Modeling and Simulation PhD

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College : Graduate Studies Degree :
Department : Option : Dissertation
Program Websites : http://www.ist.ucf.edu/grad/index.html

PROGRAM DESCRIPTION

The Modeling and Simulation PhD is an interdisciplinary degree primarily intended for students with an academic or work background in mathematics, sciences, engineering, or computer science who wish to pursue a career in academia, government, defense, entertainment, technology, service or manufacturing.

CURRICULUM

The Modeling and Simulation PhD requires a minimum of 72 credit hours of coursework beyond the bachelor's degree, including a minimum of 15 dissertation hours. 

The M&S PhD program requires 15 credit hours of 5 required core courses. These core courses will provide an interdisciplinary framework for all students. 

The remaining 42 credit hours may consist of additional unrestricted elective courses and research hours. At least 27 hours of the total program must consist of formal coursework, exclusive of independent study.

Total Credit Hours Required:
72 Credit Hours Minimum beyond the Bachelor's Degree
42 Credit Hours Minimum beyond the Master's Degree

Students may fulfill the restricted elective requirements through the courses chosen in the restricted core. Such students will meet the total credit hour requirements with additional unrestricted elective courses.

Required Courses—15 Credit Hours

Core—15 Credit Hours

  • IDS 6147 Perspectives on Modeling and Simulation (3 credit hours)
  • DIG 5876 Quantitative Aspects of Modeling and Simulation (3 credit hours) or an advanced higher level quantitative course as approved by the Graduate Program Director
  • IDS 6148 Human Systems Integration for Modeling and Simulation (3 credit hours) or EIN 6258 Human Computer Interaction (3 credit hours) or EXP 6541 Advanced Human-Cmputer Interaction (3 credit hours)
  • IDS 6916 Simulation Research Methods and Practicum (3 credit hours)
  • An advanced research methods course (at least 3 credit hours). The purpose of the advanced research methods course is to provide background and analysis of the interpretive act in all educational research and to prepare students to perform independent research for their dissertations. Topics covered in these types of courses typically include research questions/hypotheses formulation, critical analysis of journal articles when performing a survey of the open literature, data collection and sampling methods, experimental and quasi-experimental designs, statistical methods, quantitative and qualitative data analysis and research report writing. Eligible advanced research methods courses for the M&S PhD program are:
    • DIG 6825 Digital Media Research Methods (3 credit hours)
    • ESI 6247 Experimental Design and Taguchi Methods (3 credit hours)
    • ESI 6891 IEMS Research Methods (3 credit hours)
    • PHI 5340 Research Methods in the Cognitive Sciences (3 credit hours)
    • PSY 6216C Research Methodology (4 credit hours)
    • STA 5205 Experimental Design (3 credit hours)
    • A graduate-level advanced research methods course approved by a M&S Program
      Director 

Unrestricted Electives—42 Credit Hours

All M&S PhD degree program students must take at least 42 credit hours of unrestrictive elective courses that support the student’s area of graduate study.

A student must carefully select a set of courses in order to design an appropriate plan of coursework. The purpose of the courses is to ensure that students have depth in their research area as well as have breadth in the interdisciplinary area of modeling and simulation. The set of courses should also support a student’s area of graduate study and to meet the specific educational needs, goals and objectives of that student.

Unrestricted electives must consist of at least 12 credit hours of formal courses, excluding independent study. The remaining credits may consist of additional coursework, directed research, independent study, and additional dissertation as advised appropriately by faculty adviser and/or program director.

Modeling and Simulation PhD Elective Courses

In addition to successfully completing the core courses for the M&S PhD program, students are required to carefully select electives with the guidance of a Program Director or faculty adviser. Elective choices should be made with the intent to strengthen a research interest and/or area of focus in order to meet the individual student’s educational goals and objectives.

Listed below are suggested courses in various areas of focus or specialization. These course groupings are mere guides, are not exhaustive and are only meant to assist with advising and course selection in order to meet the individual student’s educational goals and objectives. They are not intended to restrict elective choices among focus areas as we strongly encourage Modeling and Simulation students to maintain an interdisciplinary approach to their graduate studies.

