|Format||Credit Hours||Tuition||Application Deadline||Test Requirements|
|100% Online||15 credits||$461/cr. in-state and $576/cr. out-of-state*||Rolling Admissions||None|
*This special e-tuition rate applies to out-of-state students enrolled in a UMaineOnline degree or certificate program.
Graduate Certificate in Data Science and Engineering
The online Data Science and Engineering Graduate Certificate enables students to meet the growing demand for professionals with core skills in managing and analyzing complex data and analytics challenges. This program provides a pathway for students from diverse fields to transition to multiple data science and engineering career paths by providing them with core graduate-level courses across the entire spectrum of the data lifecycle.
Many course options are available based on the specific backgrounds and interests of each student and whether prerequisites have been met through previous coursework.
Applicants to the data science and engineering program should have at least one college-level statistics course in their backgrounds. Admitted students have the opportunity to become familiar with various data science, data mining, data engineering, business analytics, machine learning, and artificial intelligence topics. Computer programming, statistics germane to data science, and systems knowledge may be picked up as part of the program if applicants don’t already have these foundations. Applicants with undergraduate degrees in computer science, engineering, math, and similar fields (i.e. those with two semesters of calculus and calculus-based statistics) have the opportunity to pursue higher-level machine learning and artificial intelligence fundamentals and theory courses along with applications of advanced AI methods addressing real-world problems. The multiple paths to graduation make the new program highly flexible in meeting individual student needs.
An advisor will help you select the courses that are best suited for you and your goals.
Students must complete 15 credits consisting of:
- Required Course: DSE 510: Practicum in Data Science and Engineering (3 credits)
- 3 courses (9 credits) from at least three of the five Theme Areas
- 1 course (3 credits) from within the Foundation Courses, Theme Areas, or Domain Specializations
You’ll learn from professors who conduct cutting-edge research and are internationally recognized for their expertise. Our faculty are passionate about online teaching and foster thought-provoking virtual learning environments.
The private, public, and research sectors rely heavily on data science and engineering for analyzing and translating massive, complex, heterogeneous, and dynamic data into manageable forms; creating new information; and providing insights in order to better understand phenomena and guide decision-making. For businesses, governments, and academic institutions throughout Maine and beyond there is a growing need for a workforce well trained in exactly such skills.
Have questions about earning your Graduate Certificate in Data Science and Engineering online with UMaine? Contact Richard Roberts, UMaineOnline Advisor, at 207.581.5858 or at firstname.lastname@example.org.
Applications are accepted and reviewed on a rolling basis. Potential students can apply and be accepted at any time, including right up to the week before classes begin.
- A bachelor’s degree from an accredited college/university
- Undergraduate GPA of 3.0 or above (exceptions are considered on a case-by-case basis)
- At least one college-level statistics course (applicants without this requirement may take an approved college statistics course prior to or made part of conditional or provisional admission)
The admission evaluation process begins once we’ve received all your application materials. Before you apply, please review the application information and the application instructions. When you’re ready to apply, please submit the following:
- An online application
- An essay describing your motivations, life experiences, and ability to succeed in a graduate program
- Official academic transcripts
- Current resume with contact information for three professional references