CERTIFICATE IN APPLIED DATA SCIENCE
2017—2018

Link to WesMaps Courses

To earn the Applied Data Science Certificate, students must complete eight graded courses:

Select one of the following basic knowledge courses: 1
Elementary Statistics
Modeling and Data Analysis: From Molecules to Markets
Statistics: An Activity-Based Approach
Applied Data Analysis
Digging the Digital Era: A Data Science Primer
Select two courses from the following mathematical, statistical and computing foundation courses, each from a different group: 2                                   
Mathematical Foundations
Vectors and Matrices
Linear Algebra
Discrete Mathematics
Statistical Foundations
Quantitative Methods in Economics
Political Science by the Numbers
An Introduction to Probability
Mathematical Statistics
Computing Foundations
Bioinformatics Programming
Introduction to Programming
Computer Science I
Computer Science II
Select two of the following applied data science courses: 2
Data Visualization: An Introduction
Applications of Machine Learning in Data Analysis
Quantitative Textual Analysis: Introduction to Text Mining
Select two credits from the following applied electives: 2
Introduction to GIS
Advanced GIS and Spatial Analyses
Economics of Big Data
Econometrics
Introduction to Forecasting in Economics and Finance
Empirical Methods for Political Science
Advanced Topics in Media Analysis
Computational Physics (0.5 credits)
Applied Quantitative Methods in Survey Research
Introduction to (Geo)Spatial Data Analysis and Visualization
Introduction to Network Analysis
Data Visualization: An Introduction
Longitudinal Data Analysis (0.5 credits)
Hierarchical Linear Models (0.5 credits)
Latent Variable Analysis (0.5 credits)
Survival Analysis (0.5 credits)
Bayesian Data Analysis: A Primer (0.5 credits)
Introduction to Statistical Consulting
(Additional courses to be offered by QAC such as Modeling Time Series Data, Experimental Design, Exploratory Data Analysis etc. )
The capstone Data Analysis Practicum that includes an ethics and epistemology seminar discussion as well as completing an independent data science project. 1

ADDITIONAL INFORMATION

Some of the courses that count toward the certificate may have a prerequisite, such as calculus. These prerequisites do not count toward the certificate, and students attempting to complete the certificate are not recused from these prerequisites.

Mathematics majors cannot count courses in the foundations groups already covered by their major toward the certificate. They must instead complete one course from the statistical foundations group and complete three applied elective courses. Alternatively to completing three applied elective courses, they can take either MATH232 or COMP212 and complete two applied elective courses.

Computer science majors cannot count courses in the foundations groups already covered by their major toward the certificate. They must instead complete one course from the statistical foundations group and complete three applied elective courses. Alternatively, they can complete both MATH231 and MATH232, and complete two applied elective courses.

It is strongly recommended that students who are not mathematics or computer science majors take courses in the computing foundations group to satisfy the certificate requirements. They can also substitute either MATH232 or COMP212 for one of their applied elective courses.

Economics majors and minors cannot count ECON300 toward the certificate and must instead complete one course from each of the other two foundation groups.

Students cannot count more than one course towards this certificate that also counts toward completion of any of their majors or minors.

Up to two courses taken elsewhere may substitute as appropriate for any of the above courses and count toward the certificate, subject to the QAC Advisory Committee’s approval (where routine approval may be delegated to the QAC director).

Students can substitute a course from among the applied data science and applied elective courses for the basic knowledge course, subject to approval.

Students cannot receive both the data analysis minor and the applied data science certificate.