Master's in Science in Data Science Program

Admissions requirements, deadlines, and FAQs about the Master's in Science in Data Science program.

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The application for admission for Fall 2020 is available here.

The deadline for priority consideration is May 1, 2020. The final deadline for all application materials is June 1, 2020.

Policies on Acceptance of Academic Credit

Transfer Credit will not be accepted from other institutions, nor will transfer credit be accepted for experiential learning or professional certificates.

Applicants may petition the Graduate Admissions Selection Committee for permission to take a written qualifying examination. Applicants who pass the qualifying examination will receive credit by exam for up to 12 graduate credit hours towards a Master’s degree in Data Science.

If the petition is granted, the Master’s in Science in Data Science Program sets an appropriate examination and certifies competency in four areas required for further study in Data Science: statistical inference, data storage and retrieval, algorithms for data science, and data munging and exploratory data analysis. Enrolled students may not receive credit by examination when the same course has previously been failed.

Minimum Requirements for Admission

These are required, at minimum:

  1. Documentation of a bachelor’s degree from an accredited college or university with an undergraduate grade point average of at least 3.0, or documentation of a bachelor’s degree and record of successful achievement at an accredited college or university that uses narrative evaluations rather than grades.
  2. Successful completion of a course in Linear Algebra; and
  3. Successful completion of a course in programming, or proof of programming proficiency.

Please ensure that you submit all required application materials. These are:

  1. The online application and application fee;
  2. Transcripts from all post-secondary institutions attended (included institutions at which a degree was not conferred, but credits were earned);
  3. Two letters of recommendation.
The following are also required but can be fulfilled at a later date (no later than the program matriculation date). Candidates with missing documentation for these two requirements may receive a conditional acceptance.
  1. Successful completion of a course in Linear Algebra
  2. Successful completion of a course in programming, or proof of programming proficiency

Meeting minimum requirements does not guarantee admission. The process is selective, and will include consideration of the following:

  1. Graduate Application for the Master’s in Science in Data Science program
  2. Recent employment and/or academic experience (including fellowships, internships, research positions)
  3. Academic record (all post-secondary transcripts), with documentation of a bachelor’s degree from an accredited U.S. college or university (or the foreign equivalent, as determined by a NACES-member transcript evaluation service)
  4. Letters of recommendation
  5. GRE, GRE Subject, or GMAT scores (if provided) (NCF’s GRE code is 5506)
  6. Students with academic records from non-U.S. colleges or universities should arrange for professional evaluation (course-by-course with grade and credit equivalents, and grade point average), and translation, if necessary, of their transcripts by a NACES-member service.
  7. Students who are not U.S. Citizens or U.S. Permanent Resident Aliens, and whose first language is not English, must provide proof of English proficiency. Typically, recent scores (within the past two years) will be required, as follows:
    1. Test of English as a Foreign Language (TOEFL): score of 83 or better on the International English Language Testing System (IELTS): score of 6.5 or better; or
    2. Recent records (e.g., of the past two years) of successful academic or TOEFL IbT, or
    3. 560 on the Paper-Based TOEFL; or professional work in a setting where English is the primary language in use may be considered as a substitute for the testing requirement.