Application Requirements

No matter the industry you work in or the one you want to break into, data plays a vital role in guiding it. We can help you elevate your abilities so you’re qualified to do both the in-depth work of data analytics and manage the work of others in the industry.

Who Should Apply

  • College seniors, recent college graduates, working adults, and military personnel
  • Individuals who possess any of the following: 
    • Technical skills
    • Familiarity with mathematics and statistics
    • Computer programming experience
    • Leadership skills
    • A passion for data

Prerequisites and Core Competencies

The most competitive candidates will satisfy the prerequisites and core competencies as follows:

  • A quantitative undergraduate major (examples include but are not limited to mathematics, the sciences, social sciences, and business with a quantitative emphasis) or a career in a technical or quantitative area
  • Two semesters of calculus
  • One semester of computer programming
  • Familiarity with statistics
  • Familiarity with linear algebra

*Candidates who meet some but not all of the prerequisites and core competencies are encouraged to apply and will be considered conditionally. The Program Director can identify opportunities for those candidates to gain familiarity in the relevant area(s).

How to Strengthen Your Application

If You’re in School:

  • Take additional classes in quantitative disciplines
    • Required Pre-requisites: elementary linear algebra, introductory statistics, calculus 1 and 2
    • Suggested Electives: calculus 3, probability theory, differential equations, additional statistics
  • Explore computer programming, particularly Python
  • Engage in leadership opportunities
  • Gain practical experience through internships
  • Build relationships with your professors to secure letters of recommendation

If You’re in the Workforce:

  • Brush up on your algebra, calculus, and statistics
  • Explore computer programming, particularly Python
  • Continue developing your leadership skills
  • Reconnect with professors and former supervisors to secure letters of recommendation

Application Requirements

  • A bachelor’s degree from a regionally accredited school, or the international equivalent
  • Candidates should possess familiarity with core competencies which may be demonstrated by education or experience
    • Education - bachelor's degree in mathematics, business, computer science, information systems, the sciences, health science, quantitative social science or related field; the most competitive candidates will have at least a 3.0 cumulative GPA in undergraduate coursework
    • Experience - relevant work experience in a technical or quantitative area
  • Official transcripts from your degree-granting institutions
  • GRE, GMAT, or LSAT test scores (not required for those who have completed a master’s degree)
  • Current resume or Curriculum Vitae
  • One letter of recommendation from academic and/or other professionals addressing your ability to succeed in the program (three recommended)
  • Personal statement that describes how the experiences in your life make you ideally suited to become a data scientist
  • English language proficiency if your education was in a language other than English (to be shown through results from the TOEFL, IELTS, or completion of the appropriate level in the Saint Mary’s College English Language School)

Applying Directly to Saint Mary's College

  • Complete the application form
  • Direct letter of recommendation writers to either submit through the application or send the letter directly to the College
  • Arrange to have official transcripts sent directly to the College
  • Arrange to have official GRE, GMAT, or LSAT scores sent directly to the College (waived if applicant already has a masters degree)
  • Submission of a $50 application fee.  Pay your application fee using the button below.
 

Applying to Saint Mary's Through PSMCAS

  • Complete the application form
  • Direct letter of recommendation writers to either submit through PSMCAS or send the letter directly to the College
  • Arrange to have official transcripts sent directly to PSMCAS (note it can take up to 4 weeks to verify transcripts)
  • Arrange to have official GRE, GMAT, or LSAT scores sent directly to PSMCAS or the College (waived if applicant already has a masters degree)
  • Submission the appropriate fee to PSMCAS $125 if this is your first application or $65 if it is an additional application.  There is no additional fee charged by Saint Mary’s College.

Applications are reviewed on a rolling basis, but prospective students are encouraged to apply early in order to increase their chance of admission.  Applications completed by January 15, 2017 will receive a decision no later than February 1, 2017.  The program has a priority deadline of June 15, 2017; applications may only be submitted after this date if seats are available. Application documents may be sent directly to Saint Mary’s College at the address below.

To submit materials, please use the following addresses:

Postal Mail
Saint Mary’s College
Graduate Admission Office
160C Le Mans Hall
Notre Dame, IN 46556-5001

Email
graduateadmission@saintmarys.edu

Applying as a Current Saint Mary's College Junior

Current Saint Mary’s College students who are second semester juniors, may apply to the Master of Science in Data Science program in the year prior to their intended start of the master’s program.  For example, a second semester junior may apply beginning January 2017 for the Fall 2018 entering class.  Current Saint Mary’s juniors are not required to take the GRE.  Additionally, the application fee is waived.  If admitted to master’s program, the student may take up to two (2) graduate level courses in the Data Science program while she is a senior at Saint Mary’s College allowing her to earn up to six (6) credits towards her graduate degree while still an undergraduate. The application requirements are as follows:

  • The applicant is a current second semester junior at Saint Mary’s College majoring/minoring in mathematics, business, computer science, information systems, the sciences, health science, or quantitative social science 
  • Coursework and/or experience in the prerequisites and core competencies
  • Official transcripts from your degree-granting institutions
  • Current resume or Curriculum Vitae
  • One letter of recommendation from academic and/or other professionals (three recommended)
  • Substantive personal statement that describes how the experiences in your life make you ideally suited to become a data scientist