Admission Requirements

For more information about the application process or to apply to the Data Science MS please visit the Admissions page.  

Documents to Upload

Statement of Purpose
You must write a statement of purpose outlining your immediate educational and long-range career objectives in relation to Data Science and why you are applying to the University of Minnesota's Data Science program.  Discuss any interests in specific research topics or faculty members' projects.  In a separate section within the Statement of Purpose, concisely discuss your relevant educational, research, or industrial backgrounds as they relate to data science or data analytics, and the specific prerequisite areas listed below (Calculus and related math classes, statistics, computer programming & related systems).  If you have expertise in computing or another prerequisite field that is not reflected in your transcripts, please include a description. Include any unique experiences relevant to research you have done, especially any data-driven projects. Give an example of the most complicated computer-driven problem you have solved or program you have implemented.

Curriculum Vitae (CV)
Please include a Curriculum Vitae which includes educational institutions attended, degrees awarded, and employment history, with dates.  If not listed elsewhere, include a table or list showing how you have satisfied each of the admission prerequisites listed at the bottom of this page - list specific courses or other specific experiences, even if listed elsewhere in this application.  Lacking specific prerequisites does not automatically preclude admission, but your Statement of Purpose would need to include your plans to fulfill the missing prerequisites.  Short descriptions of any special projects or experiences can be included here, though longer descriptions should be reserved for the Statement of Purpose submitted separately.   You will have to upload separately complete transcripts from all post-secondary schools attended (informal copies are OK though official copies will be required upon admission before you can enroll).

Letters of Recommendation
Submit the names of three individuals who can speak to your ability to do graduate level work in Data Science, ideally familiar with the background experience described in your Statement of Purpose. One of the three letters must be recent (in the last two years), and if you have been out of school for less than 5 years, one of three letters must be from a faculty member. [For the Post-Baccalaureate Certificate only one letter is required, though two are recommended.]

Transcripts
Upload unofficial transcripts directly to your Apply Yourself per the instructions for submitting your application to the graduate school. Official transcripts will be required if you are admitted and wish to attend our program. No hard copies should be faxed or mailed as this will significantly delay the processing of your application.

Test Scores

Applicants must submit test score(s) from the following: 

GRE
There are no minimum GRE scores. GRE scores are just one factor when we review files. A high GRE score will not automatically admit you to our program nor will a very low GRE score automatically cause your application to be rejected. However, we do expect to see scores in the upper percentile. [For the Post-Baccalaureate Certificate, the GRE is only recommended, not required.]

Institution Codes

  • GRE Institution code: 6874
  • GRE Department code: NONE

International applicants must submit score(s) from one of the following tests:

TOEFL
Send official TOEFL scores (international students only) to the graduate school. Indicate the U of M Institutional code, which is Institution Code: 6874

EXCEPTIONS: Applicants who have completed 24 quarter credits or 16 semester credits (within the past 24 months) in residence as a full-time student at a recognized institution of higher learning in the United States (or other English-speaking country) before entering the University of Minnesota may be exempted from this requirement.  Applicants who have been working full-time in the United States in a Data Science related field for at least two years can inquire about an exemption.

Test minimum requirements:

TOEFL

Internet Based - Total Score: 79
Internet Based - Writing Score: 21
Internet Based - Reading Score: 19
Paper Based - Total Score: 550

IELTS
Total Score: 6.5

MELAB
Part 1 (Composition) score: 80

The TOEFLMELAB, or IELTS is required of all applicants whose first language is not English, regardless of U.S. Citizenship status.

Institution Codes

  • TOEFL Institution code: 6874
  • TOEFL Department code: NONE

Education Requirements

Minimum degree requirements
A bachelor's degree from an accredited college or university in computer science, math, statistics, engineering, natural sciences, or a related field.

GPA
Students should self-report their own calculated GPA using the original scale of their school.  A minimum GPA of 3.0 (or the equivalent in their own scale) in undergraduate coursework is required to be considered for admission.

Prerequisite Requirements

Our Data Science program consists of rigorous courses in which the following prerequisites are the minimum needed to succeed. The following are the minimum requirements to apply, but applicants are expected to significantly exceed these minimum requirements in at least one area related to mathematics, statistics, or computer science, either through their coursework or work experience.  A lack of one or two prerequisites does not automatically preclude admission, but your Statement of Purpose would need to include your plans to fulfill a missing prerequisite.  In any case, a complete application must include a list showing how you have fulfilled each of the following prerequisites (list specific courses or experiences) or your plans to fulfill them before or after arrival.  Your admission may be conditional on meeting the prerequisites within a limited time.

  • Mathematics:
    • Calculus (2 semesters)
    • Multivariable Calculus (1 semester)
    • Linear Algebra (1 semester)
  • Statistics (1 semester)
  • Computer Programing (2 semesters) or equivalent experience in a general purpose programming language (e.g., C, C++, Java, Python), including basic algorithms and data structures equivalent to the first two semesters of beginning computer science courses as part of an undergraduate Computer Science degree.
  • Experience with mathematical software environments such as Matlab, R or the equivalent is a definite plus, but not a total substitute for experience with a general purpose programming language.  A class on advanced data structures is also a plus.