Statistics Major

Do the numbers add up for you to choose a statistics major? Interested students can pursue a Bachelor of Arts (BA) or a Bachelor of Science (BS) in Statistics.

Majors 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. They also take advantage of research and internship opportunities.

Major Options and Requirements

The statistics major requires 24 credits at the 2000 level or above in statistics and must include STAT 3375Q and STAT 3445. Students entering calendar year 2021-2022 or later must also complete STAT 3115Q and STAT 3675Q. Since STAT 3375Q has MATH 2110Q or 2130Q as a prerequisite, students should begin the calculus sequence as soon as possible. A grade of C+ or better in MATH 2110Q or 2130Q is required. STAT 3494W is required for the major but will not count toward the 24 required major credits. Students interested in applying to graduate school in statistics, biostatistics, data science, or related disciplines are strongly advised to take additional MATH courses, particularly MATH 2210Q. MATH 3150 and MATH 3151 are also highly recommended for students wishing to pursue graduate degrees in statistics.

Bachelor of Arts

The BA degree is the more flexible of the two degree options. Since it doesn’t require as many science courses, students have the opportunity to double major, minor, study abroad, participate in research, and complete internships with greater ease than with the BS degree. Students can view the 8 semester sequence below to track their progress and future classes.

Bachelor of Science

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, so while students pursuing a BS degree can also pursue a double major, a minor, and study abroad opportunities, it requires more intentional planning.


Sequence of Required and Suggested Statistics Courses

The following courses are suggested in sequence for students pursuing a BS or a BA degree in statistics. Prerequisites are noted for each course. You can find detailed descriptions of each course, and explore additional statistics courses not listed, in the Undergraduate Catalog.

Suggested Course Sequence

STAT 1000Q Introduction to Statistics or STAT 1100Q Elementary Concepts of Statistics
This course counts toward general education requirements but does not count toward the 24 credits needed for a statistics major.

STAT 2215Q Introduction to Statistics II
Suggested. Prerequisites: STAT 1000Q or 1100Q

STAT 3025Q Statistical Methods
Suggested. Prerequisites: MATH 1132Q

STAT 3115Q Analysis of Experiments
Required. Prerequisites: STAT 2215Q or STAT 3025Q or instructor consent

STAT 3515Q Design of Experiments
Suggested. Prerequisites: STAT 2215Q or 3025Q or instructor consent

STAT 3375Q Introduction to Mathematical Statistics I
Required. Prerequisites: Students must have received a C+ or higher in MATH 2110Q or 2130Q to enroll. Primarily offered in fall semester with very limited spring semester availability.

STAT 3445 Introduction to Mathematical Statistics II
Required. Prerequisites: STAT 3375Q. Primarily offered in spring semester with very limited fall semester availability.

STAT 3675Q Statistical Computing
Required. Prerequisites: STAT 3025Q or 3375Q. Recommended preparation: An applied statistics course.

STAT 3494W Undergraduate Seminar
Required. Prerequisites: ENGL 1007 or 1010 or 1011 or 2011; STAT 2215Q or 3115Q; STAT 3025Q or 3375Q. It is recommended that students take this in senior year after completing multiple upper-level statistics courses. This is a one credit course that will satisfy the W requirement for the major. However, it does not count toward the 24 major credits required for a statistics major.


Sample Eight-Semester Sequences

The following sequences provide a sample timeline of courses that students can take over eight semesters. Theses sequences are suggested but not required.

BA Sample Sequences

Calendar Year 2021-2022 or After

The following sequence is suggested for students who entered the statistics major starting in calendar year 2021-2022 or after.

