Students earning a BS in data science will gain a wide variety of skills needed to work with many different types of data, and to analyze, visualize, and extract useful information from data in a variety of ways. They will apply those skills in various contexts, especially during their capstone consulting class. The program includes courses from Mathematics, Statistics and Computer Science.

Curriculum

Course List

Code	Title	Hours
Math Requirements
MATH 161	Calculus I	4
MATH 162	Calculus II	4
MATH 212	Linear Algebra	3
STATS Requirements
STAT 203	Introduction to Probability & Statistics	3
STAT 308	Applied Regression Analysis	3
STAT 310	Categorical Data Analysis	3
Select six credits of STAT 300-level electives 1		6
Computer Science Requirements
COMP 141	Introduction to Computing Tools and Techniques	3
COMP 215 / MATH 215	Object Oriented Programming with Mathematics	3
COMP 231	Data Structures & Algorithms for Informatics	3
COMP 353	Database Programming	3
Select six credits of COMP 300-level electives		6
Data Science Core
DSCI 101	Fundamentals of Modern Data Science with R	3
STAT 338	Predictive Analytics	3
or COMP 379	Machine Learning
COMP 317	Social, Legal, and Ethical Issues in Computing	3
COMP 358	Big Data Analytics (capstone)	3
STAT 370	Data Science Consulting (capstone)	3
Total Hours		59

¹

Excluding STAT 335 Introduction to Biostatistics and STAT 337 Quantitative Methods in Bioinformatics

Suggested Sequence of Courses

The below sequence of courses is meant to be used as a suggested path for completing coursework.  An individual student’s completion of requirements depends on course offerings in a given term as well as the start term for a major or graduate study.  Students should consult their advisor for assistance with course selection.

Plan of Study Grid

Year 1
Fall		Hours
DSCI 101	Fundamentals of Modern Data Science with R	3
MATH 161	Calculus I	4
	Hours	7
Spring
COMP 141	Introduction to Computing Tools and Techniques	3
MATH 162	Calculus II	4
	Hours	7
Year 2
Fall
MATH 212	Linear Algebra	3
COMP 215 / MATH 215	Object Oriented Programming with Mathematics	3
	Hours	6
Spring
COMP 231	Data Structures & Algorithms for Informatics	3
STAT 203	Introduction to Probability & Statistics	3
	Hours	6
Year 3
Fall
STAT 308	Applied Regression Analysis	3
COMP 353	Database Programming	3
	Hours	6
Spring
COMP 300-level Course		3
STAT 300-level Course		3
COMP 317	Social, Legal, and Ethical Issues in Computing	3
	Hours	9
Year 4
Fall
STAT 388 or COMP 379	Topics or Machine Learning	3
STAT 370	Data Science Consulting	3
STAT 300-level Course		3
	Hours	9
Spring
COMP 358	Big Data Analytics	3
STAT 310	Categorical Data Analysis	3
COMP 300-level Course		3
	Hours	9
	Total Hours	59

College of Arts and Sciences Graduation Requirements

All Undergraduate students in the College of Arts and Sciences are required to take two Writing Intensive courses (6 credit hours) as well as complete a foreign language requirement at 102-level or higher (3 credit hours) or a language competency test.  More information can be found here.

Additional Undergraduate Graduation Requirements

All Undergraduate students are required to complete the University Core, at least one Engaged Learning course, and UNIV 101.  SCPS students are not required to take UNIV 101.  Nursing students in the Accelerated BSN program are not required to take core or UNIV 101.  You can find more information in the University Requirements area.

learning outcomes

• The ability to manage large data sets in preparation for data science analysis 
• A working knowledge of traditional statistical techniques and the ability to apply these methods to a wide array of real-world problems 
• The ability to perform a data science analysis from beginning to end while adhering to the principles of reproducible research  
• The ability to program in both the R and Python programming languages