Data Science and Analytics (DSAN-MS), M.S.

New Student Admission Requirements

• Completed application for admission.
• Request official course transcripts from all undergraduate and graduate colleges and universities previously attended, which include confirmation of a bachelor’s degree from a regionally accredited university showing a 3.0 (out of 4.0) or above GPA on your last BS or MS degree.
• Submit a current, professional resume or curriculum vitae.
• Submit a one-page Statement of Purpose, explaining reasons for seeking admission to our program.
  • You should explain what factors have influenced your decision to apply and how this degree will help you achieve your short-term and long-term career goals.
  • Your Statement of Purpose should also show that you have taken steps to learn about our program and be familiar with and prepared for online or mixed delivery accelerated courses.
• Request two (2) academic or professional recommendations attesting to your ability to succeed in graduate studies.
• Applicant should show proof of familiarity with inferential statistics and some programming language. Transcripts or course descriptions may show that. A student may be asked to take remedial course(s) if the student does not have an adequate foundation to pursue this degree.
• International students whose first (native) language is not English need to have English proficiency test scores sent directly from the testing agency to demonstrate meeting the Ferris standards for English proficiency (e.g., TOEFL, IELTS, and Duolingo).

Provisional admission may be granted if an applicant does not meet all the admission requirements. If provisional admission is granted, the applicant must successfully complete nine (9) credit hours of graduate-level coursework with a 3.00 GPA (on a 4.00 scale) and correct all deficiencies in their admission requirements.

These requirements also apply to Transfer Students.

In order to graduate from Ferris State University, students must meet both University and Programmatic Graduation Requirements.

Core Requirements - 21 Credits Required

• SENG 609 - Machine Learning Foundations Credit Hours: 3
• DSAN 675 - Programming for Data Science Credit Hours: 3
• DSAN 685 - Visual Data Analytics Credit Hours: 3
• DSAN 721 - Applied Statistical Method Credit Hours: 3
• DSAN 770 - Data Mining Credit Hours: 3
• DSAN 780 - Predictive Analytics Credit Hours: 3

•  

• Choose 1 of 2

• DSAN 791 - Data Science Internship Credit Hours: 3
• DSAN 799 - Data Science Capstone Project Credit Hours: 3

Concentration - 9 Credits Required (Advisor Approval)

Choose one concentration.

Notes

• Students who return to the university after an interrupted enrollment, not including summer semester, must normally meet the requirements of the curriculum which are in effect at the time of their return, not the requirements which were in effect when they were originally admitted.
• In order to earn Graduate Honors, a student must meet the GPA requirements: 3.75 to 3.89 overall GPA for Distinction and 3.90 to 4.00 overall GPA for Highest Distinction.
• Credit Variance - Credits required may vary based on course placement, prerequisites, etc. If you have questions, contact your advisor.

University Graduation Requirements

These are the minimum graduation requirements for a graduate degree at Ferris State University:

• A minimum of 30 credits must be earned.
• A 3.00 or higher cumulative Ferris State University GPA in graduate courses is required.
• A minimum grade of C or higher must be earned in each course with no more than two grades of C.
• A minimum of 70 percent of the degree requirements must be earned from Ferris State University to meet the Residency requirement.
• No more than 20 percent of required hours can be thesis credits.
• No more than 6 hours can be independent study and/or special topics.
• Degree requirements shall be completed within 5 years from first enrollment in a graduate course following admission.
• Each student must complete a thesis, graduate project, policy paper, internship, comprehensive examination, or additional course work.

Programmatic Graduation Requirements

These are the additional graduation requirements mandated by the program:

• All requirements as specified in the All Major Requirements section must be met.

First Year

First Year

Second Year