Semester 1
STAT 1000Q/1100Q – 4 credits
MATH 1131Q – 4 credits
ENGL 1007/1010/1011 – 4 credits
Content Area 1A – 3 credits
UNIV 1800 – 1 credit
Total: 16 credits

Semester 2
STAT 2215Q – 3 credits
MATH 1132Q – 4 credits
Content Area 3 Non-lab – 3 credits
Content Area 1B – 3 credits
Elective – 3 credits
Total: 16 credits

Semester 3
STAT 3025Q – 3 credits
MATH 2110Q – 4 credits
Content Area 3 Lab – 4 credits
Content Area 2 – 3 credits
Total: 14 credits

Semester 4
STAT 3115Q – 3 credits
Related – 3 credits
W course any level, any subject – 3 credits
Content Area 1C – 3 credits
Elective – 3 credits
Total: 15 credits

Semester 5
STAT 3375Q – 3 credits
STAT 3515Q – 3 credits
Content Area 1D – 3 credits
Elective – 3 credits
Elective – 3 credits
Total: 15 credits

Semester 6
STAT 3445 – 3 credits
STAT 3675Q – 4 credits
Content Area 1E – 3 credits
Elective – 3 credits
Elective – 3 credits
Total: 16 credits

Semester 7
**STAT 3494W or major elective – 1/3 credits
Related – 3 credits
Content Area 4 – 3 credits
Elective – 3 credits
Elective – 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 15/16 credits

Semester 8
**STAT 3494W or major elective – 1/3 credits
Related – 3 credits
Environmental Literacy Course – 3 credits
Content Area 4 – 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 12/13 credits

*Electives should only be taken if a student has already fulfilled general education requirements through double-dipping.
**It’s recommended that students only take STAT 3494W once they’ve taken at least seven upper-level statistics courses.

It’s highly suggested that students explore different minor options as electives are needed to graduate.

Calendar Year 2020-2021 or Earlier

The following sequence is suggested for students who entered the statistics major in calendar year 2020-2021 or earlier.

Semester 1
STAT 1000Q/1100Q – 4 credits
MATH 1131Q – 4 credits
ENGL 1007/1010/1011 – 4 credits
Content Area 1 – 3 credits
UNIV 1800 – 1 credit
Total: 16 credits

Semester 2
STAT 2215Q – 3 credits
MATH 1132Q – 4 credits
Content Area 3 Non-lab – 3 credits
Content Area 2 – 3 credits
Elective – 3 credits
Total: 16 credits

Semester 3
STAT 3025Q – 3 credits
MATH 2110Q – 4 credits
Content Area 3 Lab – 4 credits
Content Area 1 – 3 credits
Total: 14 credits

Semester 4
STAT 3115Q – 3 credits
Related – 3 credits
W course any level, any subject – 3 credits
Content Area 2 – 3 credits
Elective – 3 credits
Total: 15 credits

Semester 5
STAT 3375Q – 3 credits
STAT 3515Q – 3 credits
Related - 3 credits
Content Area 1 – 3 credits
Elective – 3 credits
Total: 15 credits

Semester 6
STAT 3445 – 3 credits
STAT 2000+ Elective – 3 credits
Related – 3 credits
Content Area 1 – 3 credits
Content Area 4 or elective* – 3 credits
Total: 15 credits

Semester 7
**STAT 3494W or STAT 2000+ elective – 1/3 credits
Content Area 1 – 3 credits
Content Area 4 or elective* – 3 credits
Elective – 3 credits
Elective – 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 15/16 credits

Semester 8
**STAT 3494W or STAT 2000+ elective – 1/3 credits
“E” course or Elective – 3 credits
Elective – 3 credits
Elective – 3 credits
Elective - 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 15/16 credits

*Electives should only be taken if a student has already fulfilled general education requirements through double-dipping.
**It’s recommended that students only take STAT 3494W once they’ve taken at least seven upper-level statistics courses.

It’s highly suggested that students explore different minor options as electives are needed to graduate.

BS Sample Sequences

Calendar Year 2021-2022 or After

The following sequence is suggested for students who entered the statistics major starting in calendar year 2021-2022 or after.

