Title of program

Human Factors and Applied Cognition Program (HFAC) (PhD, MA, Certificate)

Year human factors/ergonomics program was established

MA 1972, PhD 1990, Certificate 2006

Accredited by HFES?


Contact person for more information, including applications

Patrick McKnight
George Mason University 
4400 University Drive, MSN 3F5 
Fairfax, VA 22030 


Web site

Academic calendar


Human factors/ergonomics graduate degrees offered

MA, PhD, and Certificate

Goals, objectives, and emphasis of the program

The graduate program in Human Factors and Applied Cognition (HFAC) provides instruction and research training (MA and PhD) for students wishing to pursue careers in the academic, public, and private sectors. Certificate programs in usability and transportation human factors are also offered. Across all areas, a strong emphasis is placed on students developing a good understanding of cognitive theory, acquiring advanced methodological and statistical skills, and learning how to apply these tools to real-world human factors problems. The program emphasizes three primary areas: human factors, applied cognition, and neuroergonomics.

Human factors involves the design of technologies and work environments to be compatible with human capabilities and limitations. Applied cognition involves the study of the characteristics of basic human perception and cognitive processes relevant to human performance at work. The methods used in this research include behavioral performance testing, eye tracking, computational modeling, and neural measures. Neuroergonomics is the study of the human brain in relation to performance at work, transportation, and other everyday settings. The Human Factors and Applied Cognition graduate program is one of the few in the country that provides training in this new area of research. 

Number of degrees granted during last 3 years

PhD 10, MA 31, Certificate 4

Can students attend part-time?

PhD no, MA yes, Certificate yes

Are required courses offered at night? 


Does the university have an HFES student chapter?




Application deadlines

January 1 for PhD, February 1 for MA, and March 15 for Certificate

Application fee

 $60, separate applications required for university and department



Minimum requirements

GPA: PhD 3.0, MA 3.0, Certificate 3.0 

GRE: PhD 1200 v + q, MA 1000 v + q, Certificate 1000 v + q

Other: In keeping with the eclectic nature of the field, candidates with eclectic backgrounds are preferred. We try to evaluate the candidate as a whole to find trade-offs among undergraduate degree, work experience, research experience, and other factors. Some of the skills we value in a candidate include knowledge of human information processing (recommended); experimental design (rec.); statistics (rec.); computer programming (rec.); and/or evidence of an interest in applying cognitive theory to real-world problems (rec.). Special consideration is given to those with engineering or computer science bachelor's degrees.

Importance of other criteria as admission factors

Research: PhD high, MA low, Certificate low

Work experience: medium

Letters: PhD high, MA medium, Certificate medium

Tuition and fees

Residents: $517.25/credit (about 9 credits/semester for full-time students)

Nonresidents: $1,233.25/credit



Number of students applying to the
human factors/ergonomics program last year

PhD 30, MA 48, Certificate 2

Number of students accepted into the program last year

PhD 6, MA 18, Certificate 1

Anticipated number of openings per year for the next two years

PhD 4–7, MA 15–20, Certificate 1–4



Percentage of students in program receiving financial assistance

PhD 100%, MA 75%

Historically, almost all of our PhD students have had tuition coverage and a stipend for every academic year of the program. For our MA students, tuition coverage and stipends are not guaranteed, but most students are able to find some support from grants or internships after they have entered the program. 

Amount received per year

PhD $14,000–$25,000 + tuition; MA $9,000–$14,000 with partial support for tuition

Types of assistance available

Fellowships, teaching assistantships, research assistantships, scholarships, presidential scholar award (PhD only), and government and industry internships 

When should students apply for financial assistance?

With application



Graduate degrees offered

MA, PhD, and Certificate

Number of units required

MA: 72

PhD: 32

Certificate: 15

Exams required

MA: comprehensive exam to advance to candidacy and oral defense of dissertation required

PhD: none

Certificate: none

Language requirements


Research required

MA: yes

PhD: yes

Certificate: no

Practical experience required

MA: yes

PhD: yes

Certificate: encouraged

Typical number of years required to obtain degree

MA: 2

PhD: 4–6

Certificate: 1

Is there a non-thesis option?




