The B.S. in Data Science is an interdisciplinary program that requires a minimum of 120 hours of coursework and is designed to provide the combination of programming skills, mathematical and statistical expertise, and experience working with big data that is needed for a successful career in data science.  The program includes 17-20 credit hours of study in a specific area of concentration that includes working with and applying the results of the data analysis to solving real world problems. Students may choose to concentrate in public health data, astrophysics data, or environmental science data; minors in geographic information science and technology, economics, computer science and engineering or physics also constitute concentrations; students interested in other areas should consult with their advisor. Students interested in a concentration in mathematics or statistics should choose the BS in Mathematics with a Concentration in Data Science as their preferred program of study.

Questions regarding the program should be directed to Bill Kalies, Interdisciplinary Data Science Program Director and program advisor

Data Science-Astrophysics Concentration, BS 

Course List

Code	Title	Hours
MATH 1850	Single Variable Calculus I	4
MATH 1860	Single Variable Calculus II	4
MATH 2850	Elementary Multivariable Calculus	4
MATH 1890	Elementary Linear Algebra	3
MATH 3610	Statistical Methods I	3
MATH 3620	Statistical Methods II	3
MATH 4680	Introduction To Theory Of Probability	3
MATH 4690	Introduction To Mathematical Statistics	3
CSET 1100	Introduction to Computer Science and Engineering Technology	4
CSET 3300	Database-Driven Web Sites	4
EECS 1030	Introduction to Computer Science and Engineering	3
EECS 1510	Introduction To Object Oriented Programming	4
EECS 4750	Machine Learning	3
HHS 2500	Data Science I	3
HHS 4500	Data Science II	3
GEPL 4110	Geographic Information Systems	3
or EEES 4480	GIS Applications in ENSC
ECON 3810	Applied Econometrics	3
or ECON 4810	Econometrics Models And Methods I
ART 2800	Visual Literacy-Data Visualization	3
PHIL 3160	Data Science Ethics	3

Course List

Code	Title	Hours
Concentration in Astrophysics Data
ASTR 2020	Stars, Galaxies, And The Universe	3
ASTR 3880	Foundations of Astronomy	4
PHYS 2130	Physics For Science And Engineering Majors I	4
PHYS 2135	Physics for Science and Engineering Majors I - Lab	1
PHYS 2140	Physics For Science And Engineering Majors II	4
PHYS 2145	Physics for Science and Engineering Majors II - Lab	1
PHYS 3310	Modern Physics I	3

Data Science-Environmental Data Concentration, BS

Course List

Code	Title	Hours
MATH 1850	Single Variable Calculus I	4
MATH 1860	Single Variable Calculus II	4
MATH 2850	Elementary Multivariable Calculus	4
MATH 1890	Elementary Linear Algebra	3
MATH 3610	Statistical Methods I	3
MATH 3620	Statistical Methods II	3
MATH 4680	Introduction To Theory Of Probability	3
MATH 4690	Introduction To Mathematical Statistics	3
CSET 1100	Introduction to Computer Science and Engineering Technology	4
CSET 3300	Database-Driven Web Sites	4
EECS 1030	Introduction to Computer Science and Engineering	3
EECS 1510	Introduction To Object Oriented Programming	4
EECS 4750	Machine Learning	3
HHS 2500	Data Science I	3
HHS 4500	Data Science II	3
GEPL 4110	Geographic Information Systems	3
or EEES 4480	GIS Applications in ENSC
ECON 3810	Applied Econometrics	3
or ECON 4810	Econometrics Models And Methods I
ART 2800	Visual Literacy-Data Visualization	3
PHIL 3160	Data Science Ethics	3

Course List

Code	Title	Hours
Concentration in environmental data
EEES 2020	Introduction to the Environment: Energy and Climate	3
EEES 2030	Introduction to the Environment Land-Use and Water	3
or EEES 2200	Climate Change
Select one of the following course combinatioins:
EEES 2100 & EEES 1020	Fundamentals Of Geology and Introductory Geology Laboratory
EEES 3050 & EEES 3060	General Ecology and General Ecology Laboratory
EEES 4160	Environmental Data Management	3
EEES 4490	Remote Sensing of The Environment	4

