DATA SCIENCE
What we offer related to Data Science!
CSUEB Statistics students face lower competition for course availability.
We offer courses directly related to Data Science at the undergraduate and graduate levels. Topics include: R for Data Science, Data Visualization, Statistical Learning, Predictive Modeling, Training and Test Data, Statistical Natural Language Processing, Applied Deep Leaning, Time Series, Bayesian Statistics
Most important requirement for the BS Statistics Concentration in Data Science or Minor in Data Science is interest – the program is applied and hands on. Study Data Science in the CSU East Bay College of Science. Smaller undergraduate classes ~35 students per class. We describe our major as: “Touch data” “Compute-more” “Calcu-less”
Most important application requirement for the MS Statistics Option in Data Science is interest – please apply for Fall Semester, but if you miss the deadline you can start Fall through OpenU and apply for Spring Semester. Study Data Science in the CSU East Bay College of Science. Our MS program is designed for continuing students who have completed any undergraduate degree and some prerequisite courses and for working adults. Complete the degree in two years, 2 afternoons or 2 evenings per week. Reasonable price – no $80,000 price tag, no CSU Business College $270 per UNIT fee, save approximately $8,640. Program can be completed in 3 semesters by taking class four days a week, see the Graduate Advisor for details upon admission. Afternoon and Evening classes. Smaller graduate classes ~25 students per class. We describe our program as: “Touch data” "Work with small data to medium data to big data" "100s of rows to 10's of millions to a billion+ rows of data"
Diversity of technical background valued, you can start from scratch or have a PhD or MD, retired professionals welcome!
DATA SCIENCE WORKGROUP F2
On Friday's at 2pm the Data Science Workgroup meets. In the Fall Semester the STAT 694 can be taken for credit. Each semester students work on a research project applying Data Science Methods to data of interest.