Overview

Science and technology are the foundations of our future. The Department of Computer and Information Sciences (CIS) is focused on the understanding of fundamental scientific principles and the application of these principles to solving complex problems, using computing technology.

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. The Bachelor of Science in Data Science is designed for students interested in developing expertise in data science.

Data Science students must select one of the following concentrations:

• Computation and Modeling
• Computational Analytics
• Genomics and Bioinformatics

The Concentration in Computation and Modeling 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.

Campus Location: Main

Program Code: ST-DTSC-BS

Distinction in Major

To graduate with distinction in this major, a student must satisfy the following criteria:

• have a minimum 3.50 major GPA
• have a minimum 3.50 cumulative GPA

Accelerated Programs

Accelerated programs provide a pathway for students to pursue both an undergraduate degree and an advanced degree in a shorter amount of time. Below is a list of available accelerated programs for students in the BS in Data Science.

• BS in Data Science / MS in Computational Data Science

Undergraduate Contact Information

Department of Computer and Information Sciences
Yu Wang, Chair
Science Education and Research Center, Room 304
215-204-8450

John Fiore, Vice Chair
Science Education and Research Center, Room 304
215-204-8450

Andrew Rosen, Faculty Advisor
Science Education and Research Center, Room 349
215-204-3193
andrew.rosen@temple.edu

Department of Physics

Maria Iavarone, Chair
Science Education and Research Center, Room 440
215-204-5442

Matthew Newby, Faculty Advisor
Science Education and Research Center, Room 476
215-204-2642
matthew.newby@temple.edu

Learn more about the Bachelor of Science in Data Science.

These requirements are for students who matriculated in academic year 2025-2026. Students who matriculated prior to fall 2025 should refer to the Archives to view the requirements for their Bulletin year.

Bachelor of Science Requirements

Summary of Requirements for the Degree

1. University Requirements (123 total s.h.)
   • Students must complete all University requirements including those listed below.
   • All undergraduate students must complete at least two writing-intensive courses for a total of at least six credits at Temple as part of their major. The specific writing-intensive course options for this major are:

     Course List

     Code	Title	Credit Hours
     PHYS 2796	Introduction to Modern Physics	4
     CIS 4496	Projects in Data Science	3

   • Students must complete the General Education (GenEd) requirements.
     • See the General Education section of the Undergraduate Bulletin for the GenEd curriculum.
     • Students who complete CST majors receive a waiver for 2 Science & Technology (GS) and 1 Quantitative Literacy (GQ) GenEd courses.
   • Students must satisfy general Temple University residency requirements.
2. College Requirements
   • A minimum of 90 total credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), and/or the College of Engineering (ENG).
     • A minimum of 45 of these credits must be upper-level (courses numbered 2000 and above).
   • Complete a one-credit first-year or transfer seminar.
     • SCTC 1001 CST First-Year Seminar for every entering first-year CST student.
     • SCTC 2001 CST Transfer Seminar for every entering transfer CST student.
3. Major Requirements for Bachelor of Science (79-83 s.h.)
   At least 9 courses required for the major must be completed at Temple. At least 4 CIS courses must be completed at Temple.

   Course List

   Code	Title	Credit Hours
   Introductory Science Requirements
   Select one of the following sets:		8
   PHYS 1061 & PHYS 1062	Elementary Classical Physics I and Elementary Classical Physics II
   PHYS 1961 & PHYS 1962	Honors Elementary Classical Physics I and Honors Elementary Classical Physics II
   PHYS 2021 & PHYS 2022	General Physics I and General Physics II
   PHYS 2921 & PHYS 2922	Honors General Physics I and Honors General Physics II
   Calculus Requirements
   MATH 1041	Calculus I	4
   or MATH 1941	Honors Calculus I
   MATH 1042	Calculus II	4
   or MATH 1942	Honors Calculus II
   Math Methods in Computing Requirements
   CIS 1166	Mathematical Concepts in Computing I	4
   or CIS 1966	Honors Mathematical Concepts in Computing I
   CIS 2166	Mathematical Concepts in Computing II	4
   Probability and Statistics Requirements
   MATH 3031	Probability Theory	3
   MATH 3032	Mathematical Statistics	3
   Programming Requirements
   CIS 1068	Program Design and Abstraction	4
   or CIS 1968	Honors Program Design and Abstraction
   CIS 2168	Data Structures	4
   Common Specialty Course Requirements
   CIS 3715	Principles of Data Science (S)	4
   CIS 4496	Projects in Data Science (WI)	3
   Concentration Requirements
   CIS 3223	Data Structures and Algorithms	3
   MATH 2043	Calculus III	4
   or MATH 2943	Honors Calculus III
   Select one of the following:		3-4
   MATH 2101	Linear Algebra
   MATH 2103	Linear Algebra with Computer Lab (F)
   MATH 3043	Numerical Analysis I	4
   PHYS 2511	Scientific Computing I	1.5
   PHYS 3511	Scientific Computing II	1.5
   PHYS 2502	Mathematical Physics	4
   PHYS 2796	Introduction to Modern Physics (WI)	4
   Computation and Modeling Elective Requirements
   Select from the following list:		9-12
   CEE 3048	Probability, Statistics & Stochastic Methods
   CIS 3219	Computer Graphics and Image Processing
   CIS 4523	Knowledge Discovery and Data Mining
   or CIS 5523	Knowledge Discovery and Data Mining
   CIS 4524	Analysis and Modeling of Social and Information Networks
   or CIS 5524	Analysis and Modeling of Social and Information Networks
   CIS 4526	Foundations of Machine Learning
   EES 3011	Remote Sensing and GIS
   MATH 2121	Mathematical Modeling and Simulation
   MATH 3044	Numerical Analysis II
   MATH 4033	Stochastic Processes
   MATH 4041	Partial Differential Equations
   MATH 4043	Applied Mathematics
   MATH 5043	Numerical Analysis
   PHYS 2101	Classical Mechanics
   PHYS 3101	Analytical Mechanics
   PHYS 3301	Electricity and Magnetism
   PHYS 3302	Classical Electromagnetism
   PHYS 3424	Introduction to Astrophysics
   PHYS 3701	Introduction to Quantum Mechanics I
   PHYS 4101	Thermal Physics
   PHYS 4302	Optics
   PHYS 4502	Theoretical/Computational Materials Science
   PHYS 4511	Scientific Computing III
   PHYS 4701	Introduction to Solid State Physics
   PHYS 4702	Introduction to Quantum Mechanics II
   PHYS 4091	Undergraduate Research (max of 3 credits across all independent study)
   MATH 4082	Senior Individual Study (max of 3 credits across all independent study)
   Total Credit Hours		79-83

Suggested Academic Plan

Bachelor of Science in Data Science with Concentration in Computation and Modeling

Suggested Plan for New Students Starting in the 2025-2026 Academic Year