Professional Master's Degree Requirements
Our Professional Master's in Data Science and Applied Statistics is designed for flexibility. You can complete the degree one step at a time through stackable certificates.
Statistical Foundations Certificate
MATH 509D Statistics for Data Science
STAT 675 Statistical Computing
MATH 574M Statistical Machine Learning
Computational Tools Certificate
CSC 501 Advanced Programming
BIOS 576E Data Management
CSC 544 Data Visualization
Choose a degree emphasis between Computational Biology, Earth Science, and General Track. Note that both the Computational Biology and Earth Science emphases will result in a certificate, but there is not currently a certificate for the General Track.
Computational Biology Certificate (9 units)
MCB 516A Bioinformatic and Functional Genomic Analysis
MCB 547 Big Data in Molecular Biology and Biomedicine
MCB 580 Introduction to Systems Biology
Earth Science Certificate (9 units)
HAS 5xx Earth Informatics (new)
ATMO 545 Introduction to Data Assimilation
HWRS 642 Analysis of Hydrologic systems
General (9 units)
BIOS 647 Categorical Data Analysis
BIOS 648 Analysis of High Dimensional Data
BIOS 684 Mixed Effects Models and Longitudinal Data
CSC 535 Probabilistic Graphical Models
STAT 568 Applied Stochastic Processes
STAT 571A Advanced Statistical Regression Analysis
STAT 574B Bayesian Statistical Theory and Applications
Apply what you’ve learned in a final, hands-on project that tackles a real-world problem. You’ll develop a professional-level analysis, tool, or research product -- building on your portfolio and demonstrating your readiness for the workforce.
Stackable Certificates
MATH 509D: Statistics for Data Science
STAT 675: Statistical Computing
MATH 574M: Statistical Machine Learning
CSC 501: Advanced Programming
BIOS 576E: Data Management
CSC 544: Advanced Data Visualization
MCB 516A: Bioinformatics and Functional Genomic Analysis
MCB 547: Big Data in Molecular Biology and Biomedicine
MCB 580: Introduction to Systems Biology
ATMO 545: Introduction to Data Assimilation
HWRS 642: Analysis of Hydrologic Systems
HWRS 645: Computational Methods for Data Driven Earth Science