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Pace University

New York, United States of America
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Data Science at Pace University at New York

Pace University’s Master of Science in Data Science teaches students how to apply data science methods to different fields of interest. Students will have the opportunity to conduct original research across a broad range of topics, working directly with expert faculty and industry professionals. Students will gain the skills needed to use analytical programming languages, data science tools and applications, and, importantly, they’ll learn how to create knowledge from data. Knowledge based on facts is essential to successful decision-making in business, government, and even as individuals.

During their studies in the program, students will become familiar with both the underlying theory and practical techniques necessary to succeed in data science. Moreover, students will learn the ethical issues relevant to the design and execution of research studies. The program also integrates a research seminar so students will be aware of the latest advances in data science.
 

Level Masters
Discipline Computer Science and IT
Duration 24 months
Intakes Jan, Sep
Application Fees USD 0
Tuition Fees USD 25560
Campus New York
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 78
PTE 52
Duolingo 115
Exam proficiency (minimum)
SAT Not Required / Waiver
ACT Not Required / Waiver
GRE Not Required / Waiver
GMAT Not Required / Waiver
Requirements

Minimum GPA - 77.0%

Rankings
QS Ranking --
Times Higher Education --
ARWU 1287
Webometrics --
QS Ranking

QS Quacquarelli Symonds is the world’s leading provider of services, analytics, and insight to the global higher education sector, whose mission is to enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility, and career development.

THE Ranking

THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004. We create university rankings to assess university performance on the global stage and to provide a resource for readers to understand the different missions and successes of higher education institutions.

Shanghai Ranking

The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class Universities (CWCU), Graduate School of Education (formerly the Institute of Higher Education) of Shanghai Jiao Tong University, China, and updated on an annual basis

Webometrics Ranking

The "Webometrics Ranking of World Universities" is an initiative of the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain. CSIC is among the first basic research organizations in Europe. The CSIC consisted in 2006 of 126 centers and institutes distributed throughout Spain.

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