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Curriculum
The UMES Master’s in Data Science and Analytics Engineering online program provides three options for completion:
Thesis option (30 credits): Students will take three core courses (9 credits), a minimum of five elective (15 credits) graduate-level courses, and six credits of thesis. The thesis must be supervised by a faculty member as a thesis advisor. The initial thesis proposal must be defended with an oral presentation and approved by the student’s thesis committee (three members, including the advisor). The thesis must be submitted to the department in a bound form after the oral defense, which will occur after completing the thesis. Students are required to submit at least one conference paper from their thesis work before the defense.
Project option (33 credits): Students must take three core courses (9 credits), a minimum of seven engineering elective (21 credits) graduate-level courses, and a 3-credit hour research project that must be approved by the project advisor. A copy of the resulting scholarly paper (if any) must be submitted to the department. Students will need to perform a scholarly activity as part of their project work.
Coursework-only option (36 credits): Students will be required to take three core courses (9 credits) and a minimum of nine elective (27 credits) graduate-level courses.
The courses available in the program are:
Core Courses
DSEN 600 Statistical Inference with Business Applications (3 credits)
DSEN 610 Data Analysis (3 credits)
DSEN 615 Applied Statistics for Analytics (3 credits)
Electives
DSEN 620 Cyber Analytics and Intelligence (3 credits)
DSEN 625 Spatial Technology and Data Analytics (3 credits)
DSEN 630 Financial Engineering, Management, and Modeling (3 credits)
