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Home Education & Career ResourcesAcademic ProgramsGraduate Programs DirectoryTexas Tech University Department of Industrial Engineering

Texas Tech University Department of Industrial Engineering

Location: Lubbock, Texas
Department: Industrial Engineering

 

Quick links:

  • Program Background
  • Admission Requirements
  • Financial Assistance
  • Curriculum
  • Student Statistics
  • Application Process
  • Admissions
  • Degree Requirements
  • Research/Teaching Opportunities
  • Faculty

Directory of Graduate Programs


PROGRAM BACKGROUND

Title of program

Industrial Engineering with specialization in Ergonomics (MSIE, PhD)

Year human factors/ergonomics program was established

1961

Accredited by HFES?

No

Contact person for more information, including applications

James L. Smith, Texas Tech University, Industrial Engineering Dept., Lubbock, TX 79409-3061; 806/742-3543, james.smith@ttu.edu,
http://www.depts.ttu.edu/ieweb

Catalog (free)

Graduate School, Texas Tech University, Lubbock, TX 79409-1033,
https://catalog.ttu.edu

Academic calendar

Semester

Human factors/ergonomics graduate degrees offered

MSIE and PhD

Goals, objectives, and emphasis of the program

The Texas Tech Industrial Engineering graduate program in human factors and ergonomics is designed to develop qualified and competent practicing engineers, teachers, and researchers. Over the last 50 years the ergonomics program has produced more than 150 MS and 70 PhD graduates who hold leadership positions in educational, research, manufacturing, governmental, and consulting organizations. The program emphasizes occupational ergonomics from both the physical and cognitive perspectives, in conjunction with the Human Factors Program in Experimental Psychology. Areas of emphasis include workplace design, anthropometry, musculoskeletal systems, cumulative trauma, work physiology, biomechanics, environmental hygiene, manual materials handling, occupational safety and health, automation, information processing, decision making, and the development of intelligent interfaces for decision support systems.

Number of degrees granted during last 3 years

MSIE 3, PhD 5

Can students attend part-time?

Yes

Are required courses offered through distance learning?

No

Are required courses offered during summer?

Yes

Does the university have an HFES student chapter?

Yes


APPLICATION PROCESS

Application deadlines

Spring: June 15; Fall: January 15 for full consideration

Application fee

$60


ADMISSION REQUIREMENTS

Minimum requirements

Applications (e.g., transcripts, GRE scores, work history, letters of recommendation, and written personal statements) are evaluated by the graduate faculty to determine the student's potential for completing the graduate degree. No rigid criterion or cut-off points are used in admissions decisions. Foreign students are subject to financial and immigration. Science, mathematics, or engineering undergraduate degree recommended. Leveling courses may be required in math and engineering science for students without engineering undergraduate degrees.

Importance of other criteria as admission factors

Research: high

Work experience: high 

Letters: high 

Interview: medium

Tuition and fees

Resident: $4,478/semester (approximate; see catalog) 

Nonresident: $8,690/semester (approximate; see catalog)


ADMISSIONS

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

8

Number of students accepted into the program last year

5

Number of students entering the program last year

3

Anticipated number of openings per year for the next two years

10


FINANCIAL ASSISTANCE

Percentage of students in program receiving financial assistance

67%

Amount received per year

$27,500

Types of assistance available

TA, RA, scholarship, not tuition exempt but nonresident fees waived

When should students apply for financial assistance?

With application


DEGREE REQUIREMENTS

Graduate degrees offered

MSIE and PhD

Number of units required

MSIE: 30
Nonthesis option: 30 hours 

PhD: 60 

Exams required

MSIE: thesis defense
Nonthesis option: comprehensive exam

PhD: 2 exams

Language requirements

None

Research required

MSIE: yes
Nonthesis option: no

PhD: yes 

Practical experience required

None

Typical number of years required to obtain degree

MSIE: 1.5 years 
Nonthesis option: 1

PhD: 3 years

Is there a non-thesis option?

Yes


CURRICULUM

Required courses (units)

Ergonomics and Design (3), Work Physiology (3), Occupational Biomechanics (3), Safety Engineering (3), Loss Assessment and Control (3), Cognitive Engineering (3), Human Factors in Engineering & Design (3)

Electives (units)

Design of Experiments (3), Decision Theory and Management Science (3), Productivity and Performance Improvement in Organizations (3), Simulation Models for Operations Analysis (3), Total Quality Systems (3), Theoretical Studies in Advanced IE Topics. (3). Human factors electives from Psychology, as appropriate

Number of courses outside department that are required

0

Number of courses outside department that are recommended

0–2 for MS, 5 for PhD

Average or typical class size in a required course

5–25


RESEARCH/TEACHING OPPORTUNITIES

Research and support facilities available to students in the program:

The Industrial Ergonomics Laboratory occupies more than 4,000 square feet in the Industrial Engineering Building. Lab facilities include equipment specialized for research in work physiology (Metabolic Measurement Systems [Cosmed K4b2], physiological monitoring and recording equipment); biomechanics (3D motion analysis system, force platforms, Biodex, portable load cells, lifting machines); ASL desktop and head-mounted eye tracking systems; usability lab; environmental hygiene (environmental monitoring systems); human gait (slip-fall arresting rig); general ergonomics equipment such as anthropometers and dynamometers. Support facilities include a student computer laboratory, metal and woodworking shops, and an electronics shop. University computing facilities include mainframe and additional microcomputer facilities.

Teaching opportunities available to students in the program:
TAs primarily assist faculty with classroom teaching and labs. Opportunities to assume full teaching responsibility are available to PhD students.

Current research activities and projects being carried out by program faculty and/or students:

Physiological modeling of high frequency lifting, Risk and task analysis for future space stations, stochastic resonance for time-to-contact estimation, social networks for construction collaboration, Biomechanical data mining, Conditional value at risk (CVaR) threshold for fault detection, Eye Movements during a Collision Detection Task, Scheduling Options for Hazardous Operations Regarding the Potential for Human Error: A Systems Dynamic Model.


STUDENT STATISTICS

Current number of active students in program, by gender

6 men, 2 women

Current number of first-year students in program

2

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

MSIE GRE 510 v, 680 q, GPA 3.50

PhD GRE 443 v, 760 q, GPA 3.70


FACULTY

Mario Beruvides, PhD 1993, Virginia Polytechnic Institute and State University; macroergonomics, engineering management, productivity 

Simon M. Hsiang, PhD 1992, Texas Tech University; cognitive engineering, biomechanics, virtual reality, modeling and system design, data mining, system identification, human safety and reliability 

Patrick E. Patterson, PhD 1984, Texas A&M University; ergonomics, biomechanics, interaction design, safety 

James L. Smith, PhD 1980, Auburn University; work physiology, biomechanics, ergonomics

[Updated February 2015]

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