BFA in Creative Writing/Accelerated MS in Data Analytics Engineering 24 months Postgraduate Programme By George Mason University |TopUniversities

BFA in Creative Writing/Accelerated MS in Data Analytics Engineering

Subject Ranking

# 201-250QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Main Subject Area

Communication and Media StudiesMain Subject Area

Programme overview

Main Subject

Communication and Media Studies

Study Level

Masters

BFA is structured to give students ample opportunity to learn to write and think creatively while also developing vocational writing skills, skills that are desperately needed in the workplace. Students, while undertaking an intensive course of study in their genre, would also take courses such as Digital Writing and Professional and Technical Writing. The MS in Data Analytics Engineering is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business intelligence and other information intensive groups generating and consuming large amounts of data. The focus of the degree is on the technologies and methodologies of data analytics and areas of expertise within the Volgenau School of Engineering.

Programme overview

Main Subject

Communication and Media Studies

Study Level

Masters

BFA is structured to give students ample opportunity to learn to write and think creatively while also developing vocational writing skills, skills that are desperately needed in the workplace. Students, while undertaking an intensive course of study in their genre, would also take courses such as Digital Writing and Professional and Technical Writing. The MS in Data Analytics Engineering is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business intelligence and other information intensive groups generating and consuming large amounts of data. The focus of the degree is on the technologies and methodologies of data analytics and areas of expertise within the Volgenau School of Engineering.

Admission Requirements

6.5+
Other English Language requirements: Students are required to have paper-based TOEFL of 570 and 230 on the computer-based TOEFL ; overall band score of 59 on the Pearson Test of English.

2 Years
Jan-2000

Domestic
0 USD
International
0 USD

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