A minimum of 30 units of coursework, with at least a 3.0 GPA, past the Bachelor's Degree is required made up as follows:
1. Complete 18 units of core coursework.
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Foundational Theory
MATH 509D Statistics for Data Science
STAT 675 Statistical Computing
MATH 574M Statistical Machine Learning -
Application Tools
CSC 501 Advanced Programming
BIOS 576E Data Management
CSC 544 Data Visualization
Most top Data Science Professional Master’s degrees have a similar core curriculum. The degree can be completed by taking three additional data science elective courses. The University of Arizona offers the option of completing the Master’s Degree with a subject matter emphasis. Our first two are Computational Biology and Earth Science.
2. Complete 9 units of coursework from one of the following three emphases:
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Computational Biology
MCB 516A Bioinformatic and Functional Genomic Analysis
MCB 547 Big Data in Molecular Biology and Biomedicine
MCB 580 Introduction to Systems Biology -
Earth Science
HAS 5xx Earth Informatics (new)
ATMO 545 Introduction to Data Assimilation
HWRS 642 Analysis of Hydrologic systems -
General
BIOS 647 (3) Categorical Data Analysis
BIOS 648 (3) Analysis of High Dimensional Data
BIOS 684 (3) Mixed Effects Models and Longitudinal Data
CSC 535 (3) Probabilistic Graphical Models
STAT 568 (3) Applied Stochastic Processes
STAT 571A (3) Advanced Statistical Regression Analysis
STAT 574B (3) Bayesian Statistical Theory and Applications