Data Science Interest
Data science is an interdisciplinary field that incorporates applied statistics, applied mathematics, and computer science. The CSULB Applied Statistics MS program will equip you with a conceptual foundation, as well as practical experience. This powerful combination will empower you with the skills many employers are looking for. If you are interested in data science, you can find a recommended course sequence here.
Biostatistics Interest
Statistical methods have been applied extensively to the life sciences and to medicine, including modern applications to genomics data. CSULB boasts faculty who have been research statisticians in cutting edge oncology studies, as well as Food and Drug Administration (FDA) clinical trials. If you are interested in biostatistics, you can find a recommended course sequence here.
Econ/Finance Interest
The trends and seasonality in data related to sales, marketing and other economic indicators can be decoded using statistics. These techniques produce forecasts that inform data driven decision making. If you are interested in applications in economics or finance, you can find a recommended course sequence here.
Pre-Approved Outside Courses
Provided your program plan maintains compliance with the current catalog, you are allowed to take non-STAT courses to count towards your 30 units necessary for graduation. Generally speaking, graduate advisor approval is necessary, but there is a pre-approved list of courses you are recommended to choose from. This includes
● All MATH 4xx or MATH 5xx courses
● All MTED 4xx or MTED 5xx courses
● BIOL 574/474: Bioinformatics
● CECS 406/456: Machine Learning
● ECON 586: Econometrics II
● ENGR 570: Applied Data Analysis for Engineers
● HSC 500: Principles of Epidemiology
● IS 480: Advanced Database Management
● IS 570: Business Intelligence
● MKTG 665: Seminar in Marketing Research
● MKTG 675: Seminar in Marketing Analytics
It is important to note that you should have covered the prerequisite material listed in the catalog descriptions of these courses before you consider taking them. For most of the courses outside the Department of Mathematics and Statistics, your quantitative background as a STAT graduate student should be sufficient. Click the button below to request enrollment from the instructor of the course you are interested in. You can find who they are in the schedule of classes.