Data Science BS with Computational Analytics Concentration

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 Computational Analytics provides a strong background in mathematics, algorithmic and computational thinking, computer systems, and data analysis, and will enable students to analyze large quantities of data to discover new knowledge and facilitate decision making.

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

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

Learn more about the Bachelor of Science in Data Science.

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

  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:
      CIS 3296Software Design3-4
      or ENG 2696 Technical Writing
      CIS 4496Projects in Data Science3
    • 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 (81-86 s.h.)
    At least 9 courses required for the major must be completed at Temple. At least 6 CIS courses must be completed at Temple.
    Introductory Science Requirements
    Must select either the Chemistry sequence or the Physics sequence8
    CHEM 1031
    & CHEM 1032
    & CHEM 1033
    & CHEM 1034
    		General Chemistry I
    and General Chemistry II
    and General Chemistry Laboratory I
    and General Chemistry Laboratory II
    CHEM 1951
    & CHEM 1952
    & CHEM 1953
    & CHEM 1954
    		Honors General Chemical Science I
    and Honors General Chemical Science II
    and Honors Chemical Science Laboratory I
    and Honors Chemical Science Laboratory II
    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 1041Calculus I4
    or MATH 1941 Honors Calculus I
    MATH 1042Calculus II4
    or MATH 1942 Honors Calculus II
    Math Methods in Computing Requirements
    CIS 1166Mathematical Concepts in Computing I4
    or CIS 1966 Honors Mathematical Concepts in Computing I
    CIS 2166Mathematical Concepts in Computing II4
    Probability and Statistics Requirements
    MATH 3031Probability Theory I3
    MATH 3032Mathematical Statistics3
    Programming Requirements
    CIS 1068Program Design and Abstraction4
    or CIS 1968 Honors Program Design and Abstraction
    CIS 2168Data Structures4
    Common Specialty Course Requirements
    CIS 3715Principles of Data Science4
    CIS 4496Projects in Data Science3
    Concentration Requirements
    CIS 2107Computer Systems and Low-Level Programming4
    CIS 3223Data Structures and Algorithms3
    CIS 4331Principles of Database Systems4
    CIS 4517Data-Intensive and Cloud Computing3
    CIS 4526Foundations of Machine Learning3
    Select one of the following:3-4
    CIS 3296
    		Software Design 1
    ENG 2696
    		Technical Writing
    MATH 2043Calculus III4
    or MATH 2943 Honors Calculus III
    Select one of the following:3-4
    MATH 2045
    		Differential Equations with Linear Algebra
    MATH 2101
    		Linear Algebra
    MATH 2103
    		Linear Algebra with Computer Lab
    Computational Analytics Elective Requirements
    Select from the following list:9-12
    BIOE 3301
    		Biomedical Signals and Systems
    CEE 3048
    		Probability, Statistics & Stochastic Methods
    CEE 3711
    		Environmental Engineering
    CEE 4221
    		Intelligent Transportation Systems
    CEE 4531
    		Life Cycle Assessment and Carbon Footprinting
    CIS 3203
    		Introduction to Artificial Intelligence
    CIS 3207
    		Introduction to Systems Programming and Operating Systems
    CIS 3219
    		Computer Graphics and Image Processing
    CIS 3381
    		Cooperative Education Experience in Computer Science 2
    CIS 3515
    		Introduction to Mobile Application Development
    CIS 3605
    		Introduction to Digital Forensics
    CIS 4282
    		Independent Study 2
    CIS 4382
    		Independent Study 2
    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
    EES 3011
    		Remote Sensing and GIS
    HCM 3501
    		Introduction to Health Services Systems
    MATH 3043
    		Numerical Analysis I
    MATH 3044
    		Numerical Analysis II
    MATH 4033
    		Probability Theory II
    MATH 4043
    		Applied Mathematics
    MKTG 3508
    		Digital Marketing (need permission to register)
    MKTG 3509
    		Customer Data Analytics (need permission to register)
    STAT 2522
    		Survey Design and Sampling
    STAT 2523
    		Design of Experiments and Quality Control
    STAT 3504
    		Time Series and Forecasting Models
    STAT 3506
    		Nonparametric and Categorical Data Analysis
    Total Credit Hours81-86
    1

    CIS 3296 has a prerequisite of CIS 3207.

    2

    A maximum of four credits from CIS 3381, CIS 4282 and/or CIS 4382 may be used to fulfill the Data Science elective requirement.

Suggested Academic Plan

Bachelor of Science in Data Science with Concentration in Computational Analytics

Suggested Plan for New Students Starting in the 2024-2025 Academic Year

Plan of Study Grid
Year 1
FallCredit 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
or ENG 0812
or ENG 0902
 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 Hours16
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 Hours14
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 Chemistry or Physics sequences: 4
CHEM 1031
& CHEM 1033
 General Chemistry I
and General Chemistry Laboratory I		  
CHEM 1951
& CHEM 1953
 Honors General Chemical Science I
and Honors Chemical Science Laboratory I		  
PHYS 1061
 Elementary Classical Physics I  
PHYS 1961
 Honors Elementary Classical Physics I  
PHYS 2021
 General Physics I  
PHYS 2921
 Honors General Physics I  
 Credit Hours16
Spring
CIS 2107 Computer Systems and Low-Level Programming 4
CIS 3223 Data Structures and Algorithms 3
CIS 3715 Principles of Data Science (S) 4
Select one of the following. Note: Must be continuation of the Chemistry or Physics course taken in prior semester: 4
CHEM 1032
& CHEM 1034
 General Chemistry II
and General Chemistry Laboratory II		  
CHEM 1952
& CHEM 1954
 Honors General Chemical Science II
and Honors Chemical Science Laboratory II		  
PHYS 1062
 Elementary Classical Physics II  
PHYS 1962
 Honors Elementary Classical Physics II  
PHYS 2022
 General Physics II  
PHYS 2922
 Honors General Physics II  
 Credit Hours15
Year 3
Fall
CIS 4331 Principles of Database Systems 4
MATH 3031 Probability Theory I 3
Select one of the following: 3-4
MATH 2045
 Differential Equations with Linear Algebra  
MATH 2101
 Linear Algebra  
MATH 2103
 Linear Algebra with Computer Lab (F)  
IH 0852
or IH 0952
 Intellectual Heritage II: The Common Good [GZ]
or Honors Intellectual Heritage II: The Common Good [GZ]
 3
Elective 3-2
 Credit Hours16
Spring
CIS 4517 Data-Intensive and Cloud Computing (S) 3
MATH 3032 Mathematical Statistics (S) 3
GenEd Breadth Course 3-4
GenEd Breadth Course 3
Elective 3
Elective 1-0
 Credit Hours16
Year 4
Fall
CIS 4526 Foundations of Machine Learning (F) 3
Data Science: Computational Analytics Elective 3-4
Data Science: Computational Analytics Elective 3-4
GenEd Breadth Course 3
Elective 3-1
 Credit Hours15
Spring
CIS 4496 Projects in Data Science [WI] 3
Select one of the following: 3-4
CIS 3296
 Software Design [WI] 1  
ENG 2696
 Technical Writing [WI]  
Data Science: Computational Analytics Elective 3-4
Elective 3
Elective 3-1
 Credit Hours15
 Total Credit Hours123
(F) - Fall only course
(S) - Spring only course
1

CIS 3296 has a prerequisite of CIS 3207.

Accelerated Programs

Students may opt to pursue an accelerated +1 program, enabling them to complete both a bachelor's degree and master's degree in less time than the traditional route.

The following accelerated programs may be of interest to students in the Data Science BS with Computational Analytics Concentration:

College of Science and Technology