Undergraduate Programs

Bachelor of Science in Data Science

Students majoring in data science will have the formal foundation needed to understand the applicability and consequences of the various approaches to analyzing data with a focus on statistical modeling and machine learning. They will have the computing skills needed to ingest, manage and visualize data.

Additionally, they will be able to program on their own and use common libraries to implement solutions to solve data problems. They will have the experience of applying their knowledge and skills in a practical research or industrial setting.

This program of study is a collaboration between the Department of Mathematics and Statistics in Arts & Sciences and the Department of Computer Science & Engineering in the McKelvey School of Engineering.

Core Course Requirements (CR)
Math 1510	Calculus I (AP credit may satisfy this requirement)	3
Math 1520	Calculus II (AP credit may satisfy this requirement)	3
Math 2130	Calculus III	3
Math 3300	Matrix Algebra	3
SDS 3211	Statistics for Data Science I	3
SDS 4211	Statistics for Data Science II	3
SDS 4130	Linear Statistical Models	3
CSE 1301	Introduction to Computer Science (AP credit may satisfy this requirement)	3
CSE 2407	Data Structures and Algorithms	3
CSE 2107	Introduction to Data Science	3
CSE 3104	Data Manipulation and Management	3
CSE 4107 or ESE 4170 or SDS 4430	Introduction to Machine Learning Introduction to Machine Learning and Pattern Classification Statistical Learning	3

Each of these core courses must be passed with a grade of C- or better.

Electives (4 courses)

*At least one course from SDS (at the 400 level or above)

*At least one course from CSE (ending in S, T, M, or A)

*At most one course at the 200 level

Computer Science and Engineering

CSE 2307 Programming Tools and Techniques
CSE 2506 Introduction to Human-Centered Design
CSE 3050 Responsible Data Science (Cannot be double-counted in EPR)
CSE 3101 Introduction to Intelligent Agents Using Science Fiction
CSE 3407 Analysis of Algorithms
CSE 4101 AI and Society (Cannot be double-counted in EPR)
CSE 4102 Intro to Artificial Intelligence
CSE 4106 Data Science for Complex Networks
CSE 4107 Introduction to Machine Learning (Cannot be double-counted in CR)
CSE 4207 Cloud Computing
CSE 4305 Database Management Systems
CSE 4507 Introduction to Visualization
CSE 5104 Data Mining
CSE 5105 Bayesian Methods in Machine Learning
CSE 5107 Machine Learning
CSE 5108 Human-in-the-Loop Computation
CSE 5403 Algorithms for Nonlinear Optimization
CSE 5509 Computer Vision

Statistics and Data Science

SDS 3110 Biostatistics
SDS 4110 Experimental Design
SDS 4120 Survival Analysis
SDS 4392 Advanced Linear Statistical Models
SDS 4310 Bayesian Statistics
SDS 4430 Statistical Learning (Cannot be double-counted in CR)
SDS 4061 Time Series Analysis
SDS 4440 Mathematical Foundations of Big Data
SDS 4210 Statistical Computation
SDS 4020 Mathematical Statistics
SDS 4720 Stochastic Processes
SDS 4096 Topics in Statistics
SDS 5061 Theory Of Statistics I
SDS 5062 Theory Of Statistics II
SDS 5071 Advanced Linear Models I
SDS 5072 Advanced Linear Models II
SDS 5531 Advanced Statistical Computing I
SDS 5532 Advanced Statistical Computing II
SDS 5595 Topics in Statistics: Spatial Statistics
SDS 5800 Topics in Statistics
SDS 5805 Topics in Statistics

Mathematics

Math 4501 Numerical Applied Mathematics
Math 4502 Topics in Applied Mathematics
Math 4560 Topics in Financial Mathematics
Math 5047 Geometry/Topology III: Differential Geometry

Electrical & Systems Engineering

ESE 3590 Signals, Data and Equity
ESE 4031 Optimization for Engineered Planning, Decisions and Operations
ESE 4150 Optimization
ESE 4270 Financial Mathematics

Energy, Environmental & Chemical Engineering

EECE 2020 Computational Modeling in Energy, Environmental and Chemical Engineering

