Apr 16, 2024  
2020-2021 Academic Catalog 
2020-2021 Academic Catalog [ARCHIVED CATALOG]

Division of Graduate Studies

The Division of Graduate Studies coordinates and manages all aspects of the University’s graduate programs from admissions decisions to final thesis approval. The Division collaborates and coordinates with academic departments to identify, develop, and implement degree program offerings, new program tracks and courses.

Graduate Programs

The Division of Graduate Studies crosses all disciplinary boundaries to support the quality, consistency, development, and delivery of master’s-level degree programs designed to enlarge upon the foundational skills found in preparatory bachelor’s programs and advance study into cutting-edge research and development fields. 

Florida Poly offers two master’s degree each with multiple program tracks with either thesis or project options for rounding out the plan of study.

The Master of Science in Computer Science includes in-depth study in two broad program areas:

  • Computer Science
  • Data Science

The Master of Science in Engineering includes program tracks in the following areas:

  • Electrical Engineering
  • Computer Engineering
  • Mechanical Engineering
  • Engineering Management
  • Robotics

Admissions Requirements

Admission decisions are based on consideration of the applicant’s academic records, letter of interest, resume and letters of recommendation. The following are the admissions requirements:

  • A bachelor degree in Engineering or a closely related discipline from a regionally accredited university
  • A minimum GPA of 2.7 in the last 60-semester credits attempted
  • Graduate Record Exam (GRE) is required for applicants with GPA less than 3.25. The GRE may be waived by the Graduate Student Advisor for applicants with a GPA of 3.25 or higher
  • A letter of interest
  • Two letters of recommendation.

Special Note: The following tracks have been discontinued effective with this catalog: Robotics, Electronic, Communication, and Control Systems, Big Data Analytics, or Logistics Analytics. Students admitted to the Graduate program prior to August 21, 2019 and who declared their intent to pursue one of these tracks are permitted to do so but should anticipate some course substitutions.

Graduation Requirements

  • Completion of 30 credits of approved graduate courses with a GPA of 3.0 or better.
  • Meeting any deficiencies identified by the Graduate Student Advisor.
  • Compliance with all other university graduation requirements.

Program Outcomes

The following are program outcomes for the Master of Science in Engineering.

Upon completion of the Master of Science in Engineering Degree, students are expected to know and be able to do the following by the time of graduation:

  1. an ability to acquire and apply knowledge using appropriate, discipline-based learning strategies drawn from relevant research
  2. an ability to develop methodology of the proposed body of research that produces solutions and further inquiry;
  3. an ability to identify, formulate, and solve engineering problems of single or multidisciplinary nature by applying principles of engineering, science, mathematics, and analytics; and
  4. an ability to develop and conduct appropriate experimentation with a systematic approach, analyze and interpret data, and use foundations of engineering to draw conclusions.


The following are program outcomes for the Master of Science in Computer Science.

  1. Demonstrate mastery in analyzing complex problems and applying knowledge of computer and/or data science to formulate solutions. 
  2. Communicate computer and/or data science information clearly and effectively through presentations and technical writings to both expert and non-expert audiences. 
  3. Demonstrate critical evaluation of recent research literature. 
  4. Identify a novel relevant research problem in a chosen computer and/or data science research field, perform the literature survey for the problem, create a plan to solve the problem, carry on the plan, and defend the research.
  5. Understand the appropriate practices in the different fields of computer science and their ethical implications.

Degree Programs