Data Science

Program Type
Certificate of Graduate Study
Certificate of Graduate Study
Mode of Study
In Person

Tuition & fees

Costs include tuition & fees. See cost details

Credit hours

15 required credit hours. Most courses are equal to 3 credit hours. Browse course list

Program duration

Finish in as little as 1 year and six months. Explore program requirements


Apply for fall 2023. View application process & deadlines

Program Highlights

  • Take advantage of the flexibility to choose from both day and evening classes.
  • Study with faculty with diverse expertise who are dedicated to helping you succeed.
  • Learn to use critical thinking skills and apply knowledge and methods when analyzing problems and developing state-of-the-art solutions.
  • Gain the right blend of technical and analytical skills to meet the challenge of big data analytics.
  • Learn to use computer software packages such as Mathematica, MATLAB, Minitab, and SAS.
A student and a professor point to an iPad while working on computers

Program requirements

This certificate program is designed for candidates who are interested in attaining a working knowledge of methodologies in data science. It emphasizes technical proficiency and practical experience, providing students with advanced skills in data mining, statistics, machine learning, and database processing.

John Mitchell Center on the University of Southern Maine Gorham campus.

Engaged faculty

Small class sizes enable our dedicated faculty to maintain close connections with students. In addition, faculty members are highly accessible outside of the classroom to help provide extra support.

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Future degree planning

Interested in earning your Master’s Degree in Data Science in the future? The credits you earn through this certificate program can be applied to our Data Science MS. Some restrictions may apply.

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Next steps

Our graduate admissions counselors are here to answer your questions about the admissions process, our academic programs, and student support services.

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Meet us

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Admission information: Certificate of Graduate Study in Data Science

Application deadlines

We accept applications on a rolling basis and review them continuously.

Application deadlineFall term startSpring term start
All applicantsAugust 1, 2023 for Fall 2023December 15, 2023 for Spring 2024

Applicants must hold a baccalaureate degree from an accredited institution with a cumulative GPA of 2.75 or higher, and they must have completed MAT 153 Calculus B, MAT 281 Introduction to Probability, MAT 282 Statistical Inference, or their equivalents.

Applicants are required to provide the following materials:

General requirements

  • Application: Online application
  • Application fee:
    • In-state, out-of-state, and Canadian applicants: Free to apply
    • International applicants: Submit US $50 fee to apply
  • Transcripts: Official transcripts from all colleges or universities attended, excluding the seven campuses of the University of Maine System (UMS transcripts are accessible to USM). A transcript is official when sent directly from the institution.
  • Resume: Submit a resume or CV that outlines professional, volunteer, and community experience.
  • Students whose first language is not English may be required to take one of the following: Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) or the Pearson Test of English (PTE) or Duolingo. Applicants must submit official scores as part of the application process. See additional information regarding test scores and requirements.

Additional requirements

  • Essay: Applicants must submit a personal statement of purpose about why they are interested in this program.
  • Letter of Recommendation: One letter of recommendation. Recommendations should be from individuals who are qualified, through direct experience with your academic or professional work, to comment on your ability to undertake graduate study and your chosen profession.

English proficiency test scores

View test requirements

Where to send application materials

Get our mailing address and email address