Bachelor of Science, Data Science (Plan of Study)

Concentrations in Advanced Topics, Big Data Analytics, Intelligent Mobility, and Quantitative Economics and Econometrics

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See the Data Science Degree Flowchart for further degree planning details.
See also the Bachelor of Science, Data Science (Program Description) .

**Course offering frequency subject to change**

Flowchart Use Recommended for Degree Planning
Data Science Degree Flowchart

Freshman Year

Semester 1

MAC 2311 - Analytic Geometry and Calculus 1 Credits: 4
CHM 2045 - Chemistry 1 Credits: 3
CHM 2045L - Chemistry 1 Laboratory Credits: 1
ENC 1101 - English Composition 1: Expository and Argumentative Writing Credits: 3
IDS 1380 - Foundational Lessons in Applications of MathEmatics Credits: 3
EGN 1006 - Career Design for STEM Disciplines Credits: 1

Total Semester Credits: 15

Semester 2

MAC 2312 - Analytic Geometry and Calculus 2 Credits: 4
PHY 2048 - Physics 1 Credits: 3
PHY 2048L - Physics 1 Laboratory Credits: 1
ENC 2210 - Technical Writing Credits: 3
COP 2271 - Introduction to Computation and Programming Credits: 3
EGN 1007 - Concepts and Methods for Engineering and Computer Science Credits: 1

Total Semester Credits: 15

Sophomore Year

Semester 1

PHY 2049 - Physics 2 Credits: 3
PHY 2049L - Physics 2 Laboratory Credits: 1
COP 3337 - Object Oriented Programming Credits: 3
COP 3353 - Introduction to Unix Credits: 2
STA 2023 - Statistics 1 Credits: 3
ISC 2310 - Python for Data Analytics Credits: 3

Total Semester Credits: 15

Semester 2

MAS 3114 - Computational Linear Algebra Credits: 3
ECO 2023 - Principles of Microeconomics Credits: 3
MAD 2104 - Discrete Mathematics Credits: 3
COP 2073 - Introduction to Data Science Credits: 3
COP 3710 - Database 1 Credits: 3

Total Semester Credits: 15

Junior Year

Semester 1

COP 3530 - Data Structures & Algorithms Credits: 3
STA 3036 - Probability and Statistics for Business, Data Science, and Economics Credits: 3
IDC 3180 - Contemporary Issues and Case Studies in Data Science Credits: 3
IDS 2144 - Legal, Ethical, and Management Issues in Technology Credits: 3
IDS 4941 - Professional Experience Internship Credits: 0
Data Science Concentration Course: Credits: 3

Total Semester Credits: 15

Semester 2

EGN 3448 - Operations Research Credits: 3
STA 3241 - Statistical Learning Credits: 3
CTS 2375 - Cloud Infrastructure and Services Credits: 3
STA 4853 - Time Series Analysis for Business, Data Science, and Economics Credits: 3
Data Science Concentration course or program elective: Credits: 3

Total Semester Credits: 15

Senior Year

Semester 1

IDC 4942 - Data Analytics Capstone I Credits: 3
CAP 4770 - Data Mining & Text Mining Credits: 3
Data Science Concentration Course or program elective - Credits: 3

Data Science Concentration Course or program elective - Credits: 3

Social Science Course - Credits: 3

Total Semester Credits: 15

Semester 2

IDC 4943 - Data Analytics Capstone II Credits: 3
CAP 4793 - Advanced Data Science Credits: 3
CAP 4612 - Machine Learning Credits: 3
Data Science Concentration course or program elective Credits: 3
Select any Arts and Humanities or Social Science courses: Credits: 3

Total Semester Credits: 15

Concentrations

Students select one concentration from Big Data Analytics, Health Systems Engineering, Intelligent Mobility, or Quantitative Economics & Econometrics for twelve hours of credit.

Advanced Topics

Select 12 credits from Data Science elective or concentration courses.

Big Data Analytics

Students in Big Data Analytics learn to collect, manage, and optimize large-scale structured and unstructured data sets to facilitate information and decision-making. Students in Big Data Analytics develop a strong foundation in essential programming skills, quantitative analysis, and hardware and software solutions for facilitating effective use of big data.

COP 3729 - Database 2 Credits: 3
CAP 4786 - Topics in Big Data Analytics Credits: 3
Select two courses from the following:
CAP 3774 - Data Warehousing Credits: 3
CAP 4410 - Computer Vision Credits: 3
CAP 4613 - Applied Deep Learning Credits: 3

Intelligent Mobility & Autonomous Systems

Intelligent Mobility uses data and technology to connect people, places, and goods across all transportation modes. Growth in intelligent mobility will transform the way people travel, interact with their environment, and connect goods and services.

