction to the Statistics Major
The statistics major at the University of Connecticut offers students the opportunity to pursue a Bachelor of Arts (BA) or a Bachelor of Science (BS) degree. This major is designed for students interested in statistics and its applications in various fields.
Major Requirements
To complete the statistics major, students must take 24 credits in statistics at the 2000 level or above and at least 12 credits at the 2000 level or above in related quantitative courses. The major requires the following courses:
- STAT 3375Q: Introduction to Mathematical Statistics I
- STAT 3445: Introduction to Mathematical Statistics II
- STAT 3115Q: Analysis of Experiments
- STAT 3675Q: Statistical Computing
- STAT 3494W: Undergraduate Seminar (required but does not count toward the 24 major credits)
Bachelor of Arts Degree
The BA degree is more flexible, allowing students to double major, minor, study abroad, participate in research, and complete internships with greater ease. The BA degree does not require as many science courses as the BS degree.
Bachelor of Science Degree
The BS degree places a greater focus on the quantitative sciences and is often chosen by students interested in using statistics in a health-related field. The additional science courses are rigorous, requiring more intentional planning for students pursuing a BS degree.
Sample Eight-Semester Sequences
The following sequences provide a sample timeline of courses that students can take over eight semesters. These sequences are suggested but not required.
BA Sample Sequences
Calendar Year 2022 or After
- Semester 1: STAT 1000Q/1100Q, MATH 1131Q, ENGL 1007/1010/1011, Content Area 1A, UNIV 1800
- Semester 2: STAT 2215Q, MATH 1132Q, Content Area 3 Non-lab, Content Area 1B, Elective
- Semester 3: STAT 3025Q, MATH 2110Q, Content Area 3 Lab, Content Area 2
- Semester 4: STAT 3115Q, Related, W course, Content Area 1C, Elective
- Semester 5: STAT 3375Q, STAT 3515Q, Content Area 1D, Elective, Elective
- Semester 6: STAT 3445, STAT 3675Q, Content Area 1E, Elective, Elective
- Semester 7: STAT 3494W or major elective, Related, Content Area 4, Elective, Elective
- Semester 8: STAT 3494W or major elective, Related, Environmental Literacy Course, Elective, Elective
Calendar Year 2021 or Earlier
- Semester 1: STAT 1000Q/1100Q, MATH 1131Q, ENGL 1007/1010/1011, Content Area 1, UNIV 1800
- Semester 2: STAT 2215Q, MATH 1132Q, Content Area 3 Non-lab, Content Area 2, Elective
- Semester 3: STAT 3025Q, MATH 2110Q, Content Area 3 Lab, Content Area 1
- Semester 4: STAT 3115Q, Related, W course, Content Area 2, Elective
- Semester 5: STAT 3375Q, STAT 3515Q, Related, Content Area 1, Elective
- Semester 6: STAT 3445, STAT 2000+ elective, Related, Content Area 1, Content Area 4 or elective
- Semester 7: STAT 3494W or STAT 2000+ elective, Content Area 2, Content Area 4 or elective, Elective, Elective
- Semester 8: STAT 3494W or STAT 2000+ elective, Content Area 2 or elective, Content Area 4 or elective, Elective, Elective
BS Sample Sequences
Calendar Year 2022 or After
- Semester 1: STAT 1000Q/1100Q, MATH 1131Q, ENGL 1007/1010/1011, CHEM 1127Q, UNIV 1800
- Semester 2: STAT 2215Q, MATH 1132Q, CHEM 1128Q, Content Area 1A
- Semester 3: STAT 3025Q, MATH 2110Q, PHYS 1201Q, Content Area 1C
- Semester 4: STAT 3115Q, Related, 2nd W course, PHYS 1202Q, Elective
- Semester 5: STAT 3375Q, STAT 3515Q, BIOL 1102/1107/1108, Content Area 4
- Semester 6: STAT 3445, STAT 3675Q, Content Area 4, Content Area 2, Elective
- Semester 7: STAT 3494W or major elective, Related, Content Area 2, Environmental Literacy Course, Elective
- Semester 8: STAT 3494W or major elective, Related, Content Area 1D, Elective, Elective
Calendar Year 2021 or Earlier
- Semester 1: STAT 1000Q/1100Q, MATH 1131Q, ENGL 1007/1010/1011, CHEM 1127Q, UNIV 1800
- Semester 2: STAT 2215Q, MATH 1132Q, CHEM 1128Q, Content Area 1
- Semester 3: STAT 3025Q, MATH 2110Q, PHYS 1201Q, Content Area 1
- Semester 4: STAT 3115Q, Related, 2nd W course, PHYS 1202Q, Elective
- Semester 5: STAT 3375Q, STAT 3515Q, Related, BIOL 1102/1107/1108