If a student identifies another UCF course which may be of value to his/her M&S research area, but is not already identified in a list below, that student may request approval from the Graduate Program Director for the course to be used as an elective in the Graduate Plan of Study. All such requests must be made in advance of enrolling in the course.

Those electives categorized as “General” and “Fundamentals of Modeling and Simulation” would be appropriate for all students regardless of interest area. The remaining categories are grouped by area of interest.

General

  • ESI 6247 Experimental Design and Taguchi Methods (3 credit hours)
  • ESI 6891 IEMS Research Methods (3 credit hours)
  • IDS 5907 Independent Study (variable)
  • IDS 5917 Directed Research (variable)
  • IDS 6908 Independent Study (variable)
  • IDS 6918 Directed Research (variable)
  • IDS 6946 Internship (variable)
  • IDS 7919 Doctoral Research (variable)
  • PHI 5340 Research Methods in Cognitive Sciences (3 credit hours)
  • PSY 6216C Research Methodology (4 credit hours)
  • STA 5205 Experimental Design (3 credit hours)

Fundamentals of Modeling and Simulation

  • DIG 5876 Quantitative Aspects of Modeling and Simulation (3 credit hours)
  • ESI 5219 Engineering Statistics (3 credit hours)
  • ESI 6217 Statistical Aspects of Digital Simulation (3 credit hours)
  • ESI 6247 Experimental Design and Taguchi Methods (3 credit hours)
  • ESI 6532 Object-Oriented Simulation (3 credit hours)
  • IDC 6700 Interdisciplinary Approach to Data Visualization (3 credit hours)
  • IDS 6146 Modeling and Simulation Systems (3 credit hours)
  • IDS 6147 Perspectives on Modeling and Simulation (3 credit hours)
  • IDS 6149 Modeling and Simulation for Test and Evaluation (3 credit hours)
  • IDS 6950 Modeling and Simulation Capstone Report Planning (1 credit hour)
  • IDS 6XXX Simulation Techniques (3 credit hours)

Behavioral Cybersecurity

  • CAP 6133 Advanced Topics in Computer Security and Computer Forensics (3 credit hours)
  • CAP 6135 Malware and Software Vulnerability Analysis (3 credit hours)
  • CDA 6530 Performance Models of Computers and Networks (3 credit hours)
  • CJE 6688 Cyber Crime and Criminal Justice (3 credit hours)
  • CNT 5008 Computer Communication Networks Architecture (3 credit hours)
  • CNT 5410L Cyber Operations Lab (3 credit hours)
  • CNT 6519 Wireless Security and Forensics (3 credit hours)
  • COT 5405 Design and Analysis of Algorithms (3 credit hours)
  • DIG 5876 Quantitative Aspects of Modeling and Simulation (3 credit hours)
  • EEL 6785 Computer Network Design (3 credit hours)
  • EEL 6883 Software Engineering II (3 credit hours)
  • ESI 5531 Discrete Systems Simulation (3 credit hours)
  • EXP 5256 Human Factors I (3 credit hours)
  • EXP 6506 Human Cognition and Learning (3 credit hours)
  • IDC 5602 Cybersecurity: A Multidisciplinary Approach (3 credit hours)
  • IDC 6600 Emerging Cyber Issues (1 credit hour)
  • IDC 6601 Behavioral Aspects of Cybersecurity (3 credit hours)
  • IDS 6916 Simulation Research Methods and Practicum (3 credit hours)
  • INR 6365 Seminar on Intelligence (3 credit hours)
  • INR 6366 The Intelligence Community (3 credit hours)
  • PHI 6938 ST: Digital Ethics (3 credit hours)
  • STA 5703 Data Mining Methodology I (3 credit hours)
  • STA 5825 Stochastic Processes and Applied Probability Theory (3 credit hours)