Data Science-Individualized Concentration, BS

Course List

Code	Title	Hours
MATH 1850	Single Variable Calculus I	4
MATH 1860	Single Variable Calculus II	4
MATH 2850	Elementary Multivariable Calculus	4
MATH 1890	Elementary Linear Algebra	3
MATH 3610	Statistical Methods I	3
MATH 3620	Statistical Methods II	3
MATH 4680	Introduction To Theory Of Probability	3
MATH 4690	Introduction To Mathematical Statistics	3
CSET 1100	Introduction to Computer Science and Engineering Technology	4
CSET 3300	Database-Driven Web Sites	4
EECS 1030	Introduction to Computer Science and Engineering	3
EECS 1510	Introduction To Object Oriented Programming	4
EECS 4750	Machine Learning	3
HHS 2500	Data Science I	3
HHS 4500	Data Science II	3
GEPL 4110	Geographic Information Systems	3
or EEES 4480	GIS Applications in ENSC
ECON 3810	Applied Econometrics	3
or ECON 4810	Econometrics Models And Methods I
ART 2800	Visual Literacy-Data Visualization	3
PHIL 3160	Data Science Ethics	3

In addition, in an areas of study where an existing concentration in the data science major is not available, a related minor can be selected in consultation with the student’s academic advisor and the approval of the Data Analytics/Data Science Program Oversight Committee to fulfill the concentration requirement of the degree. For minors that are less than 18 credits, additional courses to equal at least 18 credits in the same discipline as the minor must be included. Courses selected within the minor must include at least two courses that focus on the collection, management and/or analysis of data in the minor. The following minors are already approved as meeting this requirement:
Minor in Geographic Information Science and Technology
Minor in Economics
Minor in Computer Science and Engineering
Minor in Physics

Students interested in a concentration in mathematics or statistics should choose the BS in Mathematics with a Concentration in Data Science as their preferred program of study.

Data Science-Public Health Data Concentration, BS

Course List

Code	Title	Hours
MATH 1850	Single Variable Calculus I	4
MATH 1860	Single Variable Calculus II	4
MATH 2850	Elementary Multivariable Calculus	4
MATH 1890	Elementary Linear Algebra	3
MATH 3610	Statistical Methods I	3
MATH 3620	Statistical Methods II	3
MATH 4680	Introduction To Theory Of Probability	3
MATH 4690	Introduction To Mathematical Statistics	3
CSET 1100	Introduction to Computer Science and Engineering Technology	4
CSET 3300	Database-Driven Web Sites	4
EECS 1030	Introduction to Computer Science and Engineering	3
EECS 1510	Introduction To Object Oriented Programming	4
EECS 4750	Machine Learning	3
HHS 2500	Data Science I	3
HHS 4500	Data Science II	3
GEPL 4110	Geographic Information Systems	3
or EEES 4480	GIS Applications in ENSC
ECON 3810	Applied Econometrics	3
or ECON 4810	Econometrics Models And Methods I
ART 2800	Visual Literacy-Data Visualization	3
PHIL 3160	Data Science Ethics	3

Course List

Code	Title	Hours
Concentration in public health
HEAL 2750	Introduction to Epidemiology	3
HEAL 2700	Introduction to Public Health	3
HEAL 3000	Global Health	3
HEAL 3500	Environmental Health	3
HEAL 3600	Prevention And Control Of Disease	3
HEAL 4800	Public Health Research And Statistics	3

DATA SCIENCE-ASTROPHYSICS CONCENTRATION, BS 

DATA SCIENCE-ENVIRONMENTAL DATA CONCENTRATION, BS

DATA SCIENCE-INDIVIDUALIZED CONCENTRATION, BS 

DATA SCIENCE-PUBLIC HEALTH DATA CONCENTRATION, BS

• PLO 1. Students will be able to explain and apply mathematical, statistical and computational principles to different data types collected from natural phenomena and human activities.
• PLO 2. Students will construct databases from data sets, manipulate and use them to extract meaningful answers to questions of interest in the natural sciences, human health or wellbeing.
• PLO 3. Students will be able to select and apply the appropriate computational algorithms, statistical software packages, and programming skills that based on the evaluation of a specific date set and problem under investigation.
• PLO 4. Students will be able to describe current issues in a disciplinary area in the natural sciences, human health or wellbeing that large data can provide insight into and apply the appropriate data analytics tools to their investigation.
• PLO 5.Students will describe and evaluate various social and ethical issues related to the collection, analysis and applications of data.
• PLO 6. Students will effectively communicate their work and results through written and/or oral presentations.

Honors in Data Science is available to students pursuing both a B.S. degree in Data Science and Honors through the Jesup Scott Honors College. To receive an undergraduate degree with Honors in Data Science, all requirements for the B.S. degree must be met, including at least 12 credit hours of Honors coursework in the major, with at least two Honors courses in the selected Data Science concentration. In addition, a project leading to a thesis under the direction of a research-active faculty member in the major or concentration in the major must be completed. Students are required to submit a written Honors Thesis to the program advisor before completion of their senior year.