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Abstract

Admissions Information

Application Deadlines

Degree Requirements

Facilities

Financial Assistance

Contact

Website

Courses

Keywords

Relationships

Faculty

Dean

Marzullo, Keith,

Associate Dean

Butler, Brian, Full Member

Director

Elmqvist, Niklas, Full Member

Professor

Bertot, John, Full Member

Butler, Brian, Full Member

Druin, Allison J., Full Member

Jaeger, Paul T., Full Member

Marciano, Richard, Full Member

Marzullo, Keith,

Oard, Douglas William, Full Member

Preece, Jennifer J., Full Member

Vanderheiden, Gregg, Full Member

Associate Professor

Elmqvist, Niklas, Full Member

Golbeck, Jennifer, Full Member

Shilton, Katie, Full Member

Subramaniam, Mega M., Full Member

Wang, Ping, Full Member

Assistant Professor

Choe, Eun Kyoung,

Clegg, Tamara, Full Member

Findlater, Leah, Full Member

Frias-Martinez, Vanessa, Full Member

Kacorri, Hernisa, Full Member

Lazar, Amanda, Full Member

St. Jean, Beth, Full Member

Tausczik, Yla, Full Member

Vitak, Jessica, Full Member

Weintrop, David,

Wiggins, Andrea, Full Member

Senior Research Scientist

Plaisant-Schwenn, C., Adjunct Member

Professor of Practice

Weeks, Ann C., Adjunct Member

Affiliate Professor

Bederson, Benjamin B., Full Member

Affiliate Associate Professor

Kirschenbaum, Matthew G., Full Member

Visiting Associate Professor

Kules, Bill, Full Member

Senior Lecturer

Golub, Evan, Full Member

Lecturer

Bonsignore, Elizabeth, Full Member

Dearstyne, Bruce W., Adjunct Member

Gorham-Oscilowski, Ursula, Full Member

Jacobs, Paul, Adjunct Member

Killam, Howard William, Adjunct Member

Kolowitz, Brian, Adjunct Member

Kriesberg, Adam, Adjunct Member

Lawley, Katy Newton, Full Member

Piety, Philip,

Rhoads, Vera, Adjunct Member

Sahasrabudhe, Vikas, Adjunct Member

Summers, Timothy, Full Member

Weaver, Kathy, Full Member

Winter, Susan, Full Member

More HCIM Faculty Information




Human-Computer Interaction (HCIM)   

Program Title and Classification

Human-Computer Interaction

Graduate Degree Program

College: Information Studies

Abstract

In the HCIM program, students learn to design, evaluate, and implement new information technologies that are understandable, usable, and appealing to a wide variety of people. Our students develop a fundamental understanding of the technology design process, tool-building technologies, evaluation techniques, application areas for users, and the social impact of technology on the individual and community. The program prepares students to become human-computer interaction (HCI) leaders in industry and government, or to become successful in doctoral work in a particular specialization of HCI.

 

Our 30-credit program is typically completed in two years by full-time students, while offering flexibility to accommodate part-time and professional students. Our core curriculum grounds students in the fundamentals of HCI perspectives and methodologies, while electives offer in-depth insight into specialized areas of the field. A required internship experience provides a unique opportunity to gain hands-on experience in industry or research environments, and the choice of an individual thesis or a client-based team capstone project allows students to demonstrate the skills they’ve acquired in the form best suited to their career goals.

Admissions Information

General Requirements:

  • Statement of Purpose
  • Transcript(s): Uploading unofficial transcripts is sufficient for the purposes of the application review process. However, if you are offered admission and choose to enroll in the University of Maryland, you will need to provide an official and unopened transcript.
  • TOEFL/IELTS/PTE (international graduate students)

Program-Specific Requirements:

  • Letters of Recommendation (3): Letters of recommendation should come from current/former faculty members, employers, colleagues, and in rare cases personal references. Letters should not come from family members or those unable to speak to your ability to complete a graduate degree.
  • Graduate Record Examination (GRE): Required for international applicants, optional for domestic applicants. GRE Institution Code: 5814. 
  • CV/Resume
  • Supplementary Application
  • Supplementary Application Two

All applicants to the College of Information Studies must meet the minimum requirements set by the University of Maryland Graduate School. 

  • Applicants must have earned a four-year baccalaureate degree from a regionally accredited U.S. institution, or an equivalent degree from a non-U.S. institution.
  • Applicants must have earned a minimum 3.0 average GPA (on a 4.0 scale) in all prior undergraduate course work.
  • Applicants must provide an official copy of a transcript for all their post-secondary work.