Human Systems

  • CAP 6515 Algorithms in Computational Biology (3 credit hours)
  • CAP 6671 Intelligent Systems: Robots, Agents, and Humans (3 credit hours)
  • CAP 6676 Knowledge Representation (3 credit hours)
  • DIG 6432 Transmedia Story Creation (3 credit hours)
  • DIG 6812 Digital Interaction for Informal Learning (3 credit hours)
  • EIN 5248C Ergonomics (3 credit hours)
  • EIN 5317 Training System Design (3 credit hours)
  • EIN 6215 System Safety Engineering and Management (3 credit hours)
  • EIN 6258 Human Computer Interaction (3 credit hours)
  • EIN 6649C Intelligent Tutoring Training System Design (3 credit hours)
  • EME 6458 Virtual Teaching and the Digital Educator (3 credit hours)
  • EME 6507 Multimedia for Education and Training (3 credit hours)
  • EME 6601 Instructional Simulation Design for Training and Education (3 credit hours)
  • EME 6614 Instructional Game Design for Training and Education (3 credit hours)
  • EME 6646 Learning, Instructional Design, and Cognitive Neuroscience (3 credit hours)
  • EXP 5208 Sensation and Perception (3 credit hours)
  • EXP 5256 Human Factors I (3 credit hours)
  • EXP 6255 Human Performance (3 credit hours)
  • EXP 6257 Human Factors II (3 credit hours)
  • EXP 6258 Human Factors III (3 credit hours)
  • EXP 6506 Human Cognition and Learning (3 credit hours)
  • EXP 6541 Advanced Human Computer Interaction (3 credit hours)
  • IDS 6148 Human Systems Integration for Modeling and Simulation (3 credit hours)
  • IDS 6149 Modeling and Simulation for Test and Evaluation (3 credit hours)
  • PHI 5225 Philosophy of Language (3 credit hours)
  • PHI 5325 Topics in Philosophy of Mind (3 credit hours)
  • PHI 5327 Topics in Cognitive Sciences (3 credit hours)
  • PHI 5329 Philosophy of Neuroscience (3 credit hours)
  • PSB 5005 Physiological Psychology (3 credit hours)
  • TTE 6270 Intelligent Transportation Systems (3 credit hours) 

Computer Visualization

  • CAP 5725 Computer Graphics I (3 credit hours)
  • CAP 6411 Computer Vision Systems (3 credit hours)
  • CAP 6412 Advanced Computer Vision (3 credit hours)
  • CAP 6676 Knowledge Representation (3 credit hours)
  • CDA 5106 Advanced Computer Architecture (3 credit hours)
  • COT 5405 Design and Analysis of Algorithms (3 credit hours)
  • DIG 6605 Physical Computing (3 credit hours)
  • DIG 6647 Science and Technology of Dynamic Media (3 credit hours)
  • EIN 6258 Human Computer Interaction (3 credit hours)
  • EEL 5173 Linear Systems Theory (3 credit hours)
  • EEL 5771C Engineering Applications of Computer Graphics (3 credit hours)
  • EEL 5820 Image Processing (3 credit hours)
  • EEL 5825 Pattern Recognition (3 credit hours)
  • EEL 5874 Expert Systems and Knowledge Engineering (3 credit hours)
  • EEL 6823 Image Processing II (3 credit hours)
  • EEL 6843 Machine Perception (3 credit hours)
  • ESI 6247 Experimental Design and Taguchi Methods (3 credit hours)
  • IDC 6700 Interdisciplinary Approach to Data Visualization (3 credit hours)
  • MAP 5117 Mathematical Modeling (3 credit hours)
  • MAP 6118 Introduction to Nonlinear Dynamics (3 credit hours)
  • MAT 5712 Scientific Computing (3 credit hours)