Linguistics

Ling 3250 Introduction to Computational Linguistics

Ethics and Professional Responsibility (EPR) 3 units

Ethics and Professional Responsibility (EPR)

Engr 4501	Engineering Ethics and Sustainability	1 unit
Engr 4502	Engineering Leadership and Team Building	1 unit
Engr 4503	Conflict Management and Negotiation	1 unit
Phil 2070	Business Ethics	3 units
Phil 3160	Classical Ethical Theories	3 units
Phil 4315	Normative Ethical Theory	3 units
PolSci 5305	Theories of Social Justice	3 units
CSE 3050	Responsible Data Science (Cannot be double-counted as an Elective)	3 units
CSE 4101	AI and Society (Cannot be double-counted as an Elective)	3 units
MSB 5560	Ethics in Biostatistics and Data Science	2 units

DS Practicum Requirement
3 units of an approved comprehensive data science project or experience. A practicum must be approved by the committee of data science faculty. The practicum experience should be completed the next-to-last semester of study (i.e., first semester senior year). It is important that practicum plans be submitted for review prior to starting the project or course work to ensure the proposed work is sufficient for the objectives of the practicum. After the fact approvals are possible but not guaranteed. Appropriate practicum work is possible via Independent Study (CSE 4001 or SDS 400), or via project-focused classes, including (but not limited to) CSE 4307 Software Engineering Workshop and CSE 4504 Software Engineering for External Client. Students should contact course instructors in advance to identify the degree of agency the student will have over project selection and requirements. Download the practicum form here and contact the Undergraduate Coordinator in the CSE department office (cody.copeland@wustl.edu) or the Math department office to initiate the approval process.

DS Practicum Requirement

3 units of an approved comprehensive data science project or experience. A practicum must be approved by the committee of data science faculty.

The practicum experience should be completed the next-to-last semester of study (i.e., first semester senior year). It is important that practicum plans be submitted for review prior to starting the project or course work to ensure the proposed work is sufficient for the objectives of the practicum. After the fact approvals are possible but not guaranteed.
Appropriate practicum work is possible via Independent Study (CSE 4001 or SDS 400), or via project-focused classes, including (but not limited to) CSE 4307 Software Engineering Workshop and CSE 4504 Software Engineering for External Client. Students should contact course instructors in advance to identify the degree of agency the student will have over project selection and requirements.
Download the practicum form here and contact the Undergraduate Coordinator in the CSE department office (cody.copeland@wustl.edu) or the Math department office to initiate the approval process.

Additional Departmental Requirements
CWP 100	College Writing I	3 units
Engr 3100	Technical Writing	3 units
Natural Sciences electives		8 units
Humanities and Social Sciences electives		18 units
Total Units		32

*The College Writing and Humanities and Social Sciences requirements are those required of all students in the McKelvey School of Engineering. The Natural Sciences requirement is for 8 units designated NSM (Natural Sciences and Mathematics) from any of the following departments: Anthropology; Biology; Chemistry; Earth, Environmental, and Planetary Sciences; Environmental Studies; or Physics. The College Writing and Natural Sciences courses must be completed with a grade of C- or better.

All courses taken to meet any of the above requirements (with the exception of the humanities and social sciences electives) cannot be taken on a pass/fail basis.

Sample Schedule starting in Year 1

Fall

Spring

Year 1

Math 131

CSE 131

Math 132

CSE 247

Year 2

Math 233

CSE 217A

Math 309

CSE 314A

Year 3

Math 3211

DS Elective 1

Ethics Course

Math 4211

Math 439

DS Elective 2

Year 4

CSE 417T (or Math 4601)

Practicum

DS Elective 3

DS Elective 4

Sample schedule starting in Year 2 (having credit already for Math 131 and CSE 131)

	Fall	Spring
Year 2	Math 132 CSE 247	Math 233 CSE 217A
Year 3	Math 309 Math 3211 CSE 314A	Math 4211 Math 439 Elective 1
Year 4	CSE 417T (or Math 460) Practicum Ethics	Elective 2 Elective 3 Elective 4