Data Analytics


Career preparation starts your first year at Western. Visit Career Services in Library 120 and online at to discover your interests, define your goals and land your dream job.

The data below is automatically collected by Burning Glass Technologies, a firm that sources job market data and provides analytics. The statistics illustrate general trends in U.S. careers, but do not precisely represent every job and salary.


For required courses and degree plans, visit the official University Catalog. Below is a general overview of courses at Western Colorado University related to this area of study.

 CS 190 - Computer Science I (3 cred.)

An introduction to software development taught in Python. Topics include control structures, I/O, functions, strings, lists, files, other data structures and basic algorithms that use them. Emphasis is placed on good problem-solving practices, testing and debugging.

 CS 303 - Machine Learning (3 cred.)

A study of computer systems that learn. Topics include decision trees, concept learning, neural networks, reinforcement learning, linear and non-linear models, clustering, validation, feature selection, support vector machines and hidden Markov models with applications to the arts and sciences. Prerequisite: CS 220 Data Analytics with minimum grade of “C-”.

 CS 365 - Big Data Analytics (3 cred.)

An intensive study of big data and informatics applications for digital data. Topics include text analysis using classic works and social media, numeric analysis using economic and scientific data and symbolic analysis using genomic data. Emphasis is on programming solutions to complex problems. Prerequisite: CS 220 with minimum grade of “C-”.

 CS 440 - Distributed Computing for Machine Learning and Data Analysis (3 cred.)

A programming intensive introduction to distributed computing with attention to applications in machine learning and data analysis. Topic includes distributed sequential analysis methods, distributed Markov model-based methods, and distributed support vector machine-based methods. Prerequisite: CS 303 or CS 365 with a minimum grade of “C-”.

 ECON 202 - Microeconomics (3 cred.)

The theory of microeconomics makes use of the tools of marginal cost-benefit analysis to provide a framework for the economic analysis of decision-making. The focus is on the choices of individual firms and consumers, and the resultant outcomes in individual markets. The social implications of the functioning of competitive markets are examined, as well as the causes of market failure and the potential roles of government in correcting them. Prerequisite: ACT math score of 19 or above; SAT math score of 500 or above; pass MATH 099; or Accuplacer Elementary Algebra test score of 85 or higher, or college-level math requirement with a minimum grade of "C-."

 ECON 216 - Statistics for Business and Economics (3 cred.)

An introduction to descriptive statistics and statistical inference, with application in business, including hypothesis testing, confidence intervals, and simple regression analysis. Prerequisite: MATH 140, MATH 141, or MATH 151 with a minimum grade of ÒC-.Ó

 ECON 316 - Econometrics (3 cred.)

The application of advanced statistical methods and modeling to an empirical understanding of economic issues. Combines elements of statistical reasoning with economic theory and provides an excellent opportunity to combine concepts learned in previous economics courses. Topics covered include multiple regression analysis, model specification, dummy variables, multicollinearity, heteroscedasticity, autocorrelation, limited dependent variables, simultaneity, time series, forecasting, and methodological issues. Prerequisites: ECON 201or ECON 202; and ECON 216 or MATH 213.

 MATH 213 - Probability and Statistics (3 cred.)

A course in the use of statistical techniques to draw knowledge from data. Topics include exploratory data analysis, descriptive statistics, t-procedures, ANOVA, chi squared procedures, regression, and non-parametric tests. Statistical software is used extensively to analyze real data sets. Prerequisite: MATH 141 with a minimum grade of C-, or Accuplacer university-level mathematics test score of 85 or above; or instructor permission. GT-MA1

 MATH 260 - Applied Linear Algebra (3 cred.)

A course in the techniques and applications of linear algebra. The core topics include solving systems of linear equations, eigenvalues and eigenvectors, matrix decomposition, the pseudoinverse and least squares approximations, and the singular value decomposition. The theory is supplemented with extensive applications and computer programming. Prerequisite: MATH 141.

 MATH 313 - Statistical Modeling and Simulation (3 cred.)

A study of statistical techniques used to model and simulate stochastic processes. The core topics include linear and nonlinear multivariate models, generalized additive models, time series models with auto-correlated error, and mixed effects models. Emphasis is placed on computational techniques appropriate to large data sets and data visualization. Prerequisites: MATH 213 or ECON 216, MATH 260, CS190.

