Accelerated Computer Science, M.S.

Program Differentiation

The Accelerated Computer Science M.S. is curricularly identical to the Computer Science M.S. program, with the exception that some graduate coursework can be completed as an LMU Computer Science B.S. student. As such, this program is available solely to these students. The Accelerated Computer Science M.S. program fulfills identical objectives and requirements as the standard Computer Science M.S. program, with the following logistic differences:

  1. Up to two (2) courses of the Computer Science M.S. requirements (3–8 units) may be fulfilled by a student before receiving the Computer Science B.S. degree
  2. A recent Computer Science B.S. recipient may begin their graduate studies in the term immediately following the undergraduate program
  3. As a result of the first two items, it is thus possible for an Accelerated Computer Science M.S. student to complete the program within one (1) calendar year after graduating with the Computer Science B.S.

All other aspects of the program are identical to the Computer Science M.S., as seen below.

Program Details

Department: Computer Science
Modality: In-Person
Concentrations: n/a
Semester hours: 30
Total years: 1-3 

The graduate program in Computer Science is designed to provide theoretical knowledge as well as practical applications in the areas of software architecture, artificial intelligence, cybersecurity, and computer networks (to name a few). In this program, students are given an opportunity to continue their education on a part-time or full-time basis, and can conduct research under the guidance of a faculty advisor. Upon graduation from the program, students will be conferred the degree of Master of Science (M.S.) in Computer Science.

Program Educational Objectives

The Computer Science graduate program educational objectives are:

  1. The development of in-depth expertise for a successful career and/or a successful undertaking of further graduate level studies in computer science and related fields.
  2. The ability to meet the challenges of the future through continuing professional growth.
  3. An appreciation of societal and environmental impact surrounding computing-related decisions and applications.