Data Science Minor:

The demand for employees trained in data science has grown considerably in recent years. This flexible minor allows students to acquire the necessary skills to work toward a career in data science. This minor will provide students fundamental data science skills related to programming, probability, statistics, data manipulation, data visualization, data modeling, and opportunities to develop skills in a specific field of application (e.g., business, biology, health, etc.) or to focus on specific skills within data science. If you have questions about the degree program or need advising, please email data.science.advising@ucdenver.edu with your inquiry.

Course Requirements:

Data Science minor students must complete coursework in the areas below.

Programming

Complete one of the options below:

• MATH 1376: Programming for Data Science

• CSCI 1410: Fundamentals of Computing and CSCI 1411: Fundamentals of Computing Laboratory

• ISMG 4400: Web Application Development

Probability and statistics

Complete one of the options below:

• MATH 2830: Introductory Statistics

• MATH 3382: Statistical Theory

• MATH 3800: Probability and Statistics for Engineers

Data manipulation and visualization

• MATH 3376: Data Wrangling & Visualization

Data modeling

Complete one of the following options:

• MATH 4387: Applied Regression Analysis

• MATH 4830: Applied Statistics

Electives

Complete six hours of eligible electives. Eligible electives currently include:

• MATH 3191: Applied Linear Algebra

• MATH 3195: Linear Algebra and Differential Equations

• MATH 3200: Elementary Differential Equations

• MATH 3301: Introduction to Optimization

• MATH 3810: Introduction to Probability

• MATH 4337: Intro to Statistical and Machine Learning

• MATH 4388: Machine Learning Methods

• MATH 4390: Game Theory

• MATH 4408: Applied Graph Theory

• MATH 4650: Numerical Analysis I

• MATH 4660: Numerical Analysis II

• MATH 4733: Partial Differential Equations

• MATH 4792: Probabilistic Modeling

• MATH 6330: Workshop in Statistical Consulting

• ECON 4030: Data Analysis with SAS

• ECON 4811: Introduction to Econometrics

• CHEM 4521: Physical Chemistry: Quantum and Spectroscopy

• CHEM 4580: Molecular Informatics

• CHEM 4640: Artificial Intelligence in Chemistry and Biochemistry

• CHEM 4845: Molecular Modeling and Drug Design

• CSCI 3287: Database System Concepts

• CSCI 3963: Network Structures

• CSCI 4455: Data Mining

• CSCI 4580: Data Science

• CSCI 4788: Bioinformatics

• CSCI 4930: Machine Learning

• CSCI 4931: Deep Learning

• CSCI 4951: Big Data Systems

• GEOG 4070: Remote Sensing II: Advanced Remote Sensing

• GEOG 4080: Introduction to GIS

• GEOG 4081: Cartography

• GEOG 4085: GIS Applications for the Urban Environment

• GEOG 4090: Environmental Modeling with Geographic Information Systems

• GEOG 4091: Open Source Software for Geospatial Applications

• GEOG 4092: GIS Programming and Automation

• GEOG 4095: Deploying GIS Functionality on the Web

• GEOG 4235: GIS Applications in the Health Sciences

• ISMG 3000: Technology In Business

• ISMG 3500: Business Data and Database Management