Semester 1
STAT 1000Q/1100Q – 4 credits
MATH 1131Q – 4 credits
ENGL 1007/1010/1011 – 4 credits
CHEM 1127Q – 4 credits
UNIV 1800 – 1 credit
Total: 17 credits

Semester 2
STAT 2215Q – 3 credits
MATH 1132Q – 4 credits
CHEM 1128Q – 4 credits
Content Area 1A* – 3 credits
Total: 14 credits

Semester 3
STAT 3025Q – 3 credits
MATH 2110Q – 4 credits
PHYS 1201Q – 4 credits
Content Area 1C* – 3 credits
Total: 14 credits

Semester 4
STAT 3115Q – 3 credits
Related – 3 credits
2nd W course (Content Area 1B) – 3 credits
PHYS 1202Q – 4 credits
Elective – 3 credits
Total: 16 credits

Semester 5
STAT 3375Q – 3 credits
STAT 3515Q – 3 credits
BIOL 1102/1107/1108 – 4 credits
Content Area 4* – 3 credits
Elective – 3 credits
Total: 16 credits

Semester 6
STAT 3445 – 3 credits
STAT 3675Q – 4 credits
Content Area 4* – 3 credits
Content Area 2* – 3 credits
Elective – 3 credits
Total: 15 credits

Semester 7
**STAT 3494W or major elective – 1/3 credits
Related – 3 credits
Content Area 2* – 3 credits
Environmental Literacy Course – 3 credits
Elective – 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 15/16 credits

Semester 8
**STAT 3494W or major elective – 1/3 credits
Related – 3 credits
Content Area 1D* – 3 credits
Elective – 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 12/13 credits

*It’s highly recommended that students double-dip their general education requirements.
**It’s recommended that students only take STAT 3494W once they’ve taken at least seven upper-level statistics courses.

It’s highly suggested that students explore different minor options as electives are needed to graduate.

Calendar Year 2020-2021 or Earlier

The following sequence is suggested for students who entered the statistics major in calendar year 2020-2021 or earlier.

Semester 1
STAT 1000Q/1100Q – 4 credits
MATH 1131Q – 4 credits
ENGL 1007/1010/1011 – 4 credits
CHEM 1127Q – 4 credits
UNIV 1800 – 1 credit
Total: 17 credits

Semester 2
STAT 2215Q – 3 credits
MATH 1132Q – 4 credits
CHEM 1128Q – 4 credits
Content Area 1* – 3 credits
Total: 14 credits

Semester 3
STAT 3025Q – 3 credits
MATH 2110Q – 4 credits
PHYS 1201Q – 4 credits
Content Area 1* – 3 credits
Total: 14 credits

Semester 4
STAT 3115Q – 3 credits
Related – 3 credits
2nd W course (Content Area 1/2) – 3 credits
PHYS 1202Q – 4 credits
Elective – 3 credits
Total: 16 credits

Semester 5
STAT 3375Q – 3 credits
STAT 3515Q – 3 credits
Related - 3 credits
BIOL 1102/1107/1108 – 4 credits
Elective - 3 credits
Total: 16 credits

Semester 6
STAT 3445 – 3 credits
STAT 2000+ elective – 3 credits
Related - 3 credits
Content Area 1 – 3 credits
Content Area 1 or 2 – 3 credits
Total: 15 credits

Semester 7
**STAT 3494W or STAT 2000+ elective – 1/3 credits
Content Area 2 – 3 credits
Content Area 1 or elective – 3 credits
Content Area 4 or elective – 3 credits
Elective - 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 15/16 credits

Semester 8
**STAT 3494W or STAT 2000+ elective – 1/3 credits
Content Area 2 or elective – 3 credits
Content Area 4 or elective – 3 credits
Elective – 3 credits
Elective – 3 credits (taken if taking STAT 3494W)
Total: 12/13 credits

*It’s highly recommended that students double-dip their general education requirements. Also, one should be an “E” course.
**It’s recommended that students only take STAT 3494W once they’ve taken at least seven upper-level statistics courses.

It’s highly suggested that students explore different minor options as electives are needed to graduate.

