Department of Statistics and Biostatistics

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!

• Open Source/Free Software Focus: R, RStudio, RStudio Cloud, R Notebooks, Markdown, SQL, Python, Julia, Jupyter Notebooks, Git and GitHub, Tableau, LibreOffice, Knime, Google CoLab, Google CoLab R
• Commercial Software Friendly: Microsoft Office Word, Excel (learn to sort, fliter, product pivot tables), PowerPoint,  SAS, Mintab, SPSS (The university has licenses for the full versions of SAS and Minitab that permit student use on their own computers.)
• Open Data Focus: kaggle, data.world, DataSF, lyft BayWheels, Chicago Data Portal, NHANES, Airline On-Time Statistics
• OS: Windows, macOS, ask about Linux, BSD, and cloud computing

Our library has many of the books we use in classes and as references available online. 

• As a student you will have access to O'Reiley Safari books and Packt books.  Both are available through the CSU East Bay Library Database A-Z. 
• We also use online books from Bookdown, LeanPub, otexts, and LibreText.  And papers available from many sources, such as jstor, arxiv, PeerJ. 
• Students also have access to LinkedIn Learning.

Founded in 1964, the Department of Statistics and Biostatistics has offered applied statistics and computing to our students for 7 decades. CSU East Bay is one of the most diverse universities in the United States. We have valued and admitted students with diverse backgrounds. We have also admitted many students transitioning into Statistics and Data Analysis careers. Our Department has always been at the forefront of software and computational methods for Data Analysis.

• Join the professional groups started by our alumni
  • R-Ladies San Francisco and AI Inclusive
  • BARUG and  RStudio RViews
• TBA Students work on Covid-19 Data Hub