Certificate of Graduate Study in Data Science
The Department of Mathematics and Statistics offers a graduate certificate in Data Science for those candidates who are interested in attaining a working knowledge of methodologies in data science. Currently enrolled graduate students can apply for this certificate before they graduate from the degree program.
Program Goals: The certificate program addresses the growing demand for data scientists in the region. It equips students with the right blend of technical and analytical skills to meet the challenge of big data analytics. The program emphasizes technical proficiency and practical experience, and it provides students with advanced skills in data mining, statistics, machine learning, and database processing.
Learning Outcomes: Students who have completed the Certificate Program in Data Science will be able to conduct quality data science projects from research hypothesis formulation, data collection and management to analytical modeling and visualization, technical writing, as well as data product deployment.
A cumulative GPA of 3.0 or better is required in these courses, and they must be completed within six years of enrollment, which is defined as the date when the application for admission to the graduate certificate is accepted by the Graduate Committee. Courses taken for the certificate also may be used toward the master's degree in statistics, as long as they are completed within six years of enrollment in the graduate program (Master of Science in Statistics).
Students must take two foundation courses, choose at least two of three core methodology courses, and one (if necessary) from the elective courses to meet the credit requirements of the certificate program. Minimum number of credits required for the certificate: 15
Required foundation courses:
STA 574 Statistical Programming
STA 585 Linear Models and Forecasting
Choose at least two core methodology courses from the following:
STA 586 Predictive Modeling with Big Data
STA 588 Introduction to Statistical Data Mining
STA 596 Practical Data Science
Choose one elective from the following (if necessary):
STA/OPR 561 Deterministic Models in Operations Research
STA 587 Categorical Data Analysis
COS 571 Advanced Database Systems
COS 572 Artificial Intelligence and Data Mining
COS 575 Machine Learning
MBA 677 Information Visualization
MPH 675 Health Information Management
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.
Application Procedures and Required Materials
Application Deadline: Rolling admissions for Fall, Spring and Summer semesters
Applicants are required to provide the following materials:
- Application: Online Application
- Application fee: Waived for all applicants.
- 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.
- International College transcripts: In addition to an official copy of the transcript, an official evaluation of college-level transcripts from a NACES (National Association of Credential Evaluation Services) approved transcript analysis agency is required
- Resume: Submit a resume or CV that outlines professional, volunteer, and community experience.
- 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.
- TOEFL or IELTS: Students whose first language is not English are required to take the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) and submit official scores as part of the application process. See additional information below regarding test scores.
In addition to the standard application materials, international students must also provide the following materials:
- College transcript evaluation: official course-by-course evaluation of college-level transcripts from a NACES (National Association of Credential Evaluation Services) approved transcript analysis agency
- Declaration of Finances form accompanied by the appropriate financial documentation
- International students whose first language is not English are required to take the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) and submit official scores as part of the application process. Only applicants with TOEFL scores of 79 or higher on the internet-based test 550 or higher on the paper-based test, or 213 or higher on the computer-based test; or IELTS scores of 6.5 or higher will be considered for admission to a graduate program.
Applicants whose first language is not English
Students whose first language is not English are required to take the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) and submit official scores as part of the application process. Only applicants with TOEFL scores of 79 or higher on the internet-based test, 550 or higher on the paper-based test, or 213 or higher on the computer-based test; or IELTS scores of 6.5 or higher will be considered for admission to a graduate program.
Where to send transcripts and application materials
Official transcripts and other supporting documents can be sent to:
Application Processing Center
University of Maine System
P.O. Box 412
Bangor, ME 04402-0412
Colleges and universities that participate in electronic submission of transcripts can send official transcripts to email@example.com. Resumes, essays, and other documents can also be sent to firstname.lastname@example.org.
For a transcript or recommendation to be considered official, it must be sent by the institution or the person writing the recommendation.