Required courses (units)




Number of courses outside department that are required


Number of courses outside department that are recommended

Up to 9 hours of elective courses, from within or outside the department, may be taken with adviser's approval

Based on current graduate students in the program, the mean score on admission tests and undergraduate GPA by degree being sought are

PhD: GRE 620/161 v, 720/156 q, GPA 3.51

MA: GRE 560/157 v, 680/152 q, GPA 3.4

Average or typical class size in a required courseAverage or typical class size in a required course




Research and support facilities available to students in the program: 

The Human Factors and Applied Cognition Department research facilities include 6,000 sq. ft. of dedicated laboratory space housing computer equipment, advanced simulators, neuroergonomic recording systems, and extensive software for data collection and analysis. Facilities include office space for faculty, post-doctoral researchers, and students, as well as research labs, data collection rooms, a seminar room, and a sound attenuated room for audiometric assessment. Several types of specialized research equipment are available, including a high fidelity motion-based driving simulator, low-fidelity desktop driving simulators, humanoid robot head, an fMRI, eye trackers, 2 oculus rifts, EEG, eye trackers, ECG, EMG, TMS, tDCS, fNIRS, portable fNIRS, EDR, TCD, and Google glasses.

Labs include: 
Applied Performance Research Lab: interruptions, multi-tasking performance, and VE/VR training 

Auditory Research Group: applied auditory cognition, multimodal displays, mental workload, and individual differences in spatial navigation 

Cerebral Hemodynamics Lab: how we utilize and maintain cognitive resources 

Cognitive Aging and Cognitive Training Research Group: cognitive training and brain stimulation 

Human-Automation Interaction Lab: supervisory control, adaptive automation, team performance, and individual differences 

Mason Transportation Institute: driver-vehicle interface, collision warnings, vibrotactile signals for navigation guidance 

MRES Lab: research methodology application 

Neuroergonomics Lab: molecular genetics, brain stimulation, and cognitive training 

Perception and Action Neuroscience Group: recognize, code, and make sense of human movement and actions 

Predicting Cognition Lab: theoretical models of human error 

Social Robotics and Embodied Cognition Lab: human-robot interaction, gaze following, and optimizing design thinking 

Visual Attention and Cognition Lab: the interaction between attention, perception, and working memory on human performance 

Teaching opportunities available to students in the program:
All doctoral students are encouraged to work one or two semesters as a teaching assistant. Courses typically available to HFAC students include undergraduate statistics, memory and cognition, and perception and sensation (lab course). In addition, advanced doctoral students may teach one of these courses as the instructor.



Current number of active students in program, by gender

32 men, 27 women

Current number of first-year students
in program

32 PhD, 26 MA, 1 Certificate



Carryl L. Baldwin, PhD 1997, U. of South Dakota; auditory cognition, auditory and multimodal displays, transportation, mental workload, individual differences in spatial navigation

Deborah Boehm-Davis, PhD 1980, U. of California, Berkeley; interruptions, aviation, medical

Pamela Greenwood, PhD 1977, State U. of New York, Stony Brook; cognitive aging and Alzheimer's disease, genetics of cognitive aging, training, working memory 

Patrick E. McKnight, PhD 1997, U. of Arizona; measurement, data analysis, decision-making, health services research 

Matt Peterson, PhD 1997, U. of Kansas; attention, working memory, task-switching, visual perception, cognitive neuroscience

Tyler Shaw, PhD 2008, U. of Cincinnati; vigilance or sustained performance, stress, automation and team performance, Transcranial Doppler Sonography

Greg Trafton, PhD 1994, Princeton U.; theoretical models to predict and prevent errors, interruptions and resumptions, human-robot interaction

Eva Wiese, PhD 2012, Ludwig-Maximilian U. of Munich; human-robot interaction, embodied cognition in human-computer interaction, gaze following

[Updated November 2014]