The Global Training & Development Institute facilitates international student mobility through the coordination of non-degree programs for international students from select participating institutions around the world.

Students interested in participating must be nominated by their home institution. Participating institutions are listed under International Non-Degree Student Mobility Programs. In addition to fulfilling the general university-wide requirements, international non-degree students must fulfill department/program specific requirements. The final admissions decision rests with the hosting UConn department (in the case of undergraduate non-degree study) or with the UConn Graduate School (in the case of graduate study). Individual department requirements can be found below. These requirements may include minimum GPA, skype interviews, specific course prerequisites, etc.

International students seeking non-degree admission under the Statistics 3+1 program must demonstrate a strong background in quantitative training and have a GPA of 3.4 or higher in core Mathematics/Statistics courses (2- or 3- semester Calculus sequence including multivariate calculus; Linear Algebra; and 2-semester Probability and Statistics sequence).Preference will be given to students who have completed 1-2 semester real analysis and/or at least two applied statistics courses (e.g., regression, multivariate analysis, experimental design, computing, etc.), and who are familiar with statistical software (e.g., SAS/R) or other programming languages (C/C++/Fortran). Verbal and written proficiency in English is critical for success in this program.

Admitted students will meet with an advisor in the department of Statistics to discuss his/her plan of study while at UConn:

4th Year Undergraduate (UConn): Students can choose from three suggested tracks that differ in the core sequence.

  • Track I: Graduate level Mathematical Statistics sequence.
  • Track II: Graduate level Applied Statistics sequence.
  • Track III: Undergraduate level Mathematical Statistics sequence.

Elective courses can be chosen from Analysis of Experiments, Design of Experiments, Biostatistics, Applied Time Series, Stochastic Processes, Statistical Computing, Nonparametric Methods, Undergraduate Research, or other related courses with advisor approval.