Advising & Curriculum Overview
Mentoring and advising are an essential part of the program. Students meet with faculty and the academic program director to ensure that educational goals and career learning and development goals are met. To learn more about the program, prospective students should contact the program director, Professor Jamie Trevitt via email: firstname.lastname@example.org.
- A 12-credit, four-course curriculum emphasizes statistical theory and the computer programming skills that are required to manage and analyze health data sets.
- Plan of study includes statistics, data management, and data analytics
- The program focuses on health care data analysis and skills in a practical setting, with an emphasis on effective problem-solving, time management, and critical thinking skills so that students can communicate findings with a wide variety of audiences.
The program features 100% online instruction wherein all courses are held online. Instruction provided by University of Maryland faculty and professionals in the field. Courses are scheduled for weekday evenings (e.g., after 5:30 p.m.).
- Using advanced audio and video technology, UMD’s online learning environment delivers dynamic and interactive content.
- Featuring convenience and flexibility, online instruction permits asynchronous or synchronous participation.
- Students attend in real time via the use of webcams and headsets with microphones. Through synchronous participation, students see slides, see and hear instructors speaking, and also ask questions.
- Lectures are video archived. Students who are unable to attend in real time can review the session through asynchronous participation.
Upon successful completion, graduates will have mastered the following competencies:
- Understand how to apply statistics and probability techniques using the methods most commonly used to analyze health data.
- Perform the data management operations necessary to prepare health data for analysis using statistical programming software.
- Analyze health data (including national surveys) using relevant statistical analysis methods and software.