- Semester 6: STAT 3445, STAT 2000+ elective, Related, Content Area 1, Content Area 4 or elective
- Semester 7: STAT 3494W or STAT 2000+ elective, Content Area 2, Content Area 4 or elective, Elective, Elective
- Semester 8: STAT 3494W or STAT 2000+ elective, Content Area 2 or elective, Content Area 4 or elective, Elective, Elective
Related Courses
Statistics majors at UConn are interdisciplinary learners and take at least 12 credits of related courses at the 2000 level or above. These include "quantitatively oriented" courses in mathematics, biological sciences, business, economics, geography, psychological sciences, sociology, and more. A list of pre-approved related courses can be found below:
- ACCT 2001: Principles of Financial Accounting
- ACCT 2101: Principles of Managerial Accounting
- ARE 2150: Intermediate Applied and Resource Economics
- BADM 3103: Business Information Systems
- BADM 3104: Operations Management
- BME 3100: Physiological Modeling
- BME 3401: Introduction to Computational and Systems Biology
- CHEG 2103: Introduction to Chemical Engineering
- CHEM 3332: Quantitative Analytical Chemistry
- CSE 2050: Data Structures and Object-Oriented Design
- CSE 2100: Data Structures and Introduction to Algorithms
- ECON 2201: Intermediate Microeconomic Theory
- ECON 2202: Intermediate Macroeconomic Theory
- ECON 2211Q: Quantitative Intermediate Microeconomics
- ECON 2212Q: Quantitative Intermediate Macroeconomics
- ECON 2301: Mathematical Economics
- ECON 2311Q: Econometrics I
- ECON 2312Q: Econometrics II
- GEOG 2500: Introduction to Geographic Information Systems
- GEOG 2510: Visualizing Geographic Data
- GEOG 3110: Location Analysis
- GEOG 3500Q: Geographic Data Analysis
- GEOG 3512: Introduction to Spatial Data Science
- MATH 2110Q: Multivariable Calculus
- MATH 2210Q: Differential Equations
- MATH 3150: Linear Algebra
- MATH 3151: Abstract Algebra
- OPIM 3103: Business Information Systems
- OPIM 3104: Operations Management
- OPIM 3211: Systems Analysis and Design
- OPIM 3204: Business Database Systems
- OPIM 3701: Network Design and Applications
- OPIM 3223: Advanced Business Application Development
- OPIM 3402: Web Business Application Development
- OPIM 3505: Business Database Management
- OPIM 3506: Business Application Programming
- OPIM 3507: Internet Technologies and Electronic Commerce
- OPIM 3510: Business Data Analytics I
- OPIM 3511: Business Data Analytics II
- OPIM 3512: Project Management for Business Data Analytics
- OPIM 3652: Industrial Quality Control
- OPIM 3203: Data and Text Mining
- OPIM 3301: Spreadsheet Modeling for Business Analysis
- OPIM 3302: Data Visualization
- PHYS 2200: Computational Physics
- PHYS 2400: Mathematical Methods for the Physical Sciences
- PHYS 2701: Foundations of Modern Astrophysics
- PHYS 2702: Techniques of Modern Astrophysics
- PHYS 3101: Mechanics I
- PHYS 3102: Mechanics II
- PHYS 3300: Statistical and Thermal Physics
- PHYS 3401: Quantum Mechanics I
- PHYS 3402: Quantum Mechanics II
- PSYC 2100Q: Principles of Research in Psychology
- PSYC 2100WQ: Principles of Research in Psychology
- SOCI 3201: Methods of Social Research
- SOCI 3211Q: Quantitative Methods in Social Research
Additional Degree Options
Double Majors, Dual Degrees, and Minors
Students can enrich their college experience by adding a double major, a dual degree, and/or a minor. Current statistics majors who wish to add another major in the College of Liberal Arts and Sciences (CLAS), a major outside of CLAS, or a minor should consult with the statistics staff advisor.
Honors Program
Highly motivated students seeking a more intensive workload have the option of enrolling in the UConn Honors Program, which involves completing challenging coursework and an honors thesis.
Academic Advising
Statistics majors will work with both a staff advisor and faculty advisors throughout their undergraduate career. The staff advisor can help with selecting classes, registration, general education requirements, and more. The faculty advisor can help explore opportunities such as internships, research, and graduate school.