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 and
- 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.
Undergraduate Contact Information
Department of Computer and Information Sciences
Jamie Payton, Chair
Science Education and Research Center, Room 304
215-204-8450
Gene Kwatny, 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
Bernd Surrow, Chair
Science Education and Research Center, Room 406
215-204-7736
Adrienn Ruzsinszky, Vice Chair
Science Education and Research Center, Room 708
215-204-8479
Matthew Newby, Faculty Advisor
Science Education and Research Center, Room 476
215-204-2642
matthew.newby@temple.edu
These requirements are for students who matriculated in academic year 2024-2025. Students who matriculated prior to fall 2024 should refer to the Archives to view the requirements for their Bulletin year.
Bachelor of Science Requirements
Summary of Requirements for the Degree
- 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.
- 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.
- 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).
- 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 Elementary Classical Physics I
and Elementary Classical Physics IIHonors Elementary Classical Physics I
and Honors Elementary Classical Physics IIGeneral Physics I
and General Physics IIHonors General Physics I
and Honors General Physics IICalculus 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 I 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 4 CIS 4496 Projects in Data Science 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 Differential Equations with Linear Algebra Linear Algebra Linear Algebra with Computer Lab 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 4 Computation and Modeling Elective Requirements Select from the following list: 9-12 Probability, Statistics & Stochastic Methods Computer Graphics and Image Processing Knowledge Discovery and Data Mining or CIS 5523Knowledge Discovery and Data Mining Analysis and Modeling of Social and Information Networks or CIS 5524Analysis and Modeling of Social and Information Networks Foundations of Machine Learning Remote Sensing and GIS Mathematical Modeling and Simulation Numerical Analysis II Probability Theory II Partial Differential Equations Applied Mathematics Introduction to Numerical Analysis Classical Mechanics Analytical Mechanics Electricity and Magnetism Classical Electromagnetism Introduction to Quantum Mechanics I Thermal Physics Optics Introduction to Solid State Physics Introduction to Quantum Mechanics II Undergraduate Research (max of 3 credits across all independent study) 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 2024-2025 Academic Year
Year 1 | ||
---|---|---|
Fall | Credit Hours | |
CIS 1068 or CIS 1968 | Program Design and Abstraction or Honors Program Design and Abstraction | 4 |
MATH 1041 or MATH 1941 | Calculus I or Honors Calculus I | 4 |
SCTC 1001 | CST First Year Seminar | 1 |
ENG 0802 | Analytical Reading and Writing [GW] or Analytical Reading and Writing: ESL [GW] or Honors Analytical Reading and Writing [GW] | 4 |
GenEd Breadth Course | 3 | |
Credit Hours | 16 | |
Spring | ||
CIS 1166 or CIS 1966 | Mathematical Concepts in Computing I or Honors Mathematical Concepts in Computing I | 4 |
MATH 1042 or MATH 1942 | Calculus II or Honors Calculus II | 4 |
IH 0851 or IH 0951 | Intellectual Heritage I: The Good Life [GY] or Honors Intellectual Heritage I: The Good Life [GY] | 3 |
GenEd Breadth Course | 3 | |
Credit Hours | 14 | |
Year 2 | ||
Fall | ||
CIS 2166 | Mathematical Concepts in Computing II | 4 |
CIS 2168 | Data Structures | 4 |
MATH 2043 or MATH 2943 | Calculus III or Honors Calculus III | 4 |
Select one of the following: | 4 | |
Elementary Classical Physics I | ||
Honors Elementary Classical Physics I | ||
General Physics I | ||
Honors General Physics I | ||
Credit Hours | 16 | |
Spring | ||
CIS 3223 | Data Structures and Algorithms | 3 |
CIS 3715 | Principles of Data Science (S) | 4 |
Select one of the following; must be continuation of prior Physics course: | 4 | |
Elementary Classical Physics II | ||
Honors Elementary Classical Physics II | ||
General Physics II | ||
Honors General Physics II | ||
PHYS 2511 | Scientific Computing I | 1.5 |
IH 0852 or IH 0952 | Intellectual Heritage II: The Common Good [GZ] or Honors Intellectual Heritage II: The Common Good [GZ] | 3 |
Credit Hours | 15.5 | |
Year 3 | ||
Fall | ||
MATH 3031 | Probability Theory I | 3 |
Select one of the following: | 3-4 | |
Differential Equations with Linear Algebra | ||
Linear Algebra | ||
Linear Algebra with Computer Lab (F) | ||
PHYS 3511 | Scientific Computing II | 1.5 |
GenEd Breadth Course | 3-4 | |
GenEd Breadth Course | 3 | |
Elective | 2-0 | |
Credit Hours | 15.5 | |
Spring | ||
MATH 3032 | Mathematical Statistics (S) | 3 |
PHYS 2502 | Mathematical Physics (S) | 4 |
PHYS 2796 | Introduction to Modern Physics [WI] (S) | 4 |
GenEd Breadth Course | 3 | |
Elective | 1 | |
Credit Hours | 15 | |
Year 4 | ||
Fall | ||
MATH 3043 | Numerical Analysis I (F) | 4 |
Data Science: Computation & Modeling Elective | 3-4 | |
Data Science: Computation & Modeling Elective | 3-4 | |
Elective | 3 | |
Elective | 3-1 | |
Credit Hours | 16 | |
Spring | ||
CIS 4496 | Projects in Data Science [WI] | 3 |
Data Science: Computation & Modeling Elective | 3-4 | |
Elective | 3 | |
Elective | 3 | |
Elective | 3-2 | |
Credit Hours | 15 | |
Total Credit Hours | 123 |
Code | Title | Credit Hours |
---|---|---|
(F) - Fall only course | ||
(S) - Spring only course |