Admission to the HCIM program is competitive. Applicants are evaluated for admission to the program based primarily on academic achievement (GPA and prior coursework) and admissions essays. TOEFL score should be 100 or higher. GRE should be in the 40th percentile or higher for Verbal scores and in the 60th percentile or higher for Qualitative scores.

 

For more admissions information or to apply to the program, please visit the Graduate School website.

Application Deadlines

Type of Applicant Fall
Domestic Applicants:
US Citizens and Permanent Residents
15 Feb
International Applicants:
F (student) or J (exchange visitor) visas
A,E,G,H,I and L visas and immigrants.
15 Feb


Other Deadlines: Please visit the program website at http://www.ischool.umd.edu/hcim

Degree Requirements

Master of Science (M.S.)

Total CreditsCore RequirementsSpecialization Options

Thesis option: 30 credits

Non-thesis option: 30 credits

INST 630: Introduction to Programming for the Information Professional (3 credits)

INST 631: Fundamentals of Human-Computer Interaction (3 credits)

INST 632: Human-Computer Interaction Design Methods (3 credits)

INST 717: Internship Practicum in Human-Computer Interactions (3 credits)

Research Methods course (3 credits)

Elective courses (9 credits)

Thesis option: INST 799: Master's Thesis Research (6 credits)

Non-thesis option: INST 775: Capstone Preparation (3 credits); INST 776: Capstone Research (3 credits)

 

The Master of Science in Human Computer Interaction (HCIM) is a unique cross disciplinary degree program that integrates information studies, computer science, education, psychology and engineering to prepare future HCI leaders in industry, government, education and other sectors. Through coursework and research experiences, students in this program will develop skills in the fundamentals of HCI, advanced research methods, usability analysis and testing, social computing strategies and technologies, and technology design.

 

HCIM students devise a plan of study to meet graduation requirements: three core courses, a required research methods course and internship experience, a thesis or capstone project, and three elective courses for a total of 30 credit hours.

 

Core Courses

 

The core courses introduce a broad range of concepts related to HCI and provide the necessary background for more specialized courses and the completion of the thesis or capstone project.

 

  • INST630 Introduction to Programming for Information Professionals (3 credits)
  • INST631 Fundamentals of Human-Computer Interaction (3 credits)
  • INST632 Human-Computer Interaction Design Methods (3 credits)
  • Research Methods Requirement (3 credits)
  • INST717 Internship in Human-Computer Interaction (3 credits)

 

Elective Courses

 

Students will take 9 credits of elective courses in the following areas: Information Policy, Information Ethics, Users and Use Context, Information and Universal Usability, Information Environments.

 

Thesis or Capstone

 

Students who wish to complete a thesis should enroll in six credits of INST799. These credits must be taken as 3 credits in the fall of the student's final year and 3 credits the following spring.

 

Students who wish to complete a capstone project should enroll in INST775 (3 credits) and INST776 (3 credits). These courses must be taken consecutively in the fall and spring of the student's final year.

 

Facilities and Special Resources

The College operates six research centers: the Human-Computer Interaction Lab (HCIL), the Information Policy and Access Center (iPAC), and the Center for Advanced Study of Communities and Information (CASCI), the Cloud Computing Center (CCC), the Trace Center, and the Digital Curation Innovation Center (DCIC). 
 

iSchool faculty and doctoral students also participate in or have affiliations with the University of Maryland Institute for Advanced Computer Studies (UMIACS), the Maryland Institute for Technology in the Humanities (MITH), and the Computational Linguistics and Information Processing Laboratory (CLIP), as well as the Departments of Computer Science, English, and Sociology, the Robert H. Smith School of Business, the College of Education, and the Philip Merrill College of Journalism.

 

Financial Assistance

The HCIM program is not able to offer applicants financial aid on admission. Many of our students apply for and secure graduate assistantships after being admitted to the program, but these positions are administered by indvidual faculty, departments, and offices, not by the program itself. For more information about scholarships and financial aid offered by the College of Information Studies, please see here.

Contact Statement

For more information about applying to the HCIM program, please contact the iSchool Student Services Office at ischooladmission@umd.edu.

 

Please visit the College of Information Studies website for details on upcoming Information Sessions or Open House programs.

 

Website

http://www.ischool.umd.edu/hcim

Contacts

iSchool Student Services Office

4110 Hornbake Building, South Wing

4130 Campus Drive

College Park MD, 20742

Telephone: (301) 405-2038

ischooladmission@umd.edu

 

Associated Information

Courses

INFM

INST

Keywords

human computer interaction, human centered design, user centered design, usability, UX, user experience, HCIL Lab, usability analysis, big data, social computing, web design, interaction design, information visualization, data visualization,

Relationships

Information Management (INFM)

Information Studies (INFS)

Library and Information Science (LBSC)

Library and Information Science (online) (LBSO)