Undergraduate Courses
In January 2021, Vanderbilt launched a new trans-institutional undergraduate Data Science Minor that spans the Blair School of Music, the College of Arts and Science, the School of Engineering, and Peabody College and is affiliated with the Data Science Institute. For information about the Data Science Minor see here:
https://www.vanderbilt.edu/undergrad-datascience/
Students in any major or minor at Vanderbilt can help prepare themselves for future education or employment in Data Science with foundational courses in mathematics, statistics, and computation, along with a variety of elective courses. Examples of existing Vanderbilt courses that cover key Data Science topics are listed below.
Introduction to Data Science
| DS 1000 |
Data Science: How Data Shape Our World |
Fundamentals of Data Science
| DS 3100 |
Fundamentals of Data Science |
Introductory Computer Programming
| DS 1100 |
Applied Programming and Problem Solving with Python |
| CS 1100 |
Applied Programming and Problem Solving with Python |
| CS 1101 |
Programming and Problem Solving (Java) |
| CS 1104 |
Programming and Problem Solving with Python |
Intermediate Computer Programming
| CS 2201 |
Program Design and Data Structures (C++) |
| CS 2204 |
Program Design and Data Structures for Scientific Computing (Python) |
Multivariate Calculus and Linear Algebra
| MATH 2310 |
Multivariable Calculus with Matrix Algebra |
| MATH 2400 |
Differential Equations with Linear Algebra |
| MATH 2410 |
Methods of Linear Algebra |
| MATH 2501 |
Multivariable Calculus and Linear Algebra |
| MATH 2600 |
Linear Algebra |
Introduction to Statistics
| DS 2100 |
Statistics for Data Science |
| BME 2400 |
Quantitative Methods I: Statistical Analysis |
| BSCI 3270 |
Statistical Methods in Biology |
| CE 3300 |
Risk, Reliability, and Resilience Engineering |
| ECON 1500 |
Economic Statistics |
| ECON 1510 |
Intensive Economic Statistics |
| MATH 2810 |
Probability and Statistics for Engineering |
| MATH 2821 |
Introduction to Applied Statistics |
| PSY 2100 |
Quantitative Methods |
| PSY-PC 2110 |
Introduction to Statistical Analysis |
| SOC 2100 |
Statistics for Social Scientists |
Machine Learning
| DS 3262 |
Applied Machine Learning |
| CS 3262 |
Applied Machine Learning |
| CS 4262 |
Foundations of Machine Learning |
| MATH 3670 |
Mathematical Data Science |
Intermediate / Advanced Programming, Modeling, Simulation
| ASTR 3800 |
Structure Formation in the Universe |
| BME 4310 |
Modeling Living Systems for Therapeutic Bioengineering |
| CHEM 5410 |
Molecular Modeling Methods |
| CHEM 5420 |
Computational Structural Biochemistry |
| EES 4760 |
Agent and Individual Based Computational Modeling |
| ME 4271 |
Fundamentals of Robotic Manipulators |
| ME 4284 |
Modeling and Simulation of Dynamic Systems |
| ME 4263 |
Computational Fluid Dynamics and Multiphysics Modeling |
| ME 4275 |
Finite Element Analysis |
| PHYS 3790 |
Computational Physics |
| PSY 4218 |
Computational Modeling |
| PSY 4219 |
Scientific Computing for Psychological and Brain Sciences |
| PSY 4775 |
Models of Memory |
| SC 3250 |
Scientific Computing Toolbox |
| SC 3260 |
High Performance Computing |
Intermediate / Advanced Probability, Statistics, and Data Analysis
| ASTR 8070 |
Astrostatistics |
| BIOS 6311 |
Principles of Modern Biostatistics |
| BIOS 6312 |
Modern Regression Analysis |
| BIOS 6341 |
Fundamentals of Probability |
| BIOS 6342 |
Contemporary Statistical Inference |
| BIOS 7362 |
Advanced Statistical Inference and Statistical Learning |
| BIOS 8366 |
Advanced Statistical Computing |
| BME 4420 |
Quantitative and Functional Imaging |
| CE 4320 |
Data Analytics for Engineers |
| ECON 3035 |
Econometric Methods |
| ECON 3330 |
Economics of Risk |
| ECON 4050 |
Topics in Econometrics |
| EES 3310 |
Global Climate Change |
| MATH 3640 |
Probability |
| MATH 3641 |
Mathematical Statistics |
| MATH 4650 |
Financial Stochastic Processes |
| PSY 3891 |
Bayesian Cognitive Modeling |
| PSY-PC 2120 |
Statistical Analysis |
| PSY-PC 3722 |
Psychometric Methods |
| PSY-PC 3724 |
Psychometrics |
| PSY-PC 3738 |
Introduction to Item Response Theory |
| PSY-PC 3743 |
Factor Analysis |
| PSY-PC 3749 |
Applied Nonparametric Statistics |
| PSY-PC 3746 |
Multivariate Statistics |
| PSY-PC 3737 |
Structural Equation Modeling |
| PSY-PC 3732 |
Latent Growth Curve Modeling |
| PSY-PC 3727 |
Modern Robust Statistical Methods |
| PSY-PC 7878 |
Statistical Consulting |
Machine Learning, Visualization, Data Science
| ANTH 3261 |
Introduction to Geographic Information Systems and Remote Sensing |
| ANTH 3867 |
Digital Archaeology |
| ASTR 8080 |
Data Mining in Large Astronomical Surveys |
| BME 4420 |
Quantitative and Functional Imaging |
| BMIF 6310 |
Foundations of Bioinformatics |
| BMIF 6315 |
Methodological Foundations of Biomedical Informatics |
| BMIF 7380 |
Data Privacy in Biomedicine |
| CS 3265 |
Introduction to Database Management Systems |
| CS 4260 |
Artificial Intelligence |
| CS 4266 |
Topics in Big Data |
| CS 6362 |
Advanced Machine Learning |
| EECE 4354 |
Computer Vision |
| ECON 3750 |
Econometrics for Big Data |
| MATH 3130 |
Fourier Analysis |
| MATH 3670 |
Mathematical Data Science |
| MATH 4620 |
Linear Optimization |
| MATH 4630 |
Nonlinear Optimization |
| NSC 3270 |
Computational Neuroscience |
| PSY-PC 3751 |
Exploratory and Graphical Data Analysis |
Research Hours in Data Science
| DS 3850 |
Independent Study in Data Science |