Master in Data Science
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.
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
United States
- Carnegie Mellon University
- Columbia University
- Cornell University
- Duke University
- Illinois Institute of Technology
- Indiana University, Bloomington
- Lewis University
- Merrimack College
- New York University
- North Carolina State University
- Rutgers University
- Southern Methodist University
- Stanford University
- Syracuse University
- University of California, Berkeley
- University of California, San Diego
- University of Illinois at Urbana-Champaign
- University of Minnesota - Twin Cities
- University of Southern California
- University of Virginia
- University of Washington - Seattle Campus
- University of Wisconsin
- Utica College
Canada
United Kingdom
- City University London
- Coventry University
- De Montfort University
- Goldsmiths, University of London
- Imperial College London
- Newcastle University
- Robert Gordon University
- Royal Holloway, University of London
- University College London
- University of Bristol
- University of Dundee
- University of East Anglia
- University of East London
- University of Essex
- University of Greenwich
- University of Liverpool
- University of Manchester
- University of St. Andrews
- University of Warwick
Ireland
France
- Data ScienceTech Institute
- Ecole Nationale de la Statisitique et de L'Analyse de L'Information
- Télécom Paris Tech
- Télécom SudParis
Denmark
- ^ Dhar, Vasant (December 2013). "Data Science and Prediction". Commun. ACM. 56 (12): 64–73. doi:10.1145/2500499. ISSN 0001-0782.
- ^ "The key word in "Data Science" is not Data, it is Science · Simply Statistics". simplystatistics.org. Retrieved 2017-06-28.
- ^ Hayashi, Chikio (1998). Data Science, Classification, and Related Methods. Springer, Tokyo. pp. 40–51. doi:10.1007/978-4-431-65950-1_3.
- ^ Press, Gil. "Data Science: What's The Half-Life Of A Buzzword?". Forbes. Retrieved 2017-06-28.
- ^ "Best Jobs in America 2016". Glassdoor. Retrieved 2017-06-28.
- ^ "Best Jobs in America". Glassdoor. Retrieved 2017-06-28.
- ^ Dill, Kathryn. "No. 1 Data Scientist - pg.1". Forbes. Retrieved 2017-06-28.