Data Science with Concentration in Computational Analytics, B.S.
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 Computational Analytics concentration 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.
Undergraduate Contact Information
Dr. Slobodan Vucetic, Chair
Science Education and Research Center, Room 304
2152048450
Dr. Gene Kwatny, Vice Chair
Science Education and Research Center, Room 304
2152048450
Dr. Anthony Hughes, Faculty Advisor
Science Education and Research Center, Room 344
2152047910
anthony.hughes@temple.edu
Bachelor of Science
Summary of Requirements for the Degree
 University Requirements (123 total s.h.)

MATH 0701 (4 s.h.) and/or ENG 0701 (4 s.h.), if required by placement testing.

All Temple students must take a minimum of two writingintensive courses at Temple as part of their major: ENG 2696 and SCTC xx96.
 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 typically 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

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

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

 Major Requirements for Bachelor of Science (8182 s.h.)
At least 9 courses required for the major must be completed at Temple. At least 7 CIS courses must be completed at Temple.Course List Code Title Credit Hours Introductory Science Requirements Must select either the Chemistry sequence or the Physics sequence 8 General Chemistry I
and General Chemistry II
and General Chemistry Laboratory I
and General Chemistry Laboratory IIHonors General Chemical Science I
and Honors General Chemical Science II
and Honors Chemical Science Laboratory I
and Honors Chemical Science Laboratory IIElementary 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 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 CIS 2168 Data Structures 4 Common Specialty Course Requirements CIS 3715 Principles of Data Science 4 SCTC xx96 (Advanced Data Visualization) 3 Concentration Requirements CIS 2107 Computer Systems and LowLevel Programming 4 CIS 3223 Data Structures and Algorithms 3 CIS 4331 Principles of Database Systems 4 CIS 4517 DataIntensive and Cloud Computing 3 CIS 4526 Foundations of Machine Learning 3 ENG 2696 Technical Writing 3 MATH 2043 Calculus III 4 or MATH 2943 Honors Calculus III Select one of the following: 34 Differential Equations with Linear Algebra Linear Algebra Linear Algebra with Computer Lab Computational Analytics Elective Requirements Select from the following list: 9 Biomedical Signals and Systems Probability, Statistics & Stochastic Methods Environmental Engineering Intelligent Transportation Systems Life Cycle Assessment and Carbon Footprinting Introduction to Artificial Intelligence Introduction to Systems Programming and Operating Systems Computer Graphics and Image Processing Introduction to Mobile Application Development Introduction to Digital Forensics Knowledge Discovery and Data Mining or CIS 5523Knowledge Discovery and Data Mining Analysis and Modeling of Social and Information Networks Remote Sensing and GIS Introduction to Health Services Systems Numerical Analysis I Numerical Analysis II Probability Theory II Applied Mathematics Digital Marketing (need permission to register) Customer Data Analytics (need permission to register) Survey Design and Sampling Design of Experiments and Quality Control Time Series and Forecasting Models Nonparametric and Categorical Data Analysis Total Credit Hours 8182
Calculation of Major GPA
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.
Distinction in Major
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.
Suggested Academic Plan
Bachelor of Science in Data Science with Concentration in Computational Analytics
Requirements for New Students starting in the 20182019 Academic Year
Year 1  

Fall  Credit Hours  
CIS 1068 or 1968  Program Design and Abstraction  4 
MATH 1041 or 1941  Calculus I  4 
General Education/Elective Credits  7  
Term Credit Hours  15  
Spring  
CIS 1166 or 1966  Mathematical Concepts in Computing I  4 
MATH 1042 or 1942  Calculus II  4 
General Education/Elective Credits  7  
Term Credit Hours  15  
Year 2  
Fall  
CIS 2166  Mathematical Concepts in Computing II  4 
CIS 2168  Data Structures  4 
MATH 2043 or 2943  Calculus III  4 
Select one of the following Chemistry or Physics sequences:  4  
General Chemistry I  
Honors General Chemical Science I  
Elementary Classical Physics I  
Honors Elementary Classical Physics I  
General Physics I  
Honors General Physics I  
Term Credit Hours  16  
Spring  
CIS 2107  Computer Systems and LowLevel 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  
General Chemistry II  
Honors General Chemical Science II  
Elementary Classical Physics II  
Honors Elementary Classical Physics II  
General Physics II  
Honors General Physics II  
Term Credit Hours  15  
Year 3  
Fall  
CIS 4331  Principles of Database Systems (F)  4 
MATH 3031  Probability Theory I  3 
Select one of the following:  34  
Differential Equations with Linear Algebra (F)  
Linear Algebra  
Linear Algebra with Computer Lab (F)  
General Education/Elective Credits  65  
Term Credit Hours  16  
Spring  
CIS 4517  DataIntensive and Cloud Computing (S)  3 
MATH 3032  Mathematical Statistics (S)  3 
General Education/Elective Credits  9  
Term Credit Hours  15  
Year 4  
Fall  
CIS 4526  Foundations of Machine Learning (F)  3 
Data Science: Computational Analytics Elective  3  
Data Science: Computational Analytics Elective  3  
General Education/Elective Credits  7  
Term Credit Hours  16  
Spring  
SCTC xx96  (S)  3 
ENG 2696  Technical Writing [WI]  3 
Data Science: Computational Analytics Elective  3  
General Education/Elective Credits  6  
Term Credit Hours  15  
Total Credit Hours:  123 
Code  Title  Credit Hours 

(F)  Fall only course  
(S)  Spring only course 