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Data Science Degree Requirements - Fall 2020

The first computer science and math courses of the data science degree are almost identical to those of the computer science degree. They lay the foundation of basic principles and skills for the major. The first data science courses in the plan of study are taken in the sophomore year: CS 242, Introduction to Data Science, and STAT 355, Statistics for Data Science. In addition to the body of courses required of all College of Science students, data science majors will take courses in data mining and machine learning, data analytics, probability, and statistical theory. A capstone course or experience is also part of the data science major. Other computer science and statistics electives allow students to tailor the major to personal interests.

All beginning data science majors are required to take CS 19100, Freshman Resources Seminar and CS 19300, Tools. These are 1 credit courses that Computer Science students take in their first semester. Students are equally encouraged to take CS 29100, Sophomore Development Seminar, and CS 39100, Junior Resource Seminar.

Course Title Credits Semester
CS 18000 Problem Solving and Object-Oriented Programming 4 1
CS 18200 Foundations of Computer Science 3 2
CS 38003 Python Programming 1 2
CS 24200 Introduction to Data Science 3 3
STAT 35500 Statistics for Data Science 3 3
CS 25100 Data Structures & Algorithms 3 4
STAT 41600 Probability 3 4
CS 37300 Data Mining and Machine Learning 3 5
STAT 41700 Statistical Theory 3 5
CS 49000 LSDA Large Scale Data Analytics 3 7
CS 49000 DSC Data Science Capstone 0-3 8

Detailed Data Science Description and Plan of Study from the University Catalog

Data Science Electives

The Data Science major requires two additional CS elective courses, one STAT elective course, and one Ethics elective course beyond the requirements in the table above.  Required electives must be selected from the following tables.

Data Science Computer Science Electives Course Options (2)
Course Number Title Credits

CS 30700


CS 40800

Software Engineering I


Software Testing


CS 31400 Numerical Methods 3

CS 34800


CS 44800

Information Systems


Introduction to Relational Databases


CS 38100


CS 48300

Introduction to the Analysis of Algorithms


Introduction to the Theory of Computation


CS 35500 Introduction to Cryptography 3
CS 47100 Introduction to Artificial Intelligence 3
CS 47300 Web Information Search and Management 3
CS 49000 IDV Introduction to Data Visualization 3


Data Science Statistics Elective Course Options (1)
Course Number Title Credits
STAT 42000 Introduction to Time Series 3
MA/STAT 49000 Elementary Stochastic Processes 3
STAT 50600 Statistical Programming and Data Management 3
STAT 51200 Applied Regression Analysis 3
STAT 51300 Statistical Quality Control 3
STAT 51400 Design of Experiments 3
STAT 52200 Sampling and Survey Techniques 3
STAT 52500 Intermediate Statistical Methodology 3


Data Science Ethics Elective Course Options (1)
Course Number Title Credits
ILS 23000 Data Science & Society: Ethical, Legal, Social Issues 3
PHIL 20700 Ethics for Technology, Engineering, and Design 3
PHIL 20800 Ethics of Data Science 3


Unacceptable courses for credit for Data Science students in College of Science

Curriculum Resources

Data Science prerequisite flowchart (PDF)

Visit the Curriculum Resources page to find Sample Plans of Study. Courses do not need to be taken in sequential order as long as prerequisites and co-requisites are met.

Capstone Requirement

View details on the capstone requirement.

Last Updated: Mar 3, 2020 4:25 PM

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