Graduate Programs

Bioinformatics MS AND PhD

Bioinformatics M.S. and Ph.D. degrees are offered jointly by UA Little Rock and the University of Arkansas for Medical Sciences. The Ph.D. program requires completion of an M.S. degree in bioinformatics, but students with graduate education in one of the program cores (bioinformatics, biostatistics, information/computer science, and the life sciences) may be granted an M.S. advanced placement, reducing credit requirements from 38 to 32. While research is emphasized in both degrees, the M.S. degree is course- and breadth-focused the Ph.D. is depth-focused and primarily a research degree. Graduate are well prepared to pursue academic or industry positions doing teaching, research, and consulting.

Contact information: Dr. Mary Yang, mqyang@ualr.edu 501-916-5243 https://ualr.edu/bioinformatics/

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Computer and Information Sciences PhD

The Computer and Information Sciences Ph.D. program is designed to promote strong multidisciplinary collaborations across several computing disciplines whose bodies of knowledge influence and intertwine with each other. Our program offers three emphasis areas: computer science, information science, and information quality, each of which is supported by faculty, curriculum, and other resources from the departments of computer science, information science, and systems engineering. The Information Science and Information Quality Tracks are also available online. Our graduates are prepared to thrive in diverse computing- and knowledge-based industries as well as in research and education at academic, industry, and federal agencies.

Contact information: Dr. John R. Talburt, jrtalburt@ualr.edu, 501-916-5228 https://ualr.edu/cis

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Computer Science MS

The Master of Science program in computer science reflects current trends in the computer science discipline and provides students with a solid theoretical and practical foundation for careers in computer science and/or advanced graduate studies. The curriculum consists of core and specialization course work. The core curriculum includes required courses that impart fundamental knowledge and skills. Building on the core foundation, the specialization course work allows students to select electives to acquire more in-depth knowledge and skills in their specific areas of interest. In addition to the course work, students complete one of the following program options: thesis, project, or comprehensive examination. Classes are scheduled so both day and evening students can complete the program, which leads itself to full- and part-time study.

Contact information: Dr. Mariofanna Milanova, Ph.D., mgmilanova@ualr.edu, 501-916-5293
https://ualr.edu/computerscience/prospective-students/programs/graduate-programs

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Construction Management MS

The Master of Science in Construction Management develops upper-level management personnel for the construction industry while helping students to pass the Certified Professional Constructor (CPC) examination administered by the American Institute of Constructors (AIC). The Master of Science degree in Construction Management offers two program options: 1) Thesis Option: 30 credit hours beyond the baccalaureate degree, including six credit hours of thesis work. 2) Non-Thesis Option: 30 credit hours beyond the baccalaureate degree, including a three-credit hour project. For both thesis and non-thesis options, the work must include at least 18 credit hours of 7000-level or above work. A maximum of 12 credit hours (with grades of B or better) can be 5000-level courses, and a maximum of nine credit hours (with grades of B or better) of graduate courses can be taken from programs outside the construction management program or from another university.

Contact information: Mike Tramel, Email:jmtramel@ualr.edu, 501-569-8229 https://ualr.edu/constructionmanagement

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Data Science GC

The Graduate Certificate in Data Science Program is a 12 credit hour program designed to meet the demand for professionals who can help organizations create new innovations in information retrieval, storage, and analysis tools and techniques. The Graduate Certificate in Data Science can also be completed online.

Contact information: Dr. Eduard Tudoreanu, metudoreanu@ualr.edu, 501-916-5229 https://ualr.edu/informationscience

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Electrical and Computer Engineering MS

The Master of Science program in Electrical and Computer Engineering (MSECE) consists of a minimum of 31 credit hours beyond the baccalaureate degree, of which a maximum of six hours can be transferred from a graduate program from another university with the graduate coordinator’s approval.

In addition, students are required to maintain acceptable performance; all master’s course work must be completed with a minimum GPA of 3.0. A student receiving one “C’ in the course work will be warned that his/her performance is unacceptable and that the student will be reviewed by ECE faculty, which will also suggest corrective. A student receiving two “C’s” will be dismissed from the program, pending review by the ECE faculty.

Students enrolled in non-thesis option are required to do a graduate project supervised by an ECE faculty member. The student’s plan of study must be developed in conjunction with his/her thesis/project advisor or Graduate coordinator and filled with the Graduate Coordinator.

Contact information: Dr. Kamran Iqbal kxiqbal@ualr.edu | Program Description

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Engineering PhD (Electrical and Computer Engineering Track)

The Engineering Science and doctoral program leading to the Ph.D. degree is housed in the Donaghey College of Science, Technology, Engineering, and Mathematics. Faculty, curriculum, and resources for this program are contributed by five departments: Computer Science, Information Science, Engineering Technology, Earth Science, and Construction Management and Civil and Construction Engineering. The program is designed to provide a collaborative, interdisciplinary framework of graduate studies and research in engineering with exposure to the systems approach that is increasingly the hallmark of current research and development in the global engineering community.

501-916-3100 Program Details

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Engineering PhD (Mechanical Engineering Track)

The Engineering Science and doctoral program leading to the Ph.D. degree is housed in the Donaghey College of Science, Technology, Engineering, and Mathematics. Faculty, curriculum, and resources for this program are contributed by five departments: Computer Science, Information Science, Engineering Technology, Earth Science, and Construction Management and Civil and Construction Engineering. The program is designed to provide a collaborative, interdisciplinary framework of graduate studies and research in engineering with exposure to the systems approach that is increasingly the hallmark of current research and development in the global engineering community.

501-916-3100 Program Details

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Information Science MS

Information science is a field of study and practice dedicated to educating students in the knowledge, skills, and technologies needed to design and develop systems for better storage, retrieval and usage of information, offering degree and certification programs that prepare students to pursue successful careers and to continue lifelong learning in Information Science, and Conducting research to advance the field of Information Science through innovative applications of information technologies. The Information Science MS is available online.

Contact information: Dr. Daniel Berleant, jdberleant@ualr.edu, 501-916-5226 https://ualr.edu/informationscience

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Information Quality GC & MS

Information quality is a field of study and practice dedicated to assuring that organizations produce information products that meet the expectations of consumers and that organizations maximize the value derived from their information assets. UA Little Rock offers the most comprehensive graduate program in information quality in the world. Students have three-degree options: a Graduate Certificate in information quality, a Master of Science in information quality, and an information quality track in the Computer and Information Sciences Ph.D. program. All three of these options are available on-campus and online. The program prepares students to pursue careers such as information quality manager, information quality analyst, data governance director, and chief data officer, as well as academic careers in teaching and research.

Contact information: Dr. John R. Talburt, jrtalburt@ualr.edu, 501-916-5228 https://ualr.edu/informationquality

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Mechanical Engineering MS

The Masters of Science in Mechanical Engineering  program consists of a minimum of 34 credit hours beyond the baccalaureate degree.

In addition, students are required to maintain acceptable performance; all master’s course work must be completed with a minimum GPA of 3.0. A student receiving one “C’ in the course work will be warned that his/her performance is unacceptable and that the student will be reviewed by Mechanical Engineering faculty which will suggest corrective. A student receiving two “C’s” will be dismissed from the program, pending review by the Mechanical Engineering faculty.

The student’s plan of study must be developed in conjunction with his/her project advisor or Graduate Coordinator and filed with the Graduate Coordinator.

Contact information: Dr. Andrew Wright abwright@ualr.edu | Program Description

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