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Undergraduate Opportunities

Undergraduate Research and Internship Opportunities

Part Time Stats Analyst at ESPN

ESPN Statistics and Analysis Division—Stats Analyst (Part-Time Employees) will assist the Stats & Analysis Team in the production of live scoring and statistics across ESPN platforms. Responsibilities will include monitoring feeds from professional and college events, creating play-by- play, entering score updates and box score information, verifying information and updating clock and score values.

Interested students should visit jobs: (search stats for & Information job postings)

REU summer internship in Machine Learning

AN OPPORTUNITY FOR A 10-WEEK RESEARCH EXPERIENCE FOR UNDERGRADUATE STUDENTS is available in the area of Machine Learning. The program is sponsored by the National Science Foundation and is offered by the Information Characterization & Exploitation (ICE) Laboratory at Florida Institute of Technology (FIT) in Melbourne, Florida.

Machine Learning (ML) gradually evolved as a branch of Artificial Intelligence with its theory and applications positioned at the juncture of Computer Science, Engineering, Mathematics, Statistics and, even, Physics. Nowadays, ML’s role in successfully addressing hard, real-world technological challenges has become ever more current and central. Moreover, its presence and importance now permeates several aspects not only of cutting-edge technology such as computer vision, stock market prediction and big data analytics, but also our daily life through voice-driven searches on our smart phones or movie recommendations on video streaming services to name only a few.

The program currently accepts applications in order to form a very diverse, multi-disciplinary cohort of nascent researchers for this summer. Minorities, women and people with disabilities are especially encouraged to apply.

Without exceptions, applicants must be:

=> Majoring in an Engineering or Science discipline
=> US citizens or permanent residents
=> Undergraduates in good academic standing


=> Exposure to the exciting world of Machine Learning and its applications
=> Participate in a one-week crash course to familiarize yourself with Machine Learning

=> Work with experienced student mentors and experts in the field
=> Participate and contribute to cutting-edge Machine Learning research
=> Take part in visits to our local industry
=> Paid travel and accommodation expenses
=> Receive a competitive stipend for per diem expenses
=> Visit Central Florida venues such as Disney attractions and NASA’s Kennedy Space Center
=> Meet new people
=> Make new friends

Application Deadline: April 5, 2017
Apply online:

UMBC REU on High Performance Computing

UMBC has announced the 2017 edition of their REU Site on High
Performance Computing with interdisciplinary application projects of
mathematics and statistics.

The program is conducted in 8 weeks from June 19 to August 11, 2017. For all
information and to apply by March 01, 2017, please visit

All activities are conducted in teams, each supported by dedicated graduate
assistants and faculty mentors. The instruction includes lectures and
hands-on computer labs on C, MPI, Matlab/Octave, R, Linux, and LaTeX, using
the state-of-art cluster maya with more than 300 nodes
in the UMBC High Performance Computing Facility (
The research projects using scientific, statistical, and parallel
computing are
posed by application researchers from local industry and government agencies.

Professional field trips with career information at local government agencies
are included. UMBC is located close to national tourist attractions
in Washington, D.C., and Baltimore, and the natural attraction of Maryland.
Benefits of the program include a stipend of $4,000, housing provided,
food allowance, travel allowance, and books included.

The program’s webpage offers a detailed schedule and a comprehensive
description of the activities from a student viewpoint.
For specific questions, please e-mail

Statistics Internship at the Program of Applied Translational Research, Yale University

A statistics internship position is available for the summer of 2017 at the Yale Program of Applied Translational Research (PATR). The position involves participation in data management, statistical programming and analyzing data from a variety of data sources (administrative, clinical, or biomarker data). The Intern will also be involved in all aspects of publications including data validation, implementation of analytic plans, report generation, and preparation of written and oral presentations. An ideal candidate will have prior experience in data management or data analysis and will have outstanding communication skills and a strong work ethic. Preferred qualifications are for students pursing a MS/BS in statistics, biostatistics, mathematics or related field. This position is a great opportunity for those interested in obtaining applied statistical experience with exposure to clinical research.

The research group is composed of physicians, statisticians, research fellows, nurses, and study coordinators and is growing at a rapid pace. For more information about the PATR, please visit If interested in the position, please send a resume and cover letter to by March 1, 2017.

Pratt is looking for a data analyst to join their predictive analytics team. This role will be analyzing data around shop visits for jet engines.

This role will help to build out analysis and data/statistic models supporting their sales teams who are selling Pratt Engines. Much of the data being analyzed includes information around shop visit dates, what was fixed, environment data around how the engines were flown, and other generic information around the shop visit etc.

The goal of this role will be to help predict upcoming shop visits and their costs. This will in turn help the sales teams to educate their customers.

Much of this data will be pulled out of a large Teradata database. They will assist in building out the models.

This is a great opportunity for someone to work in an group where they can immediately impact the bottom line. They are also working on some really cutting edge jet engines highly regarded within the airline industry.

