How To Apply

Apply Now for Summer 2016

Our priority deadline is Dec. 4, final is Mar. 1; afterward we accept and review applications on a space-available basis.

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Application Instructions for All Graduate Programs

The Office of Graduate Programs is the graduate admission office for the College of Arts and Sciences.

They provide you with application information for each graduate program, process the applications, and prepare them for review by your program's admission committee. They can also provide you with information about important services at the university.

MS Analytics Specific Instructions

  • Bachelor's Degree Background
    Applicants who hold a Bachelor's degree in any field and have fulfilled the MS Analytics admission requirements (see below) are considered for admission. Applicants with academic or professional backgrounds in math, computer science, engineering, finance, economics or equivalent skills are encouraged to apply.

  • Prerequisite Courses
    Must be completed at an accredited college or university before starting the graduate program:

    • Inferential Statistics
    • Linear Algebra
    • A social science course
    • Programming Experience - Java, Mathematica, Matlab, Python or C++:
      • Ability to write structured programs in a high-level language (for example: objects, methods, functions)
      • Ability to read/write data from files
      • Facility with the three basic control structures (block, conditional, iteration)
      • Understanding of variables and data types (int, float, string, boolean)
      • Familiarity with basic data structures (list, dictionary, stack, queue)
  • Recommended Background
    Courses or experience that the program recommends but are not required for admission:

    • Calculus
    • Data Structures
    • Programming in R
  • Statement of Purpose
    Upload a 1-2 page statement that describes your educational and work experience as it relates to the Analytics Program, and your career goals. You may also use this statement to explain any deficiencies in your academic record (e.g., failing or low grades in quantitative courses such as math, economics, computer science, or engineering; a low GPA in one semester, year or degree program; lack of relevant coursework that is compensated by self-study or work experience, etc.), gaps in educational or employment history, reasons for low quantitative or verbal scores on the GRE or GMAT tests, and any other topics in your background and experience that you would like to address.

  • Letters of Recommendation
    We require two letters of recommendation, preferably at least one from an academic source. Applicants should provide the names and email addresses of two references. Follow the instructions in the online application in order to provide your references' contact information.