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New Jersey Institute of Technology

Newark, New Jersey, United States of America
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About

Data Science - Computational at New Jersey Institute of Technology at Main

The Master of Science - Data Science - Computational program's objectives are:

  • Provide training in three core components of data science: machine learning, big data analysis and programming for Data Science.
  • Provide training in applied statistics, particularly statistical inference.
  • Cover applications and contemporary topics in Data Science.

Learning outcomes will allow students to:

  • Apply statistical methods for decision making.
  • Build and analyze predictive models from data using machine learning and statistical inference.
  • Program Data Science applications in high-level languages such as Python and R.
  • Analyze large datasets using high-performance computing and distributed computing methods.
  • Compare the benefits and drawbacks of contemporary and advanced topics in Data Science.
  • Make informed architectural decisions based on a good understanding of how available technologies differ and complement each other and what scalability and consistency trade-offs they provide.
Level Masters
Discipline Computer Science and IT
Duration 24 months
Intakes Jan, Sep
Application Fees USD 75
Tuition Fees USD 30834
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 79
PTE Not Required / Waiver
Duolingo 120
Exam proficiency (minimum)
SAT Not Required / Waiver
ACT Not Required / Waiver
GRE Not Required / Waiver
GMAT Not Required / Waiver
Requirements

Minimum GPA - 77%

Rankings
QS Ranking 651-700
Times Higher Education 601-800
ARWU 574
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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