Quantitative Analysis Center

About the Certificate

Link to WesMaps Courses

To earn the applied data science certificate, students must complete eight graded courses:

  • One course from among the following basic knowledge courses: 
    • MATH132 Elementary Statistics
    • PHYS/QAC 221 Modeling and Data Analysis: From Molecules to Markets
    • PSYC200 Statistics: An Activity-Based Approach
    • QAC 201 Applied Data Analysis
    • QAC 211 Digging the Didgital Era: A Data Science Primer
  • Two courses from among the following mathematical, statistical and computing foundation courses, each from a different group:

    • Mathematical foundations 
      • MATH221 Vectors and Matrices
      • MATH223 Linear Algebra
      • MATH228 Discrete Math
    • Statistical foundations 
      • ECON300 Quantitative Methods in Economics
      • GOVT367/QAC 302 Political Science by the Numbers
      • MATH231 An Introduction to Probability
      • MATH232 Mathematical Statistics
    • Computing foundations 
      • BIOL265 Bioinformatics Programming
      • COMP112 Introduction to Programming
      • COMP211 Computer Science I
      • COMP212 Computer Science II
  • Two courses from among the following from among the following applied data science courses:
    • QAC 251 Data Visualization
    • QAC 385 Applications of Machine Learning in Data Analysis
    • QAC 386 Quantitative Textual Analysis: Introduction to Text Mining
  • Two credits from among the following applied electives: 
    • E&ES322 Introduction to GIS
    • E&ES/QAC 344 Advanced GIS and Spacial Analyses
    • ECON282 Economics of Big Data
    • ECON385 Econometrics
    • ECON386 Introduction to Forecasting in Economics and Finance
    • GOVT366 Empirical Methods for Political Science
    • GOVT378 Advanced Topics in Media Analysis
    • PHYS340 Computational Physics: Algorithms and Clusters
    • PSYC385 Applied Quantitative Methods in Survey Research
    • QAC 231 Introduction to (Geo) Spatial Data Analysis and Visualization
    • QAC 241 Introduction to Network Analysis
    • QAC 251 Data Visualization: An Introduction
    • QAC 311 Longitudinal Data Analysis (.5 credit)
    • QAC 312 Hierarchical Linear Models (.5 credit)
    • QAC 313 Latent Variable Analysis (.5 credit)
    • QAC 314 Survival Analysis (.5 credit)
    • QAC 323 Bayesian Data Analysis: A Primer (.5 credit)
    • QAC 380 Introduction to Statistical Consulting
    • Additional .5 credit courses to be offered by the QAC starting in 2016-17, such as Modeling Time Series Data, Experimental Design etc.
  • The capstone one-credit Data Analysis Practicum that includes an ethics and epistemology seminar discussion as well as completing an independent data science project

  • Additional Information 

    • Some of the courses that count toward the certificatemay 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 232, 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 MATH 232 or COMP 212 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.