Department of Mathematics and Statistics
Certificate of Graduate Study in Data Science
The Department offers a graduate certificate in Data Science for those candidates who are interested in attaining a working knowledge of methodologies in data science. Currently enrolled graduate students can apply for this certificate before they graduate from the degree program.
Program Goals: The certificate program addresses the growing demand of data scientists in the region. It equips students with the right blend of technical and analytical skills to meet the challenge of big data analytics. The program emphasizes technical proficiency and practical experience, and it provides students with advanced skills in data mining, statistics, machine learning, and database processing.
Learning Outcomes: Students who have completed the Certificate Program in Data Science will be able to conduct quality data science projects from research hypothesis formulation, data collection and management to analytical modeling and visualization, technical writing, as well as data product deployment.
A cumulative GPA of 3.0 or better is required in these courses, and they must be completed within six years of enrollment (which is defined as the date when the application for admission to the graduate certificate is accepted by the Graduate Committee). Courses taken for the certificate may also be used toward the master's degree in statistics, as long as they are completed within six years of enrollment in the graduate program (Master of Science in Statistics).
Students must take two foundation courses, choose at least two of three core methodology courses, and one (if necessary) from the elective courses to meet the credit requirements of the certificate program. Minimum number of credits required for the certificate: 15
Required Foundation Courses:
|STA 574 Statistical Programming||3|
|STA 585 Linear Models and Forecasting||3|
Choose at least two Core Methodology Courses from:
|STA 586 Predictive Modeling with Big Data||3|
|STA 588 Introduction to Statistical Data Mining||3|
|STA 596 Practical Data Science||3|
Choose one Elective from (if necessary):
|STA/OPR 561 Deterministic Models in Operations Research||3|
|STA 587 Categorical Data Analysis||3|
|COS 571 Advanced Database Systems||3|
|COS 572 Artificial Intelligence and Data Mining||3|
|COS 575 Machine Learning||3|
|MBA 677 Information Visualization||3|
|MBA 699 Special Topics - Data Analytics||3|
|MPH 675 Health Information Management||3|
Interested candidates should apply to the Graduate Admission Office and submit current vita, copies of all undergraduate and graduate transcripts, and at least one letter of recommendation. Applicants must hold a baccalaureate degree from an accredited institution with a cumulative GPA of 2.75 or higher, and they must have completed MAT 153, MAT 281, MAT 282, or their equivalents.