Tag: statistics

The Ohio State University – Undergraduate Data Analytics Major


From OSU: “Data analytics applies fundamental scientific principles to the analysis of large, complex data sets. This rapidly growing field needs practitioners with expertise that cuts across core disciplines of computer science, mathematics and statistics, and highly developed critical thinking, problem-solving and communication skills. Data analytics is a uniquely interdisciplinary major with academic partnerships rarely found in other majors. Data analytics majors receive a Bachelor of Science (BS) degree.”

University of Rochester – Master of Science in Data Science


From the University of Rochester: “The Goergen Insitute for Data Science offers a STEM-accredited MS program in data science. This program allows students to study the broad area of data science or to concentrate their studies in one of the following areas: Computational and statistical methods Health and biomedical sciences Business and social science The program can be completed in either one year or one and a half years of … Continue Reading

University of Rochester – Data Science Undergraduate Degree


From the University of Rochester: “The data science major combines computer science, statistics, and a student’s choice of advanced coursework in an application area, such as: Business Biology Earth and environmental science Political science” The program offers both a Bachelor of Arts and a Bachelor of Science degree path; BS students have to take three additional supplementary courses within the department. The degree program also includes a Capstone Project, through … Continue Reading

Smith College – Statistical & Data Sciences Program


From Smith: “The Statistical & Data Sciences (SDS) Program links faculty and students from across the College interested in learning things from data. At Smith, students learn statistics by doing–class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their interest in fields such as economics, psychology, political science, sociology, engineering, biology, environmental science, neuroscience, and geology. The Program is designed … Continue Reading

Johns Hopkins – Master of Science in Data Science


From Johns Hopkins: “The rigorous curriculum focuses on the fundamentals of computer science, statistics, and applied mathematics, while incorporating real-world examples. With options to study online and on-site in state-of-the-art facilities at the Johns Hopkins Applied Physics Laboratory, student learn from practicing engineers and data scientists. Graduates are prepared to succeed in specialized jobs involving everything from the data pipeline and storage, to statistical analysis and eliciting the story the … Continue Reading

How Not to Be Wrong: The Power of Mathematical Thinking


From Amazon: “The Freakonomics of math–a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands. The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur … Continue Reading

Georgia Tech – Master of Science in Analytics


From Georgia Tech: “The Master of Science in Analytics is an interdisciplinary degree program that leverages the strengths of Georgia Tech in statistics, operations research, computing, and business by combining the world-class expertise of the Scheller College of Business, the College of Computing, and the College of Engineering. By blending the strengths of these nationally ranked programs, graduates will learn to integrate skills in a unique and interdisciplinary way that … Continue Reading

Carnegie Mellon University – Master of Science in Machine Learning


From Carnegie Mellon: “The Machine Learning Department is made up of a multi-disciplinary team of faculty and students across several academic departments. Machine learning is dedicated to furthering the scientific understanding of automated learning, and to producing the next generation of tools for data analysis and decision making based on that understanding…. The MS in Machine Learning is ideal for students considering a career in industry or as preparation for … Continue Reading

Columbia University – Certification of Professional Achievement in Data Science

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From Columbia: “The Certification of Professional Achievement in Data Sciences prepares students to expand their career prospects or change career paths by developing foundational data science skills. Join us from anywhere in the world as this program is now also offered online.” Required/Core Courses: Algorithms for Data Science: Methods for organizing data, e.g. hashing, trees, queues, lists, priority queues. Streaming algorithms for computing statistics on the data. Sorting and searching. … Continue Reading

Stanford University – Master of Science in Statistics: Data Science


From Stanford: “The increasing importance of big data in engineering and the applied sciences motivates the Department of Statistics and ICME (Institute for Computational and Mathematical Engineering) to collaboratively offer a M.S. track that trains students in data science with a computational focus…. The Data Science track develops strong mathematical, statistical, computational and programming skill through the general master’s core and programming requirements, in addition to providing fundamental data science … Continue Reading