Overview

The Bachelor of Science in Data Analytics at University of Dayton emphasizes hands-on experience with programming, databases, regression and machine learning. You'll graduate prepared for a career in data analytics, business intelligence or related fields, as well as for advanced study in data science and analytics.

Why Study Data Analytics at UD?

A Flexible, Interdisciplinary Pathway

You can tailor this major to your interests, such as biology, computer science, psychology, sustainability, engineering technology or the social sciences, to make analytics meaningful across disciplines.

Learning Through Real Work, Not Canned Examples

Courses integrate datasets from public agencies, scientific studies, online repositories and large-scale survey databases, so you'll gain experience working with the kinds of complex, imperfect data that professionals encounter.

Close Faculty Mentorship in a Small-Program Environment

You'll receive personalized guidance on projects, career development and undergraduate research, which are opportunities that are harder to access in larger analytics programs.

A Collaborative Dayton Ecosystem

UD's location within a growing analytics and technology hub provides access to internships, applied projects and partnerships with health networks, research institutes, manufacturing companies and nonprofit organizations.

Strong Preparation for Next Steps

You'll graduate with a solid foundation in statistical thinking, programming and responsible analytic practices. All of these skills support both immediate employment and further study.

Programme Structure

Courses include:

Data Manipulation & Management

Exploratory Data Analysis

Algorithms & Programming

Data Structures & Algorithms

Regression Models for Data Analytics
Machine Learning

Key information

Duration

Full-time
- 48 months

Start dates & application deadlines

Starting 2026-08-24 00:00:00
- Apply before 2026-05-01 00:00:00 , International
Starting 2027-01-11 00:00:00
- Apply before 2026-11-01 00:00:00

Language

English

Duolingo English Test

105

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TOEFL^® IBT

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PTE Academic

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IELTS

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Credits

120 SCH

Delivered

On Campus

Campus Location

Dayton, United States

Disciplines

Data Analytics View 280 other Bachelors in Data Analytics in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

105

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Application and Essay
Official Secondary Transcripts (in Language of Original Issue)
Post-Secondary Transcripts Evaluation (for Transfer Applicants)
Proof of English Proficiency
Financial Documentation
Immigration Documents

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

51910 USD / year

≈ 51910 USD / year
Out-of-State

51910 USD / year

≈ 51910 USD / year
Domestic

Applies to you

In-State

51910 USD / year

≈ 51910 USD / year

Living costs

Dayton

United States

880 - 1352 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Bachelor's scholarship opportunities for Data Analytics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

Why Study Data Analytics at UD?

A Flexible, Interdisciplinary Pathway

Learning Through Real Work, Not Canned Examples

Close Faculty Mentorship in a Small-Program Environment

A Collaborative Dayton Ecosystem

Strong Preparation for Next Steps

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Dayton

Funding

Scholarships Information

Available Scholarships

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