PROGRAM BACKGROUND

Title of program

Human Factors Engineering Option (MS, PhD) 

Joint program

Department of Psychological Sciences 

Year human factors/ergonomics program was established

1956 

Accredited by HFES?

No

Contact person for more information, including applications

Patrick Brunese, Assistant Head
School of Industrial Engineering
315 N. Grant St.
West Lafayette, IN 47907-2023
765-494-6256
iego@purdue.edu
http://www.engineering.purdue.edu/IE
 

Catalog (free)

https://engineering.purdue.edu/IE/academics/graduate/future/courses

Academic calendar

Semester

Human factors/ergonomics graduate degrees offered

Traditional Master’s (with Thesis)

Non-Thesis Master’s,

Residential non-thesis Master’s

Online Master’s

Professional Master’s

PhD

Goals, objectives, and emphasis of the program

Physiological, psychological, and sociological aspects of the design of tasks, equipment, systems, and the work environment. Study of human-machine computer information and control systems. Instrumentation and analytic methods for the design and execution of human factors studies. Job design, training, safety engineering, and cognitive engineering.

Number of degrees granted during last 3 years

MS 11, PhD 17 

Can students attend part-time?

Yes

Are required courses offered through distance learning?

Yes. Our online program features the same courses and the same professors as our residential courses.

Does the university have an HFES student chapter?

Yes

APPLICATION PROCESS

Application deadlines

December 15 (fall), September 1 (spring) 

Application fee

$60, domestic applicants
$75, international applicants

ADMISSION REQUIREMENTS

Minimum requirements

Highly recommended GPA of:

• 3.2/4.0 or better during undergraduate studies (MS programs)
• 3.4/4.0 or better during their previous graduate work (PhD program);

• GRE minimum scores:

• Verbal: 151
• Qualitative: 155
• Analytical: 3.5

• TOEFL: Internet-Based Test (IBT) minimum scores:

• Overall: 88
• Reading: 20
• Listening: 20
• Speaking: 20
• Writing: 20

• IELTS (Academic Module): minimum scores:

• Overall: 7.5
• Reading: 6.5
• Listening: 6.0
• Speaking: 6.0
• Writing: 6.0

Mathematics through multivariate calculus, differential equations, and linear algebra; calculus-based probability and applied statistics; and proficiency in computer programming. Preference given to students with undergraduate degrees in engineering, science, and psychology.

Importance of other criteria as admission factors

Research: high

Work experience: medium 

Letters: high 

Interview: low

Tuition and fees

In-state: $5,558/semester
Out-of-state: $14,959/semester
International: $15,114/semester

ADMISSIONS

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

412 (MS and PhD, all areas of Industrial Engineering) 

Number of students accepted into the program last year

80

Number of students entering the program last year

11 in HF

Anticipated number of openings per year for the next two years

5–8 in HF

FINANCIAL ASSISTANCE

Percentage of students in program receiving financial assistance

100

Amount received per year

$12,000/$16,000

Types of assistance available

Fellowships, TA, RA, - all tuition exempt

When should students apply for financial assistance?

With application

DEGREE REQUIREMENTS

MS (thesis), MS (nonthesis option), and PhD

Number of units required

MS (thesis): 21 units

MS (nonthesis option): 30 units

PhD: 18–24 units beyond MS

Exams required

MS (thesis): oral defense of thesis

MS (nonthesis option): none

PhD: preliminary defense of proposal and defense of thesis required

Language requirements

None

Research required

MS (thesis): yes

MS (nonthesis option): no

PhD: yes

Practical experience required

None

Typical number of years required to obtain degree

MS (thesis): 2 years

MS (nonthesis option): ~1.5 years 

PhD: 3–5 years

Is there a non-thesis option?

Yes

CURRICULUM

Required courses (units)

Design of Experiments (3)*, Human Factors in Engineering (3)*, Research Seminar in Human Factors (3)

* Course available by distance learning through Purdue Engineering Professional Education

Electives (units)

Job Design (3), Safety Engineering (3)*, Cognitive Engineering of Interactive Software (3), Human Aspects of Computing (3), Applied Ergonomics (3)*, Decision Theory in Engineering (3)*, Knowledge-Based Systems (3), Systems Simulation (3)*, Simulation Design and Analysis (3), Applied Regression Analysis (3), Sampling and Survey Techniques (3), Applied Multivariate Analysis (3)*, Psychology of Industrial Training (3), Occupational Analysis (3)

* Course available by distance learning through Purdue Engineering Professional Education

Number of courses outside department that are required

0

Number of courses outside department that are recommended

2

Average or typical class size in a required course

10–30

RESEARCH/TEACHING OPPORTUNITIES

Research and support facilities available to students in the program: 

Research is conducted in both field settings and laboratories. Three laboratory facilities are available for the development of software for experimentations and for the development of experimental apparatus. Six laboratories exist for conducting experimentations, one of which is climatically controlled. The laboratories are networked, linked to the Internet and Internet2, and equipped with appropriate computing systems and a comprehensive set of cognitive tests and measures.

Teaching opportunities available to students in the program:
Teaching assistantships are available in a variety of undergraduate and graduate courses that match the student's background and interests. Research assistantships are available as University Fellowships and opportunities to work on a variety of externally funded projects.

Current research activities and projects being carried out by program faculty and/or students:
Studies emphasize the cognitive and social aspects of designing and operating advanced technologies. These include designing human-centered technologies. Other currently active areas include cognitive task analysis, usability testing, design for special populations, digital human modeling, engineering of socio-technical systems, modeling human performance of multiple tasks, aging, healthcare, risk communications, design of alerting and warning systems, patient safety, human robot interaction, and information visualization.

STUDENT STATISTICS

Current number of active students in program, by gender

170 men, 80 women

Current number of first-year students
in program

6

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

MS: GRE 410 v, 750 q, 4.2 a, GPA 3.4

PhD: GRE 670 v, 800 q, 4.0 a, GPA 3.4

FACULTY

Barrett S. Caldwell, PhD 1990, UC Davis; information technology 

Brad Duerstock, PhD 1999, Purdue U.; Assistive technology, rehabilitation engineering

Vincent Duffy, PhD 1996, Purdue U.; digital human modeling 

Joaquín Goñi Cortes, PhD 2008, Navarra, Spain; cognitive modeling, brain connectomics

Zachary Hass, PhD. 2017, Purdue U.; health outcomes, program evaluation for older adult healthcare 

David Johnson, PhD 2013, Pardee RAND Graduate School; decision making, climate adaptation, risk communication, sustainable agriculture

Mark R. Lehto, PhD 1985, U. Michigan; safety engineering

Brandon Pitts, PhD 2016 U. Michigan; Cognitive ergonomics, adaptive technology, aging.