Data Science in University of Maryland, USA

Data Science in University of Maryland

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. It is making deep inroads in industry, government, health, and journalism. Due to the growing need for applying data science techniques in these and other domains, there is a significant shortage of trained data scientists. Data Science incorporates practices from a variety of fields in computer science, chiefly machine learning, statistics, databases, systems, algorithms, and visualization. The undergraduate data science specialization enables students to get the broad variety of skills needed to be successful data scientists.

Students looking to pursue the data science specialization are required to complete the lower level courses (MATH140, MATH141, CMSC131, CMSC132, CMSC216, CMSC250), the additional required courses (CMSC330, CMSC351, STAT400 and MATH240), and the upper level concentration requirements. The difference in the specialization is the upper level computer science courses.

Students must fulfill their computer science upper level course requirements from at least 3 areas. Students may fulfill an area requirement under the Upper Level Elective Courses requirement. Courses that fall within each area are listed in the CS Distributive Areas and Electives document.

The five areas are:

• Area 1: Systems;
• Area 2: Information Processing;
• Area 3: Software Engineering and Programming Languages;
• Area 4: Theory;
• Area 5: Numerical Analysis.

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