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

651-700

601-800

574

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Shanghai Ranking

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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.