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Best Part time Masters of Science in the Richmond, USA 2019

A Master is a degree that demonstrates students have completed advanced studies in their field of training. This program is available for students with an undergraduate degree, and it often takes one to two years to complete.

Education in the United States is mainly provided by the public sector, with control and funding coming from three levels: state, local, and federal, in that order. The common requirements to study at a higher education level in United States will include your admissions essay (also known as the statement of purpose or personal statement), transcript of records, recommendation/reference letters, language tests

Richmond city, sited along the fall line of James River is the capital city of the state of Virginia, United States. Several higher education facilities serve the city. The city is famous for the well reputed technical colleges.

Part time Master of Science Program in the Richmond in the USA

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Master of Science in Information Systems

Virginia Commonwealth University School of Business
Campus Full time Part time September 2019 USA Richmond

The Master of Science program in Information Systems is designed to prepare students for specialized roles in information systems.

Master of Science in Business - Decision Analytics

Virginia Commonwealth University School of Business
Campus Full time Part time September 2019 USA Richmond

The Master of Science in Business with a Decision Analytics concentration provides students with knowledge of quantitative skills and experience in analyzing problems arising in a business environment.

Master of Science in Business - Finance

Virginia Commonwealth University School of Business
Campus Full time Part time September 2019 USA Richmond

The Master of Science in Business with a concentration in finance program is primarily designed for students who possess an undergraduate degree in business, although some well-prepared students may possess an undergraduate degree in economics or a technical background in mathematics or engineering.