Graduate Certificate in Data Science
Winter Term begins November 25, 2019. The registration deadline for domestic students is October 18, 2019.
Fall Term begins August 31, 2020. The registration deadline for international students is March 13, 2020. Domestic students should apply by July 1, 2020 for best consideration. The registration deadline for domestic students is July 31, 2020.
About the Program
Digital data is being generated at such a rapid pace, resulting in ‘Big Data’ and requiring new techniques for processing and analysis. Whether it’s called big data analytics, predictive analytics, or advanced analytics, Data Science is a growing, evolving field—and nearly every industry is in need of professionals who have the skills required to guide decision-making processes. The Graduate Certificate in Data Science (Data Science) provides an advanced introduction to this field, while also providing a strong foundation to develop further expertise in the future. Get a degree that provides you with the skills required to compete in this exciting career. Data Science is offered through the Department of Computer Science in the College of Computer, Mathematical and Natural Sciences.
Data Science provides a broad introduction to the field—including how to extract and clean data, store and manage large volumes of data, and analyze such data and extract insights from it. The program involves interdisciplinary activities that create data-centered products, applications or programs that help to answer scientific, socio-political or business questions. It requires the ability to integrate data, operate on data at scale, and analyze data to make predictions, find patterns and form and test hypothesis. Practices from a variety of fields are incorporated, including in computer science disciplines such as Machine Learning, Statistics, Databases, and Visualization.
Data Science is a 12-credit graduate program designed to accommodate working professionals while minimally disrupting personal and professional life. Instruction is provided by UMD faculty and experts in the field. The program features face-to-face instructional delivery; classes meet at the UMD College Park campus. Data Science uses the term academic calendar: in a 12-week term, students complete course work in 11 weeks; week 12 is reserved for finals.
Plan of Study & Courses
The Graduate Certificate in Data Science (Data Science) is a 12-credit (four 3-credit courses) program that provides a broad introduction to the field—including how to extract and clean data, store and manage large volumes of data, and analyze such data and extract insights from it.
Plan of Study:
Term 1: DATA602 Principles of Data Science
Term 2: DATA603 Principles of Machine Learning
Term 3: DATA605 Big Data Systems
DATA606 Algorithms for Data Science
Any student applying for admission to a graduate program at the University of Maryland must meet the following minimum admission criteria as established by the Graduate School.
Applicants must have earned a four-year baccalaureate degree from a regionally accredited U.S. institution, or an equivalent degree from a non-U.S. institution.
Applicants must have earned a 3.0 GPA (on a 4.0 scale) in all prior undergraduate and graduate coursework.
Applicants must provide an official copy of a transcript for all of their post-secondary work.
Statement of Purpose
TOEFL/IELTS/PTE (international graduate students)
Letters of Recommendation (2)
Graduate Record Examination (GRE) (optional)
Description of research/work experience
Prior coursework establishing quantitative ability (i.e. calculus, linear algebra, basic statistics, etc.)
Proficiency in programming languages, demonstrated either through prior programming coursework or substantial software development experience
Tuition and Fees