Master of Science in Business Intelligence and Analytics 24 months Postgraduate Programme By Stevens Institute of Technology |TopUniversities

Master of Science in Business Intelligence and Analytics

Programme Duration

24 monthsProgramme duration

Main Subject Area

Business and Management StudiesMain Subject Area

Programme overview

Main Subject

Business and Management Studies

Study Level

Masters

Survival in today's marketplace demands professionals who combine a passion for innovation with the ability to analyze and interpret large volumes of data. But few managers possess the technical training to successfully lead their organization's forays into technologies such as Twitter, Facebook and the Internet of Things. That leaves those companies unable to capitalize on the limitless opportunities available through such universally available tools and the endless data they provide. The Business Intelligence & Analytics Master's Degree program provides the analytical and professional skills necessary to take advantage of this data, to move organizations from the traditional mode of intuition-based decision-making to fact-based decision-making. The curriculum covers the concepts and tools at the forefront of the Big Data revolution: database management, data warehousing, data and text mining, social network analytics, optimization, risk analytics, and technologies such as Hadoop and data stream analytics. Upon earning their degrees, students will have completed a capstone course requiring them to work on a major project, using real data, under the guidance of an industry mentor. Coursework also emphasizes training in traditional business skills, such as oral and written communication skills, analytical thinking, and ethical reasoning. Concentrations: The master's program includes a concentration tailored to the career demands of students in data science. Data Science-This highly flexible concentration prepares students to become specialists in the highly in-demand field of data science. Working with their advisor, students select between two and four courses offered in the Computer Science, Financial Engineering and Mathematics departments at Stevens.

Programme overview

Main Subject

Business and Management Studies

Study Level

Masters

Survival in today's marketplace demands professionals who combine a passion for innovation with the ability to analyze and interpret large volumes of data. But few managers possess the technical training to successfully lead their organization's forays into technologies such as Twitter, Facebook and the Internet of Things. That leaves those companies unable to capitalize on the limitless opportunities available through such universally available tools and the endless data they provide. The Business Intelligence & Analytics Master's Degree program provides the analytical and professional skills necessary to take advantage of this data, to move organizations from the traditional mode of intuition-based decision-making to fact-based decision-making. The curriculum covers the concepts and tools at the forefront of the Big Data revolution: database management, data warehousing, data and text mining, social network analytics, optimization, risk analytics, and technologies such as Hadoop and data stream analytics. Upon earning their degrees, students will have completed a capstone course requiring them to work on a major project, using real data, under the guidance of an industry mentor. Coursework also emphasizes training in traditional business skills, such as oral and written communication skills, analytical thinking, and ethical reasoning. Concentrations: The master's program includes a concentration tailored to the career demands of students in data science. Data Science-This highly flexible concentration prepares students to become specialists in the highly in-demand field of data science. Working with their advisor, students select between two and four courses offered in the Computer Science, Financial Engineering and Mathematics departments at Stevens.

Admission Requirements

7+
Other English Language Requirements accepted: TOEFL with a minimum score of 550(paper-based)and a computer-based TOEFL score of 210. 

2 Years
Jan-2000

Domestic
0 USD
International
0 USD

Scholarships

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