4 plus 1 Data Science Program

Data-driven decisions are made across most major industry sectors on a daily basis. This means the work of data scientists can be done by those from an array of backgrounds as long as they have a foundation in mathematics. At Saint Mary’s students can earn a bachelor’s degree and master’s degree in just five years. The chart below demonstrates a sample of possible course sequences by major. 

4+1 Application Requirements

Current Saint Mary’s College students meeting the requirements set forth below may apply to the Master of Science in Data Science program under the 4+1 option.  If admitted to the master’s program, the student will take 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 OR
  • The applicant is a current first semester senior at Saint Mary’s College majoring/minoring in mathematics, business, computer science, information systems, the sciences, health science, or quantitative social science who has registered for a graduate Data Science course in her current semester

And

  • a personal statement that describes how the experiences in your life make you ideally suited to become a data scientist
  • official transcripts
  • completion of prerequisite courses
  • complete application form

 

Prerequisite Courses

  • Calculus I
  • Calculus II
  • Statistics
  • Computer Programming
  • Linear Algebra (or equivalent)
  • *One graduate Data Science course
    • *only for those applying in fall semester of her senior year

 

Program Cost

In the fifth year of the program, students will be charged the per credit hour rate equivalent to the cohort they are joining.

Sample Course Sequence by Major
  Mathematics Statistical & Actuarial Mathematics Computing & Applied Mathematics Psychology Any Other Major

1st
Year

  • Calculus I
  • Calculus II
  • Computer Programing
  • Calculus I
  • Calculus II
  • Computer Programing
  • Calculus I
  • Calculus II
  • Computer Programing
  • Calculus I
  • Calculus II
  • Calculus I
  • Calculus II
2nd
Year
  • Foundations of Higher Mathematics
  • Calculus III
  • Numerical Analysis
  • Probability
  • Foundations of Higher Mathematics
  • Calculus III
  • Numerical Analysis
  • Probability
  • Foundations of Higher Mathematics
  • Calculus III
  • Numerical Analysis
  • Probability
  • Level 2 Psych Course
  • Level 3 Psych Course
  • Orientation to Psych
  • Computer Programing
  • Computer Programing
3rd
Year
  • Statistics
  • Analysis I & II or Abstract Algebra I & II
  • Statistics
  • Analysis I & II or Abstract Algebra I & II
  • Financial Mathematics
  • Statistics
  • 2 300/400-level CPSC electives
  • 1 300-level MATH elective
  • Statistics
  • Linear Algebra
  • Level 3 Psych Course
  • Level 4 Psych Course
  • Methods
  • Statistics
  • Linear Algebra
4th
Year
  • Pro-Seminar
  • 2 MATH or CPSC electives
  • Computer Programming
  • Applied Statistics I
  • Pro-Seminar
  • Stochastic Math
  • MATH or CPSC elective
  • Computer Programming
  • Applied Statistics I
  • Pro-Seminar
  • 2 300/400-level CPSC electives
  • 1 300-level MATH elective
  • Computer Programming
  • Applied Statistics I
  • Senior Seminar
  • Level 4 Psych Course
  • Computer Programming
  • Applied Statistics I
  • Computer Programming
  • Applied Statistics I
5th
Year

Data Mining
Data Mining at Scale
Applied Linear Algebra
Applied Statistics II
Database Systems
Data Preprocessing and Visualization
Practicum
3 Electives

Bolded courses fulfill a Sophia requirement as part of the College’s general education requirement.

Courses in blue are graduate-level courses in the Data Science program.