The information science discipline is expanding rapidly thanks to an ever-present demand for new innovations in information retrieval, storage, processing and analysis tools and techniques. Ranked among the top information science programs by both U.S. News & World Report and Intelligent.com, UA Little Rock’s Master of Science in information science is designed to familiarize individuals with the advanced knowledge, skills, and technologies for working with large amounts of complex data.
The curriculum balances theory and industry best practices using state-of-the-art tools and technology. It is based on the Model Curriculum and Guidelines for Graduate Degree Programs in Information Systems endorsed by the Association for Computing Machinery (ACM) and Association for Information Systems (AIS), with a data science perspective.
All required courses are offered online via live webcast and recorded lectures. Online campus students are not required to attend live webcasts but are welcome to do so when they wish. Courses are taught by highly qualified doctoral-level faculty with extensive experience in the field. Students will complete a 6-credit project (or thesis) which is often related to their workplace environment.Request Info Apply Now
Entry Terms: Fall and Spring Semesters
Anyone with a baccalaureate from an accredited school can apply for admission to the M.S. in information science program. Candidates who have a background in computer programming, database concepts, and applied statistics, or who have professional experience in an information analysis role will be the most prepared to enter and successfully complete the program.
Requirements for Regular Admission
• Baccalaureate degree from an accredited institution
• Cumulative grade point average of at least 3.0 on a 4.0 scale
• Graduate Record Examination general test section (GRE) or Graduate Management Admission Test (GMAT) scores, or waiver form https://ualr.edu/informationscience/forms
• Completion of any remedial course work that may be specified by the department. Students seeking regular admission to the program are expected to have completed (with a grade of B or better in each course) course work or have professional experience equivalent to the following UA Little Rock courses:
IFSC 2300 Object-Oriented Technology
IFSC 3320 Database Concepts
STAT 2350 Intro to Statistical Methods
For more information, please contact Dr. Daniel Berleant at firstname.lastname@example.org.
Our curriculum has a distinctive core. In addition to the four required core courses, each student will choose five graduate level courses relevant to the program’s educational goals and the student’s interests and career objectives. Courses do not all have to be in the Department of Information Science. A limit of two courses may be selected from the Information Quality catalog.
Students will also complete a project or thesis, which may be connected to the student’s employment where applicable. This must total at least 6 credit hours, normally divided across two semesters.
UA Little Rock is fully accredited by the Higher Learning Commission, affiliated with the Electronic Campus of the Southern Regional Education Board (SREB), and designated as “doctoral/research intensive” by the Carnegie Foundation.
UA Little Rock makes every effort to meet special accommodation and access needs. For information on specific accommodations for individuals with disabilities, you may contact the department sponsoring the class you wish to attend, call eLearning at 501.569.3003, or the Office of Disability Support Services at 501.569.3143. The Disability Support Services website, ualr.edu/disability/, provides information about the accommodation process and online forms to apply for services.
Required Courses (33 hours)
In addition to the four required core courses, students will choose five graduate level courses relevant to the program’s educational goals and the student’s interests and career objectives. Courses need not necessarily all be in the Department of Information Science. A limit of two courses may be selected from the Information Quality catalog. You might also be interested in checking out our M.S. in information quality.