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. Students can also include courses outside this list with the approval of their academic advisor.

Pre-Approved Related Courses

Please note that MATH 2110Q. Multivariable Calculus is an automatic related course for statistics majors, as it is the prerequisite for the STAT 3375Q course requirement.

Additionally, any 2000+ level MATH courses (W courses and STAT cross-listed courses excluded) will count as a related course. Students interested in applying to graduate school in statistics, biostatistics, data science, or related disciplines are strongly advised to take these courses, particularly MATH 2210Q. MATH 3150 and MATH 3151 are also highly recommended for students wishing to pursue graduate degrees in statistics.

ACCT 2001. Principles of Financial Accounting (3 credits)
ACCT 2101. Principles of Managerial Accounting (3 credits)
ACCT 3201. Intermediate Accounting I (3 credits)
ACCT 3202. Intermediate Accounting II (3 credits)
ACCT 3221. Cost Accounting (3 credits)
ACCT 4203. Advanced Accounting (3 credits)
ACCT 4204. FInancial Statement Analysis and Business Valuation (3 credits)
ARE 2150. Intermediate Applied and Resource Economics (3 credits)
ARE 2210. Essentials of Accounting and Business (3 credits)
ARE 3215. Business Management (3 credits)
ARE 3223. Business Organization and Labor Markets (3 credits)
ARE 3225. Price Analysis and Futures Trading (3 credits)
ARE 3333. Computational Analysis in Applied Economics (3 credits)
BME 3100. Physiological Modeling (3 credits)
BME 3401. Introduction to Computational and Systems Biology (3 credits)
BME 3500. Biomedical Engineering Measurements (4 credits)
BME 3810. Computational Genomics (3 credits)
BME 4300. Physiological Control Systems (3 credits)
BME 4800. Bioinformatics (3 credits)
BADM 2710. Principles of Managerial Accounting (3 credits)
BADM 3104. Operations Management (3 credits)
BADM 3201. Intermediate Accounting I (3 credits)
BADM 3202. Intermediate Accounting II (3 credits)
BADM 3370. Global Marketing Strategy (3 credits)
BADM 3661. Marketing and Digital Analytics (3 credits)
CHEG 2103. Introduction to Chemical Engineering (3 credits)
CHEG 2111. Chemical Engineering Thermodynamics I (3 credits)
CHEM 3332. Quantitative Analytical Chemistry (4 credits)
CHEM 3334. Instrumental Analysis I (4 credits)
CHEM 3563. Physical Chemistry I (4 credits)
CHEM 3564. Physical Chemistry II (4 credits)
CSE 2050. Data Structures and Object-Orientated Design (3 credits)
CSE 2100. Data Structures and Introduction to Algorithms (3 credits)
CSE 2102. Introduction to Software Engineering (3 credits)
CSE 2301. Principles and Practice of Digital Logic Design (4 credits)
CSE 2500. Introduction to Discrete Systems (3 credits)
CSE 3500. Algorithms and Complexity (3 credits)
CSE 3502. Theory of Computation (3 credits)
CSE 3504. Probabilistic Performance Analysis of Computer Systems (3 credits)
CSE 3800. Bioinformatics (3 credits)
CSE 3802. Numerical Methods in Scientific Computation (3 credits)
CSE 3810. Computational Genomics (3 credits)
CSE 4502. Big Data Analytics (3 credits)
CSE 4702. Introduction to Modern Cryptography (3 credits)
CSE 4703. Principles of Computer Graphics (3 credits)
CSE 4704. Computational Geometry (3 credits)
CSE 4820. Introduction to Machine Learning (3 credits)
COMM 3000Q. Research Methods in Communication (3 credits)
ECON 2201. Intermediate Microeconomic Theory (3 credits)
ECON 2202. Intermediate Macroeconomic Theory (3 credits)
ECON 2211Q. Quantitative Intermediate Microeconomics (4 credits)
ECON 2212Q. Quantitative Intermediate Macroeconomics (4 credits)
