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Learn more about the Bachelor of Science in Data Science.

Data Science is an interdisciplinary field of study about methods and systems to extract knowledge or insights from large quantities of data coming in various forms. Temple's B.S. in Data Science is designed for students interested in developing expertise in data science. The Computation and Modeling concentration provides the tools necessary to create accurate, robust, and detailed models of real systems in a scientific or professional field. A strong core of mathematics, physics, computational methods and techniques, and data analysis will enable students to model any complex physical system. Elective courses will allow students to specialize in a specific area of interest.

Undergraduate Contact Information:

Department of Computer and Information SciencesDr. Jamie Payton, ChairScience Education and Research Center, Room 304215-204-8450

Dr. Gene Kwatny, Vice ChairScience Education and Research Center, Room 304215-204-8450

Dr. Anthony Hughes, Faculty AdvisorScience Education and Research Center, Room 344215-204-7910anthony.hughes@temple.edu

Department of PhysicsDr. Bernd Surrow, ChairScience Education and Research Center, Room 406215-204-7736

Dr. Adrienn Ruzsinszky, Vice ChairScience Education and Research Center, Room 708215-204-8479

Dr. Matthew Newby, Faculty AdvisorScience Education and Research Center, Room 476215-204-2642matthew.newby@temple.edu

Students must complete all University requirements including those listed below.

All Temple students must take a minimum of two writing-intensive courses at Temple as part of their major. The specific writing-intensive course options for this major are:

45 Upper Level (2000+) credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), or the College of Engineering (ENG).

90 credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), or the College of Engineering (ENG).

All students in the College of Science and Technology are required to take a one credit first year seminar. SCTC1001 CST First Year Seminar is the appropriate course option for every entering first year CST major. Transfer students should use SCTC2001 CST Transfer Seminar to fulfill this requirement. Other courses that fulfill this requirement may be found on the CST College Requirements page.

Courses listed under the major requirements for the degree will be included in the calculation of the major GPA. Courses that could not apply toward the major as an elective or a required course are not counted in the calculation of the major GPA.

To graduate with Distinction in Major, students are required to have a 3.50 or higher grade point average (GPA) both in the major and overall, as well as be recommended by the department of Computer & Information Sciences.

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Data Science with Concentration in Computation and Modeling, B.S ...