Information Technology, Data Science Concentration, M.S.

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Master of Science in Information Technology

(30 UNITS)

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

Students must meet the CSU requirements for admission to a master’s degree program. Please consult the Graduate Admissions section in this catalog for complete information. In addition, applicants will be evaluated based on the following:

Minimum of two years of practical experience in a functional area of business
Minimum average score of 530 on the GMAT or a total scaled score of 530 on the GRE
An essay explaining why they would be a good candidate for the program is required
Successful passage of a phone or facetoface interview designed to assess their level of technology know ledge, skills and abilities to be an online learner
For international students, a TOEFL score of 570 on the paper exam

Core Courses (15 units)

Additional Information

* Students must obtain department approval to enroll in these courses

Capstone Course (3 units)

ISDS 577 - Seminar in Information Systems Implementation (3)
(must be taken in the last semester)

Data Science Concentration

The Information Technology, 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.