Quantitative Methods for Simulation, Modeling and Analysis

  • CAP 5512 Evolutionary Computation (3 credit hours)
  • CAP 6515 Algorithms in Computational Biology (3 credit hours)
  • CDA 6530 Performance Models of Computers and Networks (3 credit hours)
  • COT 5405 Design and Analysis of Algorithms (3 credit hours)
  • DIG 5876 Quantitative Aspects of Modeling and Simulation (3 credit hours)
  • EEL 5173 Linear Systems Theory (3 credit hours)
  • EEL 5892 Continuous System Simulation II (3 credit hours)
  • EEL 6878 Modeling and Artificial Intelligence (3 credit hours)
  • EIN 6528 Simulation Based Life Cycle Engineering (3 credit hours)
  • ESI 5306 Operations Research (3 credit hours)
  • ESI 5531 Discrete Systems Simulation (3 credit hours)
  • ESI 6217 Statistical Aspects of Digital Simulation (3 credit hours)
  • ESI 6247 Experimental Design and Taguchi Methods (3 credit hours)
  • IDC 6700 Interdisciplinary Approach to Data Visualization (3 credit hours)
  • MAP 5117 Mathematical Modeling (3 credit hours)
  • MAP 6111 Mathematical Statistics (3 credit hours)
  • MAP 6118 Introduction to Nonlinear Dynamics (3 credit hours)
  • MAP 6207 Optimization Theory (3 credit hours)
  • MAP 6385 Applied Numerical Mathematics (3 credit hours)
  • MAP 6407 Applied Mathematics I (3 credit hours)
  • MAP 6408 Applied Mathematics II (3 credit hours)
  • MAP 6445 Approximation Techniques (3 credit hours)
  • MAT 5712 Scientific Computing (3 credit hours)
  • STA 5703 Data Mining Methodology I (3 credit hours)
  • STA 5825 Stochastic Processes and Applied Probability Theory (3 credit hours)
  • STA 6236 Regression Analysis (3 credit hours)
  • STA 6246 Linear Models (3 credit hours)
  • STA 6326 Theoretical Statistics I (3 credit hours)
  • STA 6327 Theoretical Statistics II (3 credit hours)
  • STA 6329 Statistical Applications of Matrix Algebra (3 credit hours)
  • STA 6704 Data Mining Methodology II (3 credit hours)
  • STA 6714 Data Preparation (3 credit hours)

Simulation in Healthcare

  • CAP 6515 Algorithms in Computational Biology (3 credit hours)
  • CAP 6671 Intelligent Systems: Robots, Agents, and Humans (3 credit hours)
  • CAP 6676 Knowledge Representation (3 credit hours)
  • DIG 6647 Science and Technology of Dynamic Media (3 credit hours)
  • DIG 6812 Digital Interaction for Informal Learning (3 credit hours)
  • EEL 5820 Image Processing (3 credit hours)
  • EEL 6823 Image Processing II (3 credit hours)
  • EIN 6645 Real-Time Simulation Agents (3 credit hours)
  • ESI 5531 Discrete Systems Simulation (3 credit hours)
  • HUM 5802 Applied Contemporary Humanities (3 credit hours)
  • NGR 6717 Introduction to Healthcare Simulation (3 credit hours)
  • NGR 6771L Healthcare Simulation Practicum (3 credit hours)
  • NGR 6794 Organizational Leadership and Operations in Healthcare Simulation (3 credit hours)
  • NGR 6978 Healthcare Simulation Capstone Project (3 credit hours)
  • PHI 5329 Philosophy of Neuroscience (3 credit hours)
  • PSB 5005 Physiological Psychology (3 credit hours)
  • SPA 6417 Cognitive/Communicative Disorders (3 credit hours)
  • SPA 6451 Theory and Clinical Aspects Cognitive-Comm Disorders in Traumatic Brain Injury (3 credit hours)

Interactive Simulation and Intelligent Systems

  • CAP 5512 Evolutionary Computation (3 credit hours)
  • CAP 5610 Machine Learning (3 credit hours)
  • CAP 5636 Advanced Artificial Intelligence (3 credit hours)
  • CAP 6671 Intelligent Systems: Robots, Agents, and Humans (3 credit hours)
  • CAP 6676 Knowledge Representation (3 credit hours)
  • DIG 6812 Digital Interaction for Informal Learning (3 credit hours)
  • EEL 5771C Engineering Applications of Computer Graphics (3 credit hours)
  • EEL 5874 Expert Systems and Knowledge Engineering (3 credit hours)
  • EEL 6878 Modeling and Artificial Intelligence (3 credit hours)
  • EIN 5251 Usability Engineering (3 credit hours)
  • EIN 5255C Interactive Simulation (3 credit hours)
  • EIN 6258 Human Computer Interaction (3 credit hours)
  • EIN 6645 Real-Time Simulation Agents (3 credit hours)
  • EIN 6647 Intelligent Simulation (3 credit hours)
  • EIN 6649C Intelligent Tutoring Training System Design (3 credit hours)
  • EME 6613 Instructional System Design (3 credit hours)
  • ESI 6247 Experimental Design and Taguchi Methods (3 credit hours)
  • IDS 6149 Modeling and Simulation for Test and Evaluation (3 credit hours)

