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Data Science (Z104)   

Program Title and Classification

Data Science

Graduate Certificate Program

College: Computer, Mathematical, and Natural Sciences

Abstract

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. The Harvard Business Review has called “Data scientist” the “sexiest job of the 21st century”, and due to the growing need for data science, there is a significant shortage of trained data scientists.

 

Offered by the nationally ranked Department of Computer Science, the University of Maryland’s Graduate Certificate of 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.

Admissions Information

General Requirements:

Program-Specific Requirements:

  • Letters of Recommendation (2)
  • CV/Resume
  • Prior Coursework: Prior coursework establishing quantitative ability (i.e. calculus, linear algebra, basic statistics etc.)
  • Proficiency in programming languages: Proficiency in programming languages, demonstrated either through prior programming coursework or substantial software development experience.

*Visa Eligibility: This program is not eligible for I-20 or DS-2019 issuance by the University of Maryland.

Prior coursework establishing quantitative ability (i.e. calculus, linear algebra, basic statistics etc.), and proficiency in programming languages, demonstrated either through prior programming coursework or substantial software development experience, is required.

For more admissions information or to apply to the program, please visit our Graduate School website: www.gradschool.umd.edu/admissions

Application Deadlines

Type of Applicant Fall
Domestic Applicants:
US Citizens and Permanent Residents
26 July
International Applicants:
F (student) or J (exchange visitor) visas
A,E,G,H,I and L visas and immigrants.
26 July


Other Deadlines: Please visit the program website at http://ter.ps/datascience

Degree Requirements

Post-Baccalaureate Certificate (P.B.C.)

Total CreditsCore Requirements

12 credits required

CMSC 641: Principles of Data Science (3 credits)

CMSC 642: Big Data Systems (3 credits)

CMSC 643: Machine Learning and Data Mining (3 credits)

CMSC 644: Algorithms for Data Science (3 credits)

 

 

Financial Assistance

See: http://oes.umd.edu/professional-programs/data-science/data-fees-aid for information about fees, payment plans, and financial aid.

Website

http://ter.ps/datascience

Contacts

Amol Deshpande, Professor

3221 A.V. Williams Bldg

University of Maryland

College Park MD, 20742

Telephone: 301-539-9422

amol@cs.umd.edu

 

Associated Information

Courses

CMSC

Keywords

Data Science; Big Data; Data Analytics; Machine Learning; Data Mining; Predictive Analytics.