Desired Skills:

  1. 3+ years as a data analyst and experience doing predictive analytics.
  2. Strong understanding and working knowledge of Bayesian analysis.
  3. Working knowledge with analytics and statistics tools such as SAS, SPSS or R.
  4. Bachelor’s Degree in Math or Statistics

For more information, please contact Marcus Godin at

On Monday, January 23rd, the CCD is hosting the Opening Reception for the Spring 2017 Student Art Exhibition at Wilbur Cross. This semester-long art exhibition features artwork from 45 students from a variety of schools, colleges, and campuses. I would like to extend an invitation to you and your team to attend the opening reception from 4-7 PM in Wilbur Cross, room 202. Faculty, staff, students, family, and friends are welcome to attend.

Additionally, please help us promote Internship & Co-op Week; taking place from January 30th – February 3rd. Each day will feature programming targeted at helping our students find, apply, and prepare for internship and co-op opportunities. On Monday, January 30th, please join us for the Internship Showcase & Bootcamp, and help us celebrate our student interns! This event will take place from 5-6 PM in the Wilbur Cross South Reading Room. Come hear from UConn students who have interned at various organizations across the country!

Finally, on Wednesday, February 1st, from 11 AM – 3 PM in the Student Union 3rd Floor, over 60 employers will be on campus participating in the annual Internship & Co-op Fair. For a list of employers attending the Internship & Co-op Fair, please click here. Please see the attached flyer for an overview of all the events planned for the week!

The University of Chicago has recently created a Committee on Computational and Applied Mathematics (CCAM), an inter-departmental program to provide graduate training leading to the Ph.D. in Computational and Applied Mathematics. The Committee is now accepting applications to this exciting new Ph.D. program. The program will admit a small number of exceptionally qualified students. Interested students may use the application fee waiver code CCAM17 to waive the application fee. Applications are due January 31, 2017. For more information, please visit
Any questions may be directed to the Office of Admissions at

The 35th Graduate Summer Institute of Epidemiology and Biostatistics will be held at the Johns Hopkins Bloomberg School of Public Health in Baltimore, MD.

Our program offers short, intensive courses in basic and advanced epidemiologic principles and methods as well as in specialized topic areas, such as pharmacoepidemiology and systematic reviews.

  • One, two or three-week courses, one-day workshops, and online courses
  • Register for professional development or academic credit
  • Campus housing available, meals included

Complete course schedule posted January 2017
Registration begins February 13, 2017

For more information, please contact: Ayesha Khan, Department of Epidemiology, Tel: 410-955-7158; Fax: 443-287-8757; Email:

Professor Bahram Javidi in the Electrical & Computer Engineering Department at UConn is advertising a PhD fellowship for qualified students who are interested in my research on statistical imaging for biomedical applications including imaging for automated disease identification. US citizenship or permanent residence is required. The fellowship provides financial support to complete the PhD degree. Interested students are encouraged to send Dr. Javidi their resume and transcript of grades.

Information on the graduate program in statistics at Rice University can be found here.

Applications are now open for the 2017 Summer Program in Biostatistics & Computational Biology at the Harvard T.H. Chan School of Public Health.

“We are looking for:

  1. Underrepresented students in STEM, including racial/ethnic minorities, low-income students, first generation college students, and students with disabilities.
  2. Faculty who are interested in learning more about the field of biostatistics, in order to better inform their undergraduate advisees (the Visiting Faculty Workshop is a 3-day, expenses paid opportunity described here).

This is a wonderful, all-expenses-paid opportunity for quantitatively inclined underrepresented students and recent graduates with an interest in public health. Our digital brochure can be found online; please reply to this email if you would like some hard copies. We appreciate your help!”

The Graduate Program in Biostatistics at Vanderbilt University is seeking quantitatively oriented undergraduates (e.g., majors in statistics, mathematics, computer science, or quantitative sciences) who have an interest in pursuing a graduate degree in Biostatistics or Data Science.  Our program has an emphasis on biomedical applications, statistical theory, and computational methods as well as a strong emphasis on traditional data science topics such as machine learning and computational algorithms.

More information can be found in the brochure here.

Career Fair Employers for Math/Stats and Actuarial Students

Are you looking for an internship or a full-time job related to your major? Check out a selection of the awesome job types and employers that will be represented at the Center for Career Development’s upcoming career fairs:


Wednesday, March 29th, 11 AM – 3 PM

Snow Date: Thursday, March 30th


Actuarial Science 

Information on employers attending will be added as it becomes available.


Financial Services and Banking

Information on employers attending will be added as it becomes available.


Marketing & Sales

Information on employers attending will be added as it becomes available.


Not seeing the job type/industry you’re looking for? Consider talking to some of the 3rd party recruiters attending such as KFORCE, Robert Half, and Mackey & Guasco Staffing. Or visit the Center for Career Development to learn strategies to search for internships and jobs in your industry.



For up-to-date information on what companies will be at the fair as well as tips on preparing for the fair, event details, and interactive floorplans, download the UConn Career Fair app. Use the app to filter through employers to quickly find the perfect companies for you.


Still exploring your career options?

Reserve a time to meet with a Career Consultant by calling 860-486-3013. We can help you navigate your options and explore how your major connects to internships and jobs!