Required:
ESI 4513 - Intelligent Mobility Credits: 3
Choose two or three from the following:
ESI 4011 - Data Analytics for Smart City & Transportation Credits:
ESI 3005 - Introduction to Networks and a Connected World Credits: 3
COP 4421 - Autonomous Systems Programming Credits: 3
CAP 4613 - Applied Deep Learning Credits: 3
Possible Elective (maximum of one may be taken):
MAN 4593 - National Transportation Management Credits: 3
AVM 3012 - Air Transportation and Operations Credits: 3
CAP 4410 - Computer Vision Credits: 3
CEN 4721 - Human Computer Interaction Credits: 3

Quantitative Economics & Econometrics

Quantitative Economics and Econometrics focuses on quantitative analysis and rigorous modeling of economic phenomena. This includes analysis of individual and firm decisions when data is messy, incomplete, or otherwise imperfect, analysis of strategic situations, and analysis of market outcomes and trends. Training in Quantitative Economics and Econometrics hones critical reasoning skills and prepares students for analytical careers or for graduate or professional study.

ECO 4400 - Game Theory and Strategic Decisions Credits: 3
ECO 4422 - Econometrics: Causal Inference, Panel and Survey Data Credits: 3
ECP 3004 - Contemporary Economic Issues Credits: 3
ECP 4044 - Economic Analysis for Technologists Credits: 3

Data Science Electives

ENT 2112 - Entrepreneurial Opportunity Analysis Credits: 3
ECP 4031 - Benefit Cost Analysis Credits: 3
EGS 3625 - Engineering & Technology Project Management Credits: 3
CEN 3033 - Secure Software Engineering Credits: 3
CEN 4721 - Human Computer Interaction Credits: 3
COP 4520 - Introduction to Parallel and Distributed Computing Credits: 3
CAP 4630 - Artificial Intelligence Credits: 3
CNT 4403 - Data Security Credits: 3
Any DSBA concentration course outside of a pursued concentration.

Arts, Humanities, and Social Sciences

Note: Data Science majors select 12 credits from Art and Humanities and Social Sciences.

Arts and Humanities

Select 6 credits from the following courses. At least 3 credits must come from the University required list.

University required, one from the following:
ARH 2000 - Art Appreciation Credits: 3
HUM 2020 - Introduction to the Humanities Credits: 3
LIT 2000 - Introduction to Literature Credits: 3
PHI 2010 - Introduction to Philosophy Credits: 3
HUM 2022 - Explorations in the Humanities Credits: 3
MUL 2010 - Music Appreciation Credits: 3
Program Required:
IDS 2144 - Legal, Ethical, and Management Issues in Technology Credits: 3

Social Sciences

Select 6 credits. ECO 2023 is already in the plan of study, so students must choose at least 3 credits from the University required list to fulfill the Social Sciences requirement. Unless the Civic Literacy requirement has been fulfilled separately, students must take AMH 2020. If Civic Literacy has been fulfilled separately from AMH 2020, students must take a course from the required list and an additional AMH course.

University required, one from the following:
AMH 2020 - American History Since 1877 Credits: 3 (Fulfills Civic Literacy Requirement)
ECO 2013 - Principles of Macroeconomics Credits: 3
PSY 2012 - General Psychology Credits: 3
Program required:
ECO 2023 - Principles of Microeconomics Credits: 3

Bachelor of Science, Data Science (Plan of Study)

Concentrations in Advanced Topics, Big Data Analytics, Intelligent Mobility, and Quantitative Economics and Econometrics

Freshman Year

Semester 1

Total Semester Credits: 15

Semester 2

Total Semester Credits: 15

Sophomore Year

Semester 1

Total Semester Credits: 15

Semester 2

Total Semester Credits: 15

Junior Year

Semester 1

Total Semester Credits: 15

Semester 2

Total Semester Credits: 15

Senior Year

Semester 1

Total Semester Credits: 15

Semester 2

Total Semester Credits: 15

Concentrations

Advanced Topics

Big Data Analytics

Intelligent Mobility & Autonomous Systems

Quantitative Economics & Econometrics

Data Science Electives

Arts, Humanities, and Social Sciences

Arts and Humanities

Social Sciences

Total Degree Credits: 120