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Master of Science in Data Analytics

The George Washington University - School of Engineering & Applied Science


Sitz

USA (Vereinigte Staaten von Amerika)

Studienformat

Campus

Kurssprache

Englisch

Studienbereiche

Statistik, Informatik & Informatikwissenschaft, Datenwissenschaft

Dauer

1 Jahr 6 Monate

Studienrhythmus

Vollzeit, Teilzeit

Niveau

Master of Science (MSc)

Studiengebühren

Infos anfordern

Beschreibung des Programms

Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering, the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.

Through courses led by top faculty members at the School of Engineering & Applied Science and the School of Business , this program is conducted in small cohorts and covers topics in computer science, business analytics and systems engineering while focusing on the foundations of analytics from a technical engineering perspective.

Students choose from two tracks : Computer Science or Engineering Management & Systems Engineering.

Informationen über das Institut

There are plenty of good engineering schools in the U.S., but how far can well take you when your goal is to engineer better? At the George Washington University's School of Engineering and Applied Science, students work with professors at the top of their fields and gain access to innovative resources in one of most dynamic, research-driven centers in the world. We offer master's, Ph.D., and certificate programs across a wide range of engineering and technological fields, including:

  • Biomedical engineering
  • Civil and environmental engineering
  • Computer engineering
  • Computer science
  • Construction Engineering
  • Cybersecurity in computer science
  • Data analytics
  • Electrical engineering
  • Engineering management
  • Mechanical and aerospace engineering
  • Regulatory biomedical engineering
  • Systems engineering

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