Simulation Infrastructure

  • CAP 6671 Intelligent Systems: Robots, Agents, and Humans (3 credit hours)
  • CAP 6676 Knowledge Representation (3 credit hours)
  • CDA 5106 Advanced Computer Architecture (3 credit hours)
  • CDA 6107 Parallel Computer Architecture (3 credit hours)
  • CDA 6530 Performance Models of Computers and Networks (3 credit hours)
  • CNT 5008 Computer Communication Networks Architecture (3 credit hours)
  • COT 5405 Design and Analysis of Algorithms (3 credit hours)
  • DIG 6605 Physical Computing (3 credit hours)
  • EEL 5173 Linear Systems Theory (3 credit hours)
  • EEL 5771C Engineering Applications of Computer Graphics (3 credit hours)
  • EEL 6762 Performance Analysis of Computer and Communication Systems (3 credit hours)
  • EEL 6785 Computer Network Design (3 credit hours)
  • EEL 6878 Modeling and Artificial Intelligence (3 credit hours)
  • EEL 6883 Software Engineering II (3 credit hours)
  • EEL 6885 Software Engineering Quality Assurance Methods (3 credit hours)
  • ESI 6551 Systems Architecting (3 credit hours)
  • MAT 5712 Scientific Computing (3 credit hours)

Simulation Management

  • EIN 5108 The Environment of Technical Organizations (3 credit hours) 
  • EIN 5117 Management Information Systems I (3 credit hours)
  • EIN 5140 Project Engineering (3 credit hours)
  • EIN 5356 Cost Engineering (3 credit hours)
  • EIN 6182 Engineering Management (3 credit hours)
  • EIN 6215 System Safety Engineering and Management (3 credit hours)
  • EIN 6339 Operations Engineering (3 credit hours)
  • EIN 6357 Advanced Engineering Economic Analysis (3 credit hours)
  • EIN 6528 Simulation Based Life Cycle Engineering (3 credit hours)
  • ESI 5227 Total Quality Improvement (3 credit hours)
  • ESI 6224 Quality Management (3 credit hours) 
  • ESI 6358 Decision Analysis (3 credit hours)
  • ESI 6551 Systems Architecting (3 credit hours)
  • IDC 6700 Interdisciplinary Approach to Data Visualization (3 credit hours)
  • IDS 6149 Modeling and Simulation for Test and Evaluation (3 credit hours)
  • ISM 6217 Advanced Database Administration (3 credit hours)
  • ISM 7027 Systems Support of Organizational Decision Making (3 credit hours)

Waived Credits

The doctoral program will allow up to 30 credit hours to be waived from an earned master’s degree.

Dissertation—15 Credit Hours Minimum

  • XXX 7980 Dissertation Research (15 credit hours minimum)

Qualifying Examination

The M&S Qualifying Examination (QE) consists of a written paper and an oral presentation to an Evaluation Committee.  Detailed information regarding the M&S QE is provided at this link: http://www.ist.ucf.edu/grad/Forms/phd-milestones.pdf. 

Dissertation Adviser and Dissertation Advisory Committee

Students have the responsibility to select a Dissertation Adviser from a list of faculty authorized to direct dissertations. The student and the Dissertation Adviser, then, must identify and select the other members of the student’s Dissertation Advisory Committee. The Dissertation Advisory Committee consists of a minimum of four members.

All committee members should hold a doctoral or terminal degree and be in fields related to the dissertation topic, and at least three members must be regular Modeling and Simulation graduate faculty (one to serve as chair) from at least two UCF colleges. At least one member of the committee must have served as a committee member on a prior M&S Thesis or Dissertation Advisory Committee. In some cases, with approval from the Program Director, a committee member may serve as co-chair of the committee. The M&S Program Director can assist students with selection of their adviser as well as with committee formation, additions, and deletions. The UCF College of Graduate Studies has the right to review appointments to advisory committees, place a representative on any advisory committee, or appoint a co-adviser. 

Candidacy Examination

The Candidacy Examination evaluates the student’s preparation to perform independent research to undertake the research in the student’s dissertation topic. A student may sit for the Candidacy Examination upon: 

  1. passing the Qualifying Examination; 
  2. completing all conditions placed as a result thereof; and 
  3. completing all but 6 credit hours or less of the courses prescribed in the student’s Graduate Plan of Study.

