Master of Science in Data Analytics

The Master of Science in Data Analytics, offered by the Department of Applied Data Science, is developed in partnership with industry experts targeting students from diverse academic and professional backgrounds. Students receive the advanced education necessary to apply analytics to solve real-world problems by immersing them in the full data analytics process lifecycle.

Students learn how to build portfolios of data analytics projects by leveraging the interrelationship between domain data knowledge and emerging information technologies. Students advance their knowledge and skills through the integration of:

Identifying domain-specific problems, defining requirements, and establishing measurable organizational objectives.

Performing data exploration, preparation, visualization, and governance.

Applying programming, statistics, database, data mining, and machine learning technologies to build models for descriptive, diagnostic, predictive, and prescriptive data analytics.

Engaging in the development, validation, and monitoring of data analytics systems to meet requirements and objectives.

Applicant must have earned a bachelor's degree from a regionally accredited institution and achieved a GPA of at least 3.0 (on a 4.0 scale) in the bachelor's degree institution or in the last 60 semester or 90 quarter units of all coursework. Also required are an upper-division statistics course with college calculus course(s) as prerequisites, and at least one college-level programming course. An applicant might be conditionally admitted to the program with marginal deficiency in the above requirements.

English Language Proficiency: IELTS: 6.5; TOEFL – 80 (IBT), paper based – 550, Computer based – 213; Pearson Test of English (PTE) – 53.