“Master in Data Science”的意思、由来-开放百科全书

A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured,^[1]^[2] similar to data mining.

Overview

As an area of expertise and field, data science is defined as a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data.^[3] It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.

The degree is relatively new, with graduate schools, business schools, and data science centers often housing the programs. Data science degree programs have emerged to address the growing and unique need for data scientists who can provide insight into multiple organizational issues and interests across several disciplines.

When Harvard Business Review called data scientist "The Sexiest Job of the 21st Century" the term became a buzzword,^[4] and is now often applied to business analytics, or even arbitrary use of data, or used as a term for statistics. While many university programs now offer a data science degree, there exists no consensus on a definition or curriculum contents.

Data scientist was listed as the "Best Job in America" for both 2016^[5] and 2017^[6] by employment website Glassdoor. It was also listed by Forbes as the top job for work-life balance.^[7]

Master in Data Science programs

Australia

United States

Canada

United Kingdom

Ireland

Germany

France

Denmark

India

References

1. ^{{Cite journal|last=Dhar|first=Vasant|date=December 2013|title=Data Science and Prediction|journal=Commun. ACM|volume=56|issue=12|pages=64–73|doi=10.1145/2500499|issn=0001-0782}}
2. ^{{Cite web|url=https://simplystatistics.org/2013/12/12/the-key-word-in-data-science-is-not-data-it-is-science/|title=The key word in "Data Science" is not Data, it is Science · Simply Statistics|website=simplystatistics.org|language=en|access-date=2017-06-28}}
3. ^{{Cite book|title=Data Science, Classification, and Related Methods|last=Hayashi|first=Chikio|date=1998|publisher=Springer, Tokyo|pages=40–51|language=en|doi=10.1007/978-4-431-65950-1_3|chapter = What is Data Science ? Fundamental Concepts and a Heuristic Example|series = Studies in Classification, Data Analysis, and Knowledge Organization|isbn = 978-4-431-70208-5}}
4. ^{{Cite news|url=https://www.forbes.com/sites/gilpress/2013/08/19/data-science-whats-the-half-life-of-a-buzzword/#4f8c2f527bfd|title=Data Science: What's The Half-Life Of A Buzzword?|last=Press|first=Gil|work=Forbes|access-date=2017-06-28}}
5. ^{{Cite web|url=https://www.glassdoor.com/List/Best-Jobs-in-America-2016-LST_KQ0,25.htm|title=Best Jobs in America 2016|website=Glassdoor|language=en|access-date=2017-06-28}}
6. ^{{Cite web|url=https://www.glassdoor.com/List/Best-Jobs-in-America-LST_KQ0,20.htm|title=Best Jobs in America|website=Glassdoor|language=en|access-date=2017-06-28}}
7. ^{{Cite web|url=https://www.forbes.com/pictures/fjle45heli/no-1-data-scientist/#2ec133993c93|title=No. 1 Data Scientist - pg.1|last=Dill|first=Kathryn|website=Forbes|access-date=2017-06-28}}