ECON 2301. Mathematical Economics (3 credits)
ECON 2311Q. Econometrics I (3 credits)
ECON 2312Q. Econometrics II (3 credits)
ECON 2327. Information Technology for Economics (3 credits)
ECON 2411. Money and Banking (3 credits)
ECON 2440. Economics of Global Economy (3 credits)
ECON 2456. Economics of Poverty (3 credits)
ECON 3208. Game Theory (3 credits)
ECON 3313. Elementary Economic Forecasting (3 credits)
ECON 3315. Financial Econometrics (3 credits)
ECON 3413. Financial Economics (3 credits)
ECON 3441. Theory of Labor Markets (3 credits)
ECON 3451. Health Economics (3 credits)
ECON 4323. Convex Optimization with Python (3 credits)
ECON 4326. Operations Research for Benchmarking (3 credits)
EDLR 3345. Financial Management in the Sport Industry (3 credits)
ECE 3111. Systems Analysis (4 credits)
ECE 3431. Numerical Methods in Scientific Computation (3 credits)
ENGR 3215. Statistical Quality Control and Reliability for Manufacturing (3 credits)
ENVE 4210. Environmental Engineering Chemistry (3 credits)
FNCE 3101. Financial Management (3 credits)
FNCE 3715. Personal Finance (3 credits)
FNCE 4307. Financial Modeling (3 credits)
FNCE 4308. Introduction to Algorithmic Trading (3 credits)
GEOG 2500. Introduction to Geographic Information Systems (4 credits)
GEOG 2510. Visualizing Geographic Data (3 credits)
GEOG 3110. Location Analysis (3 credits)
GEOG 3500Q. Geographic Data Analysis (4 credits)
GEOG 3512. Introduction to Spatial Data Science ( 3 credits)
GEOG 3530. Introduction to GeoComputing (3 credits)
GEOG 4130. Geographical Analysis of Transportation (3 credits)
GEOG 4150. Applied Data Analysis in Earth Science. (3 credits)
GEOG 4230. GIS and Remote Sensing for Geoscience Applications (3 credits)
GEOG 4516. Fundamentals of Spatial Database Systems (3 credits)
GEOG 4519. Spatial Big Data Analytics (3 credits)
GSCI 4150. Applied Data Analysis in Earth Science (3 credits)
GSCI 4230. GIS and Remote Sensing for Geoscience Applications (3 credits)
LING 2010Q. The Science of Linguistics (3 credits)
LING 3000Q. Introduction to Computational Linguistics (3 credits)
LING 3310Q. Phonology (3 credits)
LING 3410Q. Semantics (3 credits)
LING 3510Q. Syntax and Semantics (3 credits)
LING 3511Q. Syntax (3 credits)
MCB 3637. Practical Methods in Microbial Genomics (3 credits)
MCB 5429. Theory & Practice of High Throughput Sequence Analysis (Grad course, 3 credits)
MCB 5430. Analysis of Eukaryotic Functional Genomic Data (Grad course, 3 credits)
MCB 5472. Computer Methods in Molecular Evolution (Grad course, 3 credits)
MEM 2211. Introduction to Manufacturing Systems (3 credits)
MARN 3003Q. Environmental Reaction and Transport (4 credits)
MKTG 3101. Introduction to Marketing Management (3 credits)
MKTG 3661. Marketing and Digital Analytics (3 credits)
ME 3220. Mechanical Vibrations (3 credits)
ME 3224. Analysis and Design of Mechanisms (3 credits)
ME 3250. Fluid Dynamics I (3 credits)
ME 3253. Linear Systems Theory (3 credits)
ME 3255. Computational Mechanics (3 credits)
ME 3263. Introduction to Sensors and Data Analysis (3 credits)
ME 3264. Applied Measurements Laboratory (3 credits)
MUSI 3371Q. Twentieth Century Theory and Analysis (3 credits)
NRE 2000. Introduction to Geomatics (4 credits)
NRE 4575. Natural Resource Applications of GIS (4 credits)
NRE 4665. Natural Resources Modeling (3 credits)
OPIM 3103. Business Information Systems (3 credits)
OPIM 3104. Operations Management (3 credits)
OPIM 3211. Systems Analysis and Design (3 credits)
OPIM 3221. Business Database Systems (3 credits)
OPIM 3222. Network Design and Applications (3 credits)
