Graduate Certificate of Professional Studies in Data Science

What is Data Science?

Data Science is an emerging field encapsulating interdisciplinary activities used to create data-centric products, applications or programs that address specific scientific, socio-political, or business questions. Data Science is also commonly referred to as big data analytics, predictive analytics, advanced analytics, etc. It is making deep inroads in industry, government, health, and journalism, and many other disciplines.

Offered by the nationally ranked Department of Computer Science, the University of Maryland’s Graduate Certificate in Professional Studies in Data Science provides a broad introduction to the field of Data Science, including how to extract and clean data, how to store and manage large volumes of data, and how to analyze such data and extract insights from it. Data Science requires the ability to integrate data, operate on data at scale, analyze data, make predictions, find patterns, and form and test hypothesis. It incorporates practices from a variety of fields in computer science, chiefly Machine Learning, Statistics, Databases, and Visualization.

This 12-credit certificate evening program gives students the opportunity to learn the foundations of data science from our expert faculty, including computer science professors Amol Deshpande, Hal Daumé III, and Héctor Corrada Bravo.  They will teach courses in Machine Learning, Statistics, Databases, and Visualization.

 

Requirements

The Data Science program is a 12-credit program for working professionals. The courses will be offered in the evenings at the College Park campus, during the fall and spring semesters. The program may be completed in one year by taking two 3-credit courses each semester.

 

Students who successfully complete the program will be able to do the following:

 

  • Understand different components of the data science pipeline; understand and provide insights after working with unstructured, messy data; create specific requirements for a data-centric application that addresses a specific problem or questions
  • Know the key steps to acquire and integrate data; know how to do data cleaning, entity resolution, information extraction, and data integration
  • Decide which machine learning techniques are applicable to a particular problem and implement those techniques without a pre-built library
  • Decide which algorithms are applicable to their big data applications
  • Use a variety of statistical toolkits, software packages, and systems for processing and extracting insights from large volumes of data

 

Application

To Apply for the Fall 2017 Term, Follow Application Process Instructions from The Graduate School:

https://gradschool.umd.edu/computermathematicalnatural-sciences/z104

Questions?

Please email Professor Amol Deshpande: amol [at] cs.umd.edu

About The University of Maryland

Founded in 1856, University of Maryland, College Park is the flagship institution in the University System of Maryland. Our 1,250 acre College Park campus is minutes away from Washington, D.C., and the nexus of the nation's legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations offers unparalleled synergistic opportunities for our faculty and students. The Department of Computer Science at the University of Maryland has been consistently ranked among the top 15 nationally. We have 47 full time tenured and tenure track faculty in a wide variety of research areas, and over 200 doctoral students drawn from top undergraduate programs internationally.