Faculty & Staff


Robert A. Cohen, Ph.D. headshot
Professor of Mathematics, Chair of the Department of Mathematics & Computer Science
Phone: 970.943.2111
Office Location: Hurst Hall 210
Kim Fix, Ph.D. headshot
Professor of Mathematics
Phone: 970.943.3234
Office Location: Hurst Hall 216
Erik Kjosness, M.S. headshot
Lecturer of Mathematics
Phone: 970.943.2127
Office Location: Hurst Hall 108
Jeremy Muskat, Ph.D. headshot
Associate Professor of Mathematics
Phone: 970.943.3150
Office Location: Hurst Hall 112
Alex Rasche, Ph.D. headshot
Lecturer of Math
Phone: 970.943.7009
Office Location: Hurst Hall 114
Sarah Schaefer, M.S. headshot
Mathematics Lecturer
Phone: 970.943.7023
Office Location: Hurst Hall 106
Zachary Treisman, Ph.D.  headshot
Lecturer of Mathematics
Phone: 970.943.2075
Office Location: Hurst Hall 110


Program-Based Scholarships

John Peterson Memorial Scholarship In Computer Science


  • Students majoring in Computer Information Science
  • Completed a minimum of 12 credit hours at Western, 3 of which can be applied toward their majors
  • Must have minimum 3.0 GPA
  • Plan on enrolling in at least nine credits


This scholarship is provided by Stephen Watson.

Amount: $500

Selected by: Math and Computer Science Scholarship Committee


Contact the Mathematics & Computer Science Department for application and deadline information.

970.943.2015 | Hurst Hall 128

Institutional Scholarships

Common Scholarships

Western offers approximately 70 common scholarships for which a wide variety of students are eligible (e.g., locals, veterans, transfers). Apply for any number of these common scholarships using Western’s Common Scholarship Application, which is due April 1. For more information, visit our scholarships page.

Mountaineer Alumni Recommendation Scholarship

Western Colorado University alumni can nominate prospective students for a $500 scholarship ($250 per semester) for first year only. Application deadline is typically June 1. For more information, visit

Neighboring States Program

Students with a permanent address from one of the seven contiguous neighboring states to Colorado who have demonstrated financial need are automatically considered for a special $1,000 per year grant, totaling $4,000 over four years.

The Western Neighboring States program can be added to WUE, CP or merit scholarships. So, if you are a permanent resident of one of those seven states—and show financial need—you are eligible.

For more information about the Neighboring States program, visit Western’s Tuition Discount Programs Page.

Presidential Promise

The Presidential Promise is guaranteed to students who have received a scholarship through the Denver Scholarship Foundation (DSF) and/or GearUp—and are eligible for a Pell Grant.

For students who meet these criteria, Western will cover the cost of tuition and fees through the combination of federal, state and institutional aid. For more information on the Presidential Promise, visit our scholarships page.

Tuition Discount Programs

Western Undergraduate Exchange (WUE) or Central Plains (CP) tuition represents a substantial savings relative to normal, out-of-state tuition. Students eligible for the WUE or CP program will be charged 150% of Western’s total in-state tuition. For 2018-19, total in-state tuition was $8,934. WUE/CP tuition was $13,401. The WUE/CP discount is valued at $4,695.

For more information about the WUE and CP geography-based programs, visit Western’s Tuition Discount Programs Page.

Western Merit Scholarship

Immediately upon acceptance at Western, every student is considered for a merit scholarship worth between $2,500-$4,500 per year for in-state students and $8,000-$10,000 for out-of-state students. The amount is based on the student's GPA and ACT/SAT scores. Visit our Net Price Calculator at to determine whether you qualify for a merit scholarship. 

For more information about merit scholarships at Western, visit our scholarships page.

Get Involved

A college education is more than just taking courses. Meet new people, apply your skills and stretch beyond your comfort zone. Make your education an experience.

  • Conferences: Students and faculty travel to two conferences each year.
  • Seminars: Faculty show what they have been working on and students present their research projects.
  • Tutoring Jobs: Available to students interested in teaching others and mastering basic principles.

Data analytics is an interdisciplinary field that involves learning the techniques of data analysis and the context in which the data are generated. The Data Analytics minor teaches the quantitative skills, computational fluency and leadership abilities needed to thrive in almost every industry. Students will learn how to:

  • Build models to discover relationships between data and questions.

  • Analyze models to distinguish between causal agents and spurious correlations.

  • Visualize data to discover hidden patterns and communicate these patterns to others.

  • Interpret data to form useful analyses.

  • Harness computers to find structures hidden in vast databases.

  • Lead and work in teams.

Learn More

Reach out for more information about the program.

Professor of Mathematics, Chair of the Department of Mathematics & Computer Science
Office Location: 
Hurst Hall 210

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