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An internship is supervised field work relevant to some area of probability, statistics, or data science. Internships typically take place outside the Department of Statistics. Internships allow students to explore careers of interest while also gaining hands-on experience and transferable skills.

Undergraduate students may complete an internship and earn credits toward their major by enrolling in STAT 4190. Field Study Internship. Your internship may be with another academic department, a regional business, a government agency, or a non-profit organization.

To find a suitable internship, you may seek help from the Department, the Center for Career Readiness and Life Skills or the American Statistical Association.

STAT 4190. Field Study Internship can be completed during the fall, spring, or summer semester, upon availability; students often complete their internship during the summer before their senior year, provided they have completed the necessary prerequisites.

To be eligible to receive internship credit in statistics via STAT 4190, you need to have satisfied all of the prerequisites:

Completion of first-year and sophomore general requirements for the College of Liberal Arts and Sciences (CLAS).
Completion with a grade of “C” or better of STAT 3025Q or STAT 3375Q, and STAT 3115Q or STAT 3215Q or STAT 3515Q.

After you meet the prerequisites, you must send the undergraduate program director more information about the internship in the form of a proposal, and also a letter from your internship supervisor.

For the proposal, please coordinate with your internship supervisor and send the undergraduate program director a write-up that includes

the name of the company and where the internship is located,
the start and end dates of the internship, number of hours per week, and whether it is paid or unpaid,
the name and contact information of your supervisor, and
the nature of the projects clearly stating the statistical content.

Your internship supervisor must also send a letter to the undergraduate program director. It should confirm the details of your proposal and that they will send the undergraduate program director an email at the end of your internship evaluating your performance. If approved, the undergraduate program director will send you a permission number for up to three credits of STAT 4190, with the number of credits dependent on the level of statistical/data science content and the number of internship hours to be completed during the semester.

Your regular tuition will cover the cost of internship credits during the academic year. If you complete an internship during the summer, you’ll be charged summer tuition based on the number of credits that you’ll earn.

Upon completion of the internship, you must submit a detailed report to the undergraduate program director, who will also seek performance feedback from your external supervisor. Based on these evaluations, you'll be assigned a final grade of S (satisfactory) or U (unsatisfactory) by the faculty coordinator.

Also note, STAT 4190 can count toward your statistics, mathematics-statistics, or statistical data science major credits, but it is S/U, so your GPA will not be affected. Note that statistical data science majors must be approved for three credits of STAT 4190 in order to count as Advanced Statistics domain course.

The D. E. Shaw Group Fellowship Program contains four kinds of programs for the students. They are:

Discovery Program: For undergraduate students in their second year who self-identify as women.
Latitude Program: For undergraduate students in their second year who self-identify as Native American or Alaska Native, Black or African American, Hispanic or Latino, or Native Hawaiian or Other Pacific Islander.
Momentum Program: For undergraduate students in their second year who self-identify as part of the LGBTQIA+ community.
Nexus Program: For all undergraduate students in their second year.

Register now for the Intercollegiate Math Tournament — the first in-person, team-based undergraduate math competition — at Columbia University on Saturday, February 28, 2026!

ICMT is a 501(c)(3) nonprofit organization run by Columbia graduate students and former organizers of high school math tournaments such as the Berkeley Math Tournament, Stanford Math Tournament, Harvard–MIT Math Tournament, and more.

Undergraduate students of all levels of experience are invited to compete!
- Division A (for experienced competitors): Contains problems of similar difficulty to the Putnam and has a $20k prize pool. Topics include linear algebra, abstract algebra, real and complex analysis, in addition to the Division B syllabus (sample problems)
- Division B (for newer competitors): Topics include high school math competition subjects (AMC 10/12 level), as well as single- and multi-variable calculus, differential equations, and basic linear algebra (sample problems)

The contest will consist of three exciting rounds, information about which can be found on the website.

Register Now: https://intercollegiatemathtournament.org/

If you have any questions or are a graduate student interested in being involved in problem-writing, please email us at team@intercollegiatemathtournament.org.

CSAS 2026 Data Challenge has been published here:

Overview: Curling is a sport where two teams take turns sliding stones down a sheet of ice towards a target. The most common form of the game features teams with four players, with each player getting two shots per round, known in curling as an “end”. When one player shoots, two of their teammates follow the stone down the ice, sweeping its path with brooms to direct it to the desired position. Teams score by having the stone closest to the center of the target at the completion of the end, one point for each stone inside of the opponent’s closest stone. After a set number of ends (usually 8 or 10), the team with more points is the winner.

