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  2. Statistics education - Wikipedia

    en.wikipedia.org/wiki/Statistics_education

    In the United States, a master program in statistics requires courses in probability, mathematical statistics, and applied statistics (e.g., design of experiments, survey sampling, etc.). For a doctoral degree in statistics, it has been traditional that students complete a course in measure-theoretic probability as well as courses in ...

  3. Master of Professional Studies - Wikipedia

    en.wikipedia.org/wiki/Master_of_Professional_Studies

    Master of Professional Studies (MPS) is a type of master's degree concentrated in an applied field of study. MPS degrees are often interdisciplinary.While Master of Arts and Master of Science degree programs tend to focus on theory and research, Master of Professional Studies degrees tend to emphasize practical skills designed for current and aspiring professionals, including post-bachelor and ...

  4. List of fields of application of statistics - Wikipedia

    en.wikipedia.org/wiki/List_of_fields_of...

    Operations research (or operational research) is an interdisciplinary branch of applied mathematics and formal science that uses methods such as mathematical modeling, statistics, and algorithms to arrive at optimal or near optimal solutions to complex problems; Management science focuses on problems in the business world.

  5. UC Berkeley College of Engineering - Wikipedia

    en.wikipedia.org/wiki/UC_Berkeley_College_of...

    Graduate admissions in the College of Engineering is administered by department. During the 2021/22 academic year, the college had 2,513 graduate students and awarded 228 masters and 244 doctorate degrees as well as 889 professional master's degrees. [1] [16] The college's enrollment is approximately 32% women.

  6. Master of Science in Business Analytics - Wikipedia

    en.wikipedia.org/wiki/Master_of_Science_in...

    A Master of Science in Business Analytics (MSBA) is an interdisciplinary STEM graduate professional degree that blends concepts from data science, computer science, statistics, business intelligence, and information theory geared towards commercial applications. Students generally come from a variety of backgrounds including computer science ...

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