Data Analytics, BS
Turn careful data work into explanations that help people make decisions.

A good analysis starts with a better question.
Data Analytics brings statistical reasoning, programming and visual explanation together. You will work with the origin and structure of a dataset before choosing a model or deciding which chart should carry a finding.
Throughout the degree, a reproducible method is as important as a polished result. Your work should let another person see what changed, why a choice was made and how uncertainty affects the interpretation.
The degree in view
The BS requires 120 semester credits. The shared core connects your specialized study with writing, evidence, interpretation and public life. An adviser helps you choose electives that fit your interests without losing sight of the degree requirements.
Required courses
STAT150Introduction to Statistics
Summarize samples, explore variation and use elementary statistical inference in a reproducible analysis. 3 credits. Prerequisites: none.
MATH115Functions & Mathematical Models
Represent change with functions, interpret model assumptions and connect algebraic and graphical reasoning. 3 credits. Prerequisites: none.
COMP115Computational Thinking
Translate a problem into a sequence of operations and build small programs with readable structure and basic tests. 3 credits. Prerequisites: none.
DATA150Data in Context
Read data tables critically, document provenance and frame an answerable question. 3 credits. Prerequisites: none.
DATA220Data Preparation
Clean, join and validate data while keeping a readable record of transformations. 3 credits. Prerequisites: DATA150.
DATA310Statistical Modeling
Compare model assumptions, fit and uncertainty using interpretable examples and reproducible notebooks. 3 credits. Prerequisites: DATA220.
DATA410Data Visualization Studio
Develop charts and explanatory layouts, test their interpretation and revise for accessibility. 3 credits. Prerequisites: DATA310.
DATA490Analytics Capstone
Deliver an analysis with a documented dataset, reproducible method and audience-specific explanation. 3 credits. Prerequisites: DATA410.
A related-study pathway
One approved related-study pathway; the sample plan uses these six courses. Alternatives require an adviser-approved sequence with the same credit value.
An eight-semester example
The plan below completes prerequisites before the next sequenced course. Breadth electives come from outside the major division; free electives can support exploration or a coherent additional interest. Consult your adviser before changing a sequence.
| Semester | Courses and elective spaces | Credits |
|---|---|---|
| Year 1 · Fall | WRIT101, COMM105, STAT150, Breadth elective, Free elective | 15 |
| Year 1 · Spring | PHIL110, HIST120, MATH115, Breadth elective, Free elective | 15 |
| Year 2 · Fall | WRIT201, LIT130, COMP115, DATA150, Breadth elective | 15 |
| Year 2 · Spring | ARTS105, QUAN105, DATA220, ACSC150, Breadth elective | 15 |
| Year 3 · Fall | SCIE105, CIVI120, DATA310, BUSI150, Free elective | 15 |
| Year 3 · Spring | ETHI210, GLBL150, DATA410, ENVS150, Free elective | 15 |
| Year 4 · Fall | ACSC220, BUSI220, Free elective, Free elective, Free elective | 15 |
| Year 4 · Spring | DATA490, ENVS220, Free elective, Free elective, Free elective | 15 |
Work toward a capstone
A reproducible analysis, data dictionary and visual narrative for a defined decision.
Your proposal sets the scope, method and expected form of the final work. Scheduled reviews give you an opportunity to respond to feedback before a public presentation or exhibition.
A person to plan with

Dr. Priya Shah
Associate Professor, Data Analytics
Foundry Studios, Room 206
Community data, statistical reasoning and clear communication.
Start an advising conversationConsider your next direction
The degree can support junior technical or creative roles, project and portfolio-based work, graduate study in a related field. Career Studio can help you translate project work into a portfolio, a clear account of methods or the preparation for further study.
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