A primer on curling rules (both 4-person and mixed doubles) can be found here.

Mixed Doubles Curling presents a unique analytics opportunity described as the "Wild West of Curling" due to its distinctive format and strategic complexity. Unlike traditional curling, Mixed Doubles features:

8 ends total.
2 pre-placed stones.
Power play. Each team is allowed to opt for a “power play” once per game when they have the hammer. When a power play is being used, the pre-placed stones are moved out to one of the sides. See the primer for an image depicting the pre-placed stones during most ends, and the pre-placed stones when a power play is used.
Limited existing analytics - most available data comes from the Curlit website
High strategic variance - teams show great disparity in how they use power plays
Real-world application - coaches actively need these insights for upcoming competitions
The full rules of all forms of curling can be found here.

This Data Challenge focuses on power play optimization - when to use it, how to execute it, and how to defend against it - using data from international competition results that show final stone positions.

For more details, please find here.

Undergraduate students can participate in supervised research in probability or statistics under the guidance of a statistics faculty mentor by enrolling in STAT 4389. Undergraduate Research. You may take this course either semester for three credits and may repeat it for additional credit. Hours are determined by arrangement with a faculty mentor.

This course is only open with consent of a faculty member who is willing to mentor you, based on exceptional academic performance in all core and some upper-level elective statistics courses. Discuss your interest with your faculty advisor, who may seek input from statistics department faculty members to help you find a research mentor.

Undergraduate students interested in pursuing their own independent research and/or writing a peer reviewed article based on outstanding research can also apply for support from the Office of Undergraduate Research. Statistics students can also participate in a number of summer research programs affiliated with the Math Alliance.

More Resources

By getting involved in student and professional organizations, you can explore topics you're passionate about, expand your social circle, and build professional skills that employers value. Between UConn and the wider academic community, there are hundreds of organizations and learning communities open to statistics majors. Examples include:

UConn Data Science Club: UConn Data Science Club focuses on educating and preparing students to be involved in the field of data science. It holds weekly workshops and hands-on sessions, along with the annual UConn Sports Analytics Symposium.
American Statistical Association: The American Statistical Association is the world’s largest community of statisticians. It is the second-oldest professional association in the country, and its efforts include meetings, publications, membership services, education, accreditation, and advocacy
New England Statistical Society: The New England Statistical Society (NESS) is a non-profit organization that promotes the growth and expansion of statistical science in the New England area and beyond. Its activities include publishing statistical journals, organizing scientific meetings, and offering educational programs.
Joint Statistical Club: UConn Joint Statistical Club, affiliated with the American Statistical Association (ASA) and the New England Statistical Society (NESS), is a joint group for both undergraduate and graduate level students interested in engaging with the field of statistics. The club hosts skill-building workshops on technical skills, panels with information about research and internship opportunities, and social events for undergraduates and graduates to interact and ask questions.

Visit the UConntact website to search student groups by category.

Studying abroad can expose you to different cultures and perspectives and provide you with unparalleled opportunities to grow as a student.

UConn statistics majors can study in many exciting places around the world. Through careful planning, you can take part in this transformative experience while earning credits toward your degree.

Students who are interested in studying abroad should first contact the office of Experiential Global Learning to determine what programs they are most interested in and when they’d like to go abroad, before meeting with the statistics staff advisor to discuss how this may fit into their major plan of study. It is recommended that interested students begin this process as early as possible.

For more information, check out our recorded info session on how to study aboard for math and stat majors.

Department of Statistics

Ways to Get Involved

Internships

STAT 4190 Requirements

Submitting a Proposal

Completing Your Internship

Current Opportunities

Sports Statistics Experiential Learning Program

Programs Eligibility

Program Dates

Internship roles

Events

Intercollegiate Math Tournament (at Columbia University on February 28, 2026)

CSAS 2026 Data Challenge (April 10-11 (Friday and Saturday), 2026)

Research

More Resources

Student and Professional Organizations

Study Abroad

Phone:	(860) 486-3414
E-mail:	statistics@uconn.edu
Address:	Room 323, Philip E. Austin Building 215 Glenbrook Road, Unit 4120 Storrs, Connecticut 06269-4120