May 22, 2026  
2026-2027 University Catalog 
    
2026-2027 University Catalog

Information Technology, Data Science Concentration, M.S.


(30 UNITS)

Master of Science in Information Technology


The Master of Science in Information Technology is for professionals interested in furthering their knowledge in the areas of information technology management and data science. In addition to technical and theoretical knowledge, MSIT students develop the ability to communicate effectively in synchronous and asynchronous online environments, thus ensuring that they are well-prepared for all modes of modern management practice. Collectively, graduates from the program are able to perform a wide variety of job functions, including managing and capitalizing on new and existing technologies, and aligning organizational strategies with technological strategies for the purpose of improving organizational decision-making.

Admission Requirements


Admission is competitive. Students must meet all CSU requirements for admission to a master’s degree program. Please consult the Graduate Admissions section in the university catalog for complete information.

Rapid Admission Pathway


Applicants with a degree from an AACSB-accredited business program (in any country) or STEM program in the United States are eligible for rapid admission to the MSBA program for a period of up to three years from their date of most recent degree conferral if they meet the following criteria:

  • Overall GPA of 3.0 or better in most recent completed degree.
  • A “B” (3.0) or better in a university-level calculus class.
  • A “B” (3.0) or better in statistics or data analysis class at an upper-division undergraduate or graduate level.

Standard Admission Pathway


Applicants who are not eligible for the rapid admission pathway will be evaluated based on all of the following criteria:

  • A degree in business or STEM-related field, or two years of professional work experience in a business-related position.
  • Satisfactory GPA in the most recent completed degree. Preferential admission will be given to applicants who have a GPA of 3.0 or better.
  • Completing the Graduate Management Admission Test (GMAT) or Graduate Record Exam (GRE) is not required, but preferential admission will be given to applicants who have taken either GMAT or GRE exams, or pass INFORMS Certified Analytics Professional Essentials Certificate (CAP-E).
  • Recommendation from the Information Systems and Decision Sciences Admission Committee, based on a review of the above requirements, the student’s Statement of Purpose and prior education and work experience.
  • English Language Proficiency: for applicants whose education was not at a majority English-language country, please review the Office of Admissions website for specific program exam requirements and benchmarks.

Conditional Admission Pathway


Applicants who do not meet the requirements for either the rapid or standard admission can be granted “conditional admission” with the following criteria:

  • Recommendation from the ISDS Admission Committee based upon a review of the student’s Statement of Purpose and prior education and work experience.
  • English Language Proficiency: for applicants whose education was not at a majority English-language country, please review the Office of Admissions website for specific program exam requirements and benchmarks.

    After conditional admission to the program, the student will subsequently be granted classified graduate standing upon completion of either GMAT or GRE exams and score in the 50th percentile or above, or passing the INFORMS Certified Analytics Professional Essentials Certificate (CAP-E). This requirement should be completed before or within four months of starting the program.  

    Capstone (3 units)


    Must be taken in the last semester or after completing seven ISDS courses from the program.

    Data Science Concentration (12 units)


    The Data Science concentration provides students with knowledge, skills and experience in data processing and analytics in the context of business. Students learn to articulate strategies and methods that allow for the effective use and management of data storage and analytics within an organization.

    Total (30 units)