The Candidacy Examination includes all of the following:

The Dissertation Research Proposal

The research proposal is a written exposition of a academic or scientific topic and specific research question(s)/hypothesis(es) that is/are developed by the student; the research proposal identifies the chosen area(s) of research and offers convincing support of the need for the research investigation being proposed. Specifically, the research proposal includes at least the following components: 

  • Motivation of the research investigation. Background and the motivation for the pursuit of the dissertation topic should be clearly and thoroughly explained including the historical and modern view of the topic and the rationale and need for the proposed research. The specific research questions(s)/hypothesis(es) that is/are being addressed and the research objectives must be described;
  • Literature review on the topic of the dissertation. A good literature review expands upon the reasons behind selecting the research question(s)/hypothesis(es). The review is an extensive summary and synopsis of the area(s) of research, and it provides a critical and in-depth evaluation of previous related research on the topic. It is an abstracting and synthesis of previous research, and the review explains how it integrates into the proposed research investigation. All sides of an argument must be clearly explained, to avoid bias, and areas of agreement and disagreement should be highlighted; and
  • A detailed proposed methodology for conducting the research. This ethodology must be consistent with the requirements of the field. It is customary to include any preliminary modeling and results in this discussion to show the potential of strengths and weaknesses of the methodology. 
An oral defense of the Dissertation Research Proposal

This defense includes a formal, oral presentation of the written Dissertation Research Proposal before the Dissertation Advisory Committee.

A refereed published or accepted for publication manuscript

Students preparing for the Candidacy Examination should have at least one refereed published or accepted for publication manuscript directly related to the dissertation research, and the student must be a significant contributor to the work and the paper. If the refereed manuscript is not published, it should be fully accepted, and not conditionally accepted. This manuscript may be a journal or proceedings publication from a reputable conference.

All members vote on acceptance or rejection of the Dissertation Research Proposal and the Dissertation Proposal must be approved with at most one dissenting member of the advisory committee. A student is normally given one opportunity to pass the oral defense of the Dissertation Research Proposal, but the M&S Program Director, upon the recommendation of the student’s Dissertation Advisory Committee, may approve at most a second attempt. 

Admission to Candidacy

In summary, the following are required for a student to be admitted to candidacy and subsequently enroll in dissertation hours:

  • Completion of all course work, except for dissertation hours; 
  • The Dissertation Advisory Committee is formed, consisting of approved graduate faculty and graduate faculty scholars; 
  • Submission of an approved Graduate Plan of Study;
  • Successful completion of the Candidacy Examination (see Candidacy Examination section above for details).

Dissertation Defense

The Dissertation Defense is a formal, oral examination of the written dissertation before the Dissertation Advisory Committee. All members vote either “Pass” or “Fail” of the written dissertation, and the dissertation and Dissertation Defense must be approved with at most one dissenting member of the advisory committee. A student is normally given one opportunity to pass the oral defense of the dissertation, but the M&S Program Director, upon the recommendation of the student’s Dissertation Advisory Committee, may approve at most a second attempt.

Plan of Study

After admission to the PhD program, students should file a Graduate Plan of Study (GPS) with the Modeling and Simulation Graduate Program Office.

The purpose of the GPS is to design an appropriate program of coursework to support a student’s area of graduate study and to meet the specific educational needs, goals and objectives of that student. The coursework must be selected to form a unified, cohesive plan of study. All graduate credit in a doctoral program must be at 5000 level or higher, and at least one-half of the credit hours used to meet program requirements must be in 6000-level or 7000-level courses.

The GPS should be developed under the supervision of the Dissertation Adviser(s) and members of the Dissertation Advisory Committee, although initially it may be constructed under the supervision of the M&S Graduate Program Office.

Changes in the Graduate Plan of Study can be made (due to course offering deletions, schedule conflicts, etc.) and with the approval of the M&S Graduate Program Office.

Programs of Study for students seeking a doctoral degree should be on file with the College of Graduate Studies by the end of the third major term of enrollment (based on full-time enrollment) and must be on file prior to the change to candidacy status.

