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Viewing: DATS 6450 : Topics in Data Science

Last approved: Wed, 20 May 2015 08:33:37 GMT

Last edit: Thu, 23 Apr 2015 23:06:03 GMT

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Columbian College of Arts and Sciences
Data Science (DATS)
Topics in Data Science
Topics in Data Science
Fall 2015
Course Type
Special Topics
Default Grading Method
Letter Grade
Intended primarily for students in the Data Science Master's and Certificate programs.
DATS 6101 Introduction to Data Science or permission of instructor.
Enrollment in a Data Science graduate program.
Larry Medsker and others depending on the specialization area of the particular topic.
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Term(s) Offered

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Fee Type


The purpose of DATS 6450 being a topics course is to respond to new ideas and issues in the rapidly evolving fields of Data Science and Big Data. Possible topics may include new application areas in Big Data, emerging new languages and development systems, and policy issues arising from impacts of Big Data on individuals and society.
As a result of successfully completing this course, students will be able to: 1. Discuss basic definitions, concepts, and examples relating to the topics begin studied. 2. Synthesize material from different subfields of data science in order to address current problems in data science; 3. Apply their knowledge of the tools and methods of data science to contemporary problems with which they do not have prior experience.
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The topics may be of interest to students in other courses, such as mathematics and statistics, but the emphasis is on specific areas in data science and Big Data applications.
Course Attribute

Key: 9864