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7 Master's degrees in Statistics in New Jersey, United States
Transportation
The educational objectives of our Transportation program at New Jersey Institute of Technology are reflected in the achievements of our recent alumni.
Statistics
The Statistics Department offers the Statistics programme at Rutgers University. Upon completion of courses, the M.S. candidate must pass a written examination covering the basic material of taken course work. This exam is in two parts, with theory and applications tested separately. A student may attempt this exam no more than 4 times.
Data Science - Statistics
The M.Sc. in Data Science - Statistics at the New Jersey Institute of Technology offers a comprehensive curriculum designed to equip students with essential statistical and computational skills. This full-time programme provides an in-depth understanding of data analytics over a duration that enhances career readiness in various sectors.
Applied Statistics
The Master’s of Science program in Applied Statistics at New Jersey Institute of Technology prepares students for a range of professional activities as practicing statisticians.
Materials Science and Engineering - Materials Engineering
The Materials Science and Engineering - Materials Engineering Option is an interdisciplinary program from New Jersey Institute of Technology that applies the principles of basic sciences and engineering to understanding the behavior of materials, as well as development and applications.
Financial Technology and Analytics - Statistics (Dual)
Financial Technology and Analytics - Statistics (Dual) from Stevens Institute of Technology offer a highly-coordinated dual degree program in Statistics and Financial Technology and Analytics making you an expert in financial data analysis using technological tools and statistical methods.
Mathematics - Statistics
The Mathematics - Statistics programme at Rowan University is a comprehensive Master of Arts degree designed for advanced mathematical study. This 30-credit curriculum offers flexible study modes to suit professional interests in big data and analysis, preparing students for success in a technologically-driven society.