OPIM 3223. Advanced Business Application Development (3 credits)
OPIM 3224. Web Business Application Development (3 credits)
OPIM 3505. Business Database Management (3 credits)
OPIM 3506. Business Application Programming (3 credits)
OPIM 3507. Internet Technologies and Electronic Commerce (3 credits)
OPIM 3510. Business Data Analytics I (3 credits)
OPIM 3511. Business Data Analytics II (3 credits)
OPIM 3512. Project Management for Business Data Analytics (3 credits)
OPIM 3652. Industrial Quality Control (3 credits)
OPIM 3802. Data and Text Mining (3 credits)
OPIM 3803. Spreadsheet Modeling for Business Analysis (3 credits)
OPIM 3804. Data Visualization (3 credits)
PHIL 2211Q. Symbolic Logic I (3 credits)
PHIL 3214, Symbolic Logic II (3 credits)
PHYS 2200. Computational Physics (3 credits)
PHYS 2400. Mathematical Methods for the Physical Sciences (3 credits)
PHYS 2701. Foundations of Modern Astrophysics (3 credits)
PHYS 2702. Techniques of Modern Astrophysics (3 credits)
PHYS 3101. Mechanics I (3 credits)
PHYS 3102. Mechanics II (3 credits)
PHYS 3300. Statistical and Thermal Physics (3 credits)
PHYS 3401. Quantum Mechanics I (3 credits)
PHYS 3402. Quantum Mechanics II (3 credits)
PNB 3262WQ. Investigations in Neurobiology (3 credits)
POLS 2072Q. Quantitative Analysis in Political Science (3 credits)
POLS 2073Q. Advanced Quantitative Analysis Methods in Political Science (3 credits)
POLS 3603WQ. Congressional Apportionment and Redistricting. (3 credits)
PSYC 2100Q. Principles of Research in Psychology (4 credits)
PSYC 2100WQ. Principles of Research in Psychology (4 credits)
PP 3011Q. Public Policy Research Methods II (3 credits)
PP 4031. Financial Management for Public & Nonprofit Organizations (3 credits)
SOCI 3201. Methods of Social Research (3 credits)
SOCI 3211Q. Quantitative Methods in Social Research (4 credits)
SLHS 2156Q. Speech and Hearing Science (3 credits)
URBN 2100. Survey Research Methods. (3 credits)
URBN 2301Q. Research Methods and Analysis in Urban and Community Studies. (3 credits)

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 about which option might work best based on their career goals, interests, and graduation timeline.

Students interested in a major or minor outside of statistics should also meet with that department to get a full understanding of the requirements for the major or minor, and the timeline for graduation.

Students interested in adding statistics as a double major or minor can meet with the statistics staff advisor to discuss the major, requirements, and timeline for graduation.

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. Learn more about the program.

Academic Advising

Statistics majors will work with both a staff advisor and faculty advisors throughout their undergraduate career. The staff advisor can help you with selecting classes, registration, general education requirements, and more. Your faculty advisor can help you explore opportunities such as internships, research, and graduate school. Learn more about the role of advising in the Department of Statistics.

Ready to Declare Your Major?

Students can declare a major in statistics or change their major to statistics using the Online Program Change site.

To do so, log in, select New Major Change, follow the prompts, and select the following: statistics, Bachelor of Arts/Bachelor of Sciences. If you have a double major or minor, please add that in the notes section.
 

Declare Your Major

Contact Us

For questions about the statistics major, please contact the undergraduate program director:

Elizabeth Schifano

Associate Professor of Statistics
elizabeth.schifano@uconn.edu