Scholarships and Internships

Scholarships:

The Department of Statistics offers the following scholarships:

 

University Scholarships
For university scholarships, please visit the Scholarships page under Scholarships & Financial Aid. You can also use this link to apply for University Scholarships based on your classification.

 

Shell Oil
These scholarships are awarded to sophomore or junior statistics majors. Two scholarships of $2,500 each will be awarded for the 2017-2018 academic year. The duration of each scholarship is one year. Applicants must have a GPA of at least 3.0 at the time of application and must maintain at least a 3.0 GPA for the duration of the award. Selection of recipients will be done by a departmental scholarship committee in the spring semester of the 2016-2017 academic year. To apply, complete this form and submit to Dr. Dabney by March 31.

NOTE: In subsequent semesters, statistics majors will need to apply for general financial aid through the Texas A&M Financial Aid and Scholarship system.

 

 

Internships:

For many students, the foundation of their career development process is an internship. Internships are beneficial in providing professional experience to explore career areas, gain practical skills, and make industry contacts. An internship is an investment in your future as it can provide opportunities to learn more about your field of interest, networking, time management, and is an excellent resume builder. Learn more about preparing a resume and cover letter, finding an internship, and getting credit hours toward your degree below.

 

Where to Start:

  • Visit the Career Center:
    Visit the Career Center website for current students to get help with your resume, cover letter, and view additional internship opportunities.
  • Join an Association:
    You can also find internship opportunities through the American Statistical Association (ASA). You do not need to be a member to see and apply for these internships.
  • LinkedIn:
    LinkedIn is a social networking site designed for professionals. You can connect with students, colleagues, and search for jobs and internships. Tip: Try searching for “Statistics Intern” and narrow down your search to a specific area or state. You can also find suggestions on making your LinkedIn profile stand out here.
  • Join our LISTSERV:
    To subscribe to the ug-stat listserv, send an email to listserv@listserv.tamu.edu and in the BODY add: “SUBSCRIBE ug-stat firstname lastname” (minus the quotes, and replacing “firstname” and “lastname” with your name). The listserv will provide timely information that is relevant to undergraduate students majoring or minoring in statistics at A&M, as well as to faculty and advisory staff in the Department of Statistics.
  • Get Creative and Search:
    You can search for internships, especially summer internships at the beginning of the year. Depending on what you’re interested in, you can search a company’s Job Search feature for “intern” positions. For example, if you are interested in working in sports analytics, search ESPN jobs for “intern” positions.
  • Additional Opportunities:
    Here are some annual opportunities available for undergraduate statistics majors. Please check eligibility before applying

      • REU Summer Internship in Machine Learning:
        AMALTHEA is a 10-week, summer research experience (REU) site for domestic undergraduate students primarily funded by the National Science Foundation and hosted at Florida Institute of Technology in Melbourne, Florida. Its broader research area is Machine Learning (ML), its theory and applications. Due to AMALTHEA’s particular intellectual focus, our program is annually seeking to recruit nation-wide a diverse body of student participants from a wide spectrum of disciplines such as Engineering, Computer Science, Mathematics, Statistics and Physics.
        Find more information and apply here: http://www.amalthea-reu.org/

     

      • UMBC REU on High Performance Computing:
        UMBC has an 8-week internship of REU Site on High Performance Computing with interdisciplinary application projects of mathematics and statistics. 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 (hpcf.umbc.edu). The research projects using scientific, statistical, and parallel computing are posed by application researchers from local industry and government agencies.
        Find more information and apply here: http://hpcreu.umbc.edu/

     

      • Summer Program in Biostatistics & Computational Biology at the Harvard T.H. Chan School of Public Health:
        The Summer Program is a relatively intensive 6-week program, during which qualified participants receive an interesting and enjoyable introduction to biostatistics, epidemiology, and public health research. This program is designed to expose undergraduates to the use of quantitative methods for biological, environmental, and medical research.
        Find more information and apply here: https://www.hsph.harvard.edu/biostatistics/diversity/summer-program/about-the-program/

       

      • Texas A&M Energy Institute Student Research Internship Program:
        The Texas A&M Energy Institute is pleased to announce the 2017 Student Research Internship Program, an exceptional opportunity for undergraduate students to conduct hands-on energy research under the supervision of one or more of the Texas A&M Energy Institute’s faculty affiliates. Research results during this program could contribute to a journal publication or possibly be presented at a local or national conference.
        Find more information and apply here: http://energy.tamu.edu/research/student-research-internship-program/

 

If you are an organization interested in recruiting Texas A&M Statistics undergraduate students for either internships or full time positions, please email Dr. Alan Dabney at adabney@stat.tamu.edu.

 

Helpful STAT Links:

Helpful TAMU Links: