Data Science and Engineering Graduate Certificate

 Return to: Graduate Programs, Certificates, Specializations, Emphases

 

The Data Science and Engineering programs offered at the University of Maine are intended to meet the growing demand for graduates with core skills in managing and analyzing complex data and addressing data analytics challenges. Students from diverse backgrounds may advance their career potential by building knowledge in the domain. The graduate certificate begins this process as either a stand-alone graduate credential or leading to a full graduate degree. Practitioners across business, industry and government acquire base skills in order to keep up with changing information technology and data challenges in their work environments. The Graduate Certificate in Data Science and Engineering (GCDSE) consists of 15 credits and is designed to provide a foundation in key aspects of the field.

 

A candidate must complete 15 graduate course credits on-campus or online on a program of study approved by advisors that includes:

• A specified foundation course in each of statistics, programming, and systems unless waived based on previous coursework
• DSE 510 Practicum in Data Science and Engineering (3cr)
• 9 course credits drawn from at least three of the five Theme Areas
• further elective course credits from within the Foundation Courses, Theme Areas, or Domain Specializations as needed to arrive at the total of 15 credits

 

If none of the foundation courses are waived, the graduate certificate may require up to 21 credits to complete. If all are waived based on previous coursework, at least one elective course will be necessary to complete the 15 credit requirement.

Students in consultation with their adviser should not select courses that are duplicative of courses that may have been taken in the student’s undergraduate degree program.  For instance, if a previously taken course is duplicative of a course in one of the five core theme areas, simply select another course in that area or another theme area so that the total is still 9 course credits in three of the five core Theme Areas.

Typically, distance students view class sessions over the internet that have been recorded with the on-campus students although some sessions may be pre-recorded. Students in both class sections accomplish the same assignments and exams. Online students may, at their option, participate in most classes live over the internet. Work sessions and/or office hours are typically offered at times convenient for online students.

 

Course Descriptions

Titles and prerequisites for courses in the program as well as alternative more advanced courses if some courses are waived may be found at Data Science and Engineering Graduate Course Groupings. For more detailed course descriptions and sample syllabi see the DSE Program Course Descriptions.

 

Student Eligibility and Admission Criteria

Students desiring to acquire the Graduate Certificate in Data Science and Engineering should apply by completing the Graduate Certificate Application. The entire application packet including transcripts, essay, and a current resume that includes contact information for three references must be received before a formal acceptance will be issued typically. Admissions are rolling. The time limit for completion of the Graduate Certificate is the same as that set by the Graduate School for completion of a master’s degree.

 

Continuation of DSE Certificate to M.S. in Data Science and Engineering

When nearing or upon completion of the DSE Graduate Certificate, students may apply for the MS Data Science and Engineering or another closely related MS degree such as the MSIS or MSSI. They must meet all the master’s requirements for admission. Students may transfer most or all of the courses in which they received a grade of B or higher from the DSE Certificate to the MS degree.

 

Additional Information

For additional information on application and program requirements, see Advising Notes.

 

Data Science and Engineering Graduate Faculty

Ali Abedi

Professor, Electrical and Computer Engineering

Kate Beard-Tisdale

Professor, Spatial Computing

Kathleen P. Bell

Professor, Economics

Sudarshan Chawathe

Associate Professor, Computer Science

Phillip Dickens

Associate Professor, Computer Science

Matthew Dube

Assistant Professor, Computer Information Systems

Richard Eason

Associate Professor, Electrical and Computer Engineering

Max Egenhofer

Professor, Spatial Computing

Keith Evans

Associate Professor, Economics

Sepidah Ghanavati

Assistant Professor, Computer Science

Nicholas Giudice

Professor, Spatial Computing

Ramesh C. Gupta

Professor, Mathematics and Statistics

Pushpa Gupta

Professor, Mathematics and Statistics

Torsten Hahmann

Associate Professor, Spatial Computing

Daniel Hayes

Associate Professor, Forest Resources

David Hiebeler

Professor, Mathematics and Statistics

Raymond Hintz

Professor, Surveying Engineering Technology

Don Hummels

Professor, Electrical and Computer Engineering

Jon Ippolito

Professor, New Media

Shaleen Jain

Professor, Civil and Environmental Engineering

Tora Johnson

Environmental and Biological Sciences, University of Maine at Machias

Nory Jones

Professor, Maine Business School

Andre Khalil

Professor, Chemical and Biological Engineering

Benjamin King

Assistant Professor, Bioinformatics

Anne Kelly Knowles

Professor, History

Cyndy Loftin

Associate Professor, Wildlife, Fisheries, and Conservation Biology

Yonggong (Tim) Lu

Associate Professor, Maine Business School

Jonathan Malacarne

Assistant Professor, Economics

Craig Mason

Professor, Education and Applied Quantitative Methods

Brian McGill

Professor, Biological Science

Silvia Nittel

Associate Professor, Spatial Computing

Harlan Onsrud

Professor, Spatial Computing

Nigel Pitt

Professor, Mathematics and Statistics

Parinaz Rahimzadeh-Bajgiran

Assistant Professor, Forest Resources

Nimesha Ranasinghe

Assistant Professor, Spatial Computing

Andrew Reeve

Professor, Earth and Climate Sciences

Penny Rheingans

Professor, Computer Science

Judith Rosenbaum

Associate Professor, Communication and Journalism

Mike Scott

Lecturer, New Media

Bruce Segee

Professor, Electrical and Computer Engineering

Salimeh Yasaei Sekeh

Assistant Professor, Computer Science

Ali Shirazi

Assistant Professor, Civil and Environmental Engineering

Andrew Thomas

Professor, School of Marine Sciences

Roy Turner

Associate Professor, Computer Science

Vince Weaver

Associate Professor, Electrical and Computer Engineering

J. Michael Weber

Professor, Maine Business School

Zheng (David) Wei

Assistant Professor, Mathematics and Statistics

Aaron Weiskittel

Professor, School of Forest Resources

Thomas Wiesen

Assistant Professor, Economics

Manuel Woersdoerfer

Assistant Professor, Maine Business School

Terry S. Yoo

Associate Professor, Computer Science

Yifeng Zhu

Professor, Electrical and Computer Engineering