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The program is ideal for recent university or college graduates of information technology, engineering, economics, and science, or working professionals in IT who wish to advance their career in data science or big data.
The School of Graduate & Professional Education offers graduate programs that demonstrate the critical link between learning and its application in the real world.
The MS in Data Science is a cutting-edge program that provides advanced knowledge and practical skills in the science of Big Data.
The program equips participants with a well-calibrated, theoretical, and practical synthesis of applied mathematics, computer science, statistics, and business information skills.
The program allows students to pursue the professional pathway, suitable for immediate professional application, or the research pathway, suitable for advanced graduate study and research.
With the generous support of several organizations, the Department is able to award 6-10 scholarships per year, usually ranging in value from $1,000 to $5,000. Applications are normally due in late spring, with awards given at the start of the following fall semester.
This is an introduction to mathematical methods used in studying problems of computer science. The topics covered include: mathematical logic; proof techniques, especially mathematical induction; set theory, functions, and relations; procedures, recursion, and operation counts; recurrence relations; analysis of algorithms; counting methods, permutations and combinations; graphs and trees.
This is the introduction to programming course in the computer science major and minor curriculum. Prior programming experience is not required, although some students have had some previous exposure to programming. It emphasizes object oriented programming style and methodology.
Introductory course in computer science and the study of algorithms appropriate for students in data-intensive disciplines. Topics include how computers work, simple algorithms and their efficiency, networking, databases, artificial intelligence, graphics, simulation and modeling, security and the social impact of computing.
Lab assignments explore a variety of software tools to support decision making with an emphasis on HTML and CSS for building web pages, a gentle introduction to JavaScript programming language to program web pages, spreadsheet advanced features and database management systems for data processing and querying. This course is not part of the computer science or informatics majors or minors.
Exploration of a single topic in a series of lectures by faculty presenting divergent perspectives, illuminates intellectual adventure inherent in liberal arts and sciences; encourages discovery of majors and other areas of study within the College of Liberal Arts and Sciences.
Introduction to computing for students seeking a broad overview of the discipline. Students acquire necessary concepts and skills to apply computing principles and resources effectively in their chosen profession. Topics include networking and communications, privacy, ethics and security, the limits of computing, and algorithmic problem solving.
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“I was shocked with just how easy it was for me to sit down and do my work,” Johnson says. “I think a lot of that comes from the military getting me used to taking orders and carrying them out.”
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