Equipment Fee

Full-time students in the Modeling and Simulation PhD program pay a $27 equipment fee each semester that they are enrolled. Part-time students pay a $13.50 equipment fee each semester that they are enrolled.

Independent Learning

The dissertation is a project that constitutes independent learning conducted under the guidance of a Dissertation Advisory Committee. Three must be members of the Modeling and Simulation graduate faculty. All members vote on acceptance or rejection of the Dissertation Research Proposal and the Dissertation Proposal must be approved with at most one dissenting member of the advisory committee. A student is normally given one opportunity to pass the oral defense of the Dissertation Research Proposal, but the M&S Program Director, upon the recommendation of the student’s Dissertation Advisory Committee, may approve at most a second attempt.

Application Requirements

For information on general UCF graduate admissions requirements that apply to all prospective students, please visit the Admissions section of the Graduate Catalog. Applicants must apply online. All requested materials must be submitted by the established deadline.

In addition to the general UCF graduate application requirements, applicants to this program must provide:

  • One official transcript (in a sealed envelope) from each college/university attended
  • Official, competitive score on the GRE taken within the last five years
  • Résumé or Curriculum Vitae
  • Goal statement
    • The goal statement should discuss all relevant professional background and any previous research experience. The statement should explain the motivation behind the pursuit of a Doctoral degree in Modeling and Simulation. Future career goals after the completion of the applicant’s doctoral study should be discussed.
    • Most importantly, the applicant must clearly describe the particular area(s) of research interest. The applicant should identify at least one UCF faculty member who shares a similar research focus and is believed to be best suited to serve as a potential dissertation advisor.
    • The goal statement should between 500 and 1,000 words. 
  • Three letters of recommendation
    • The letters of recommendation should be from faculty members, university administrators and employers. The letters, which must be current to the application, should address the educational and career goals of applicant. The letter writers should also know the applicant well enough to discuss the applicant’s capacity to perform, excel and succeed in a graduate program. Letters for PhD applicants must discuss the applicant’s ability to perform graduate-level research. At least two of the letters should be furnished by college or university professors who are acquainted with the applicant.

Applications are accepted for the fall and spring terms only.

Readmission

Applicants who are reapplying for admission need not resubmit transcripts and GRE scores if the transcripts and scores are previously filed with UCF. However, the following application requirements do need to be current for the new application for readmission:

  • Résumé/Curriculum Vitae
  • Goal Statement
  • Letters of Recommendation
Prerequisites

Students who enter the Modeling and Simulation Program are expected to have an academic and/or work background that has prepared them in mathematics (introductory calculus and probability and statistics) and computer literacy, including proficiency with word processing, spreadsheet, and database programs, and, preferably, familiarity with at least one higher order programming language (e.g., C/C++, Visual Basic, Java, etc.). Students with undergraduate or graduate degrees in Engineering, Computer Science, or Mathematics will generally have this background.

For students with less technical academic preparation, the core course DIG 5876 Quantitative Aspects of Modeling and Simulation, will prepare them for several, but not all, aspects of the program. However, some students may need a number of prerequisite courses in Mathematics, Statistics, and Computer Science in order to pursue one or more areas of study.

Application Deadlines

Modeling and Simulation PhD *Fall Priority Fall Spring Summer
Domestic Applicants Jan 15Jul 15Dec 1

-

International Applicants Jan 15Jan 15Jul 1

-

International Transfer Applicants Jan 15Mar 1Sep 1

-

*Applicants who plan to enroll full time in a degree program and who wish to be considered for university fellowships or assistantships should apply by the Fall Priority date.

FINANCIALS

Graduate students may receive financial assistance through fellowships, assistantships, tuition support, or loans. For more information, see the College of Graduate Studies Funding website, which describes the types of financial assistance available at UCF and provides general guidance in planning your graduate finances. The Financial Information section of the Graduate Catalog is another key resource.

Fellowships

Fellowships are awarded based on academic merit to highly qualified students. They are paid to students through the Office of Student Financial Assistance, based on instructions provided by the College of Graduate Studies. Fellowships are given to support a student’s graduate study and do not have a work obligation. For more information, see UCF Graduate Fellowships, which includes descriptions of university fellowships and what you should do to be considered for a fellowship. 


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