In addition to the modules offered to those in the BD2K program, there are a variety of courses offered by UNC that could be helpful to BD2K trainees and other students interested in methodological research or applications in Big Data Science. The courses listed below are those we feel would be particularly beneficial. This course list is still in development and additional courses may be added in the near future. Note that course numbers below 600 are undergraduate-level courses.

## Biostatistics

Many courses from the Department of Biostatistics (BIOS) could be useful for those interested in (biomedical) data science. A full list of courses, their descriptions and their prerequisites from this department can be found here. Courses that students may find particularly interesting include:

- BIOS 512: Data Science Basics
- BIOS 611 / STOR 520: Introduction to Data Science
- BIOS 635: Introduction to Machine Learning
- BIOS 660: Probability and Statistical Inference I
- BIOS 661: Probability and Statistical Inference II
- BIOS 662: Intermediate Statistical Methods
- BIOS 665: Analysis of Categorical Data
- BIOS 667: Applied Longitudinal Data
- BIOS 680: Introductory Survivorship Analysis
- BIOS 735: Statistical Computing / Advanced Data Science
- BIOS 740: Precision Medicine
- BIOS 774: Statistical Learning and High Dimensional Data

## Statistics and Operations Research

A full list of courses, their descriptions and their prerequisites from the Department of Statistics and Operations Research (STOR) can be found here. Courses that students may find particularly interesting include:

- STOR 320: Introduction to Data Science
- STOR 555: Mathematical Statistics
- STOR 556: Advanced Methods of Data Analysis
- STOR 565: Machine Learning
- STOR 612: Models in Operations Research / Optimization
- STOR 634: Probability I
- STOR 641: Stochastic Modelling
- STOR 654: Statistical Theory I
- STOR 664: Applied Statistics and Statistical Computing
- STOR 754: Time Series and Multivariate Analysis
- STOR 757: Bayesian Statistics and Generalized Linear Models
- STOR 767: Advanced Statistical Machine Learning
- STOR 89X: Topic courses (past, topics have included Object Oriented Data Analysis and Advanced Numerical Methods for Optimization in Data Analysis Networks)

## Mathematics

A full list of courses, their descriptions and their prerequisites from the Department of Mathematics (MATH) can be found here. Courses that students may find particularly interesting include:

- MATH 528: Mathematical Methods for the Physical Sciences I
- MATH 547: Linear Algebra for Applications
- MATH 566: Introduction to Numerical Analysis
- MATH 590: Mathematical Data Analysis
- MATH 661: Scientific Computing I
- MATH 662: Scientific Computing II / Numerical Linear Algebra
- MATH 768: Mathematical Modelling I
- MATH 920: Continuum Mechanics and Machine Learning

## Other

In addition to courses offered by the BIOS, STOR and MATH departments, BD2K trainees have also found certain courses from the Department of Computer Science (COMP) and the Curriculum in Bioinformatics and Computational Biology (BCB) to be useful. A full list of COMP courses an be found here, and a full list of BCB courses can be found here.