Online Bachelor's Degree

Data Science

DEGREE AT A GLANCE

120 credits
Transfer up to 90 credits
All courses available online
Select hybrid courses available

TUITION RATES

$324 per credit (in-state)
$499 per credit (out-of-state)
$250 per credit (military)
Other fees may apply

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The online bachelor's in data science at University of Maryland Global Campus is designed to meet the growing need for highly skilled professionals who can transform data into actionable insights. You'll have the opportunity to gain hands-on experience with frequently used analytical tools and methods, manage and manipulate data, create data visualizations, build predictive models using different machine learning techniques, apply artificial intelligence (AI) and natural language processing techniques to gain insights from free text, images, and videos, and make strategic data-driven recommendations that directly impact business outcomes.

Courses
Requirements
Sequence
More Info

(3 Credits, STAT 200)
(3 Credits, DATA 230)
(3 Credits, DATA 300)
(3 Credits, CSIA 300)
(3 Credits, DATA 320)
(3 Credits, IFSM 330)
(3 Credits, DATA 335)
(3 Credits, DATA 430)
(3 Credits, DATA 440)
(3 Credits, DATA 445)
(3 Credits, DATA 450)
(3 Credits, DATA 460)
(3 Credits, DATA 495)

Related Required Courses

The following required courses may be applied to general education requirements:

(3 Credits, DATA 200)
(3 Credits, MATH 115) or a more advanced MATH course

Sequence	Course	Requirement(s) Fulfilled
1	(3 Credits, PACE 111T)	General Education: Research & Computing Literacy
2	(1 Credit, LIBS 150)	General Education: Research & Computing Literacy
3	(3 Credits, WRTG 111)	General Education: Communication
4	(3 Credits, MATH 115)	General Education: Math; Related Requirement
5	(3 Credits, DATA 200)	General Education: Research & Computing Literacy; Related Requirement
6	(3 Credits, NUTR 100)	General Education: Biological & Physical Sciences
7	(1 Credit, NUTR 101)	Elective
8	(3 Credits, STAT 200)	Major
9	(3 Credits, SPCH 100)	General Education: Communication
10	(3 Credits, DATA 230)	Major
11	(3 Credits, WRTG 112)	General Education: Communication
12	(3 Credits, DATA 300)	Major
13	(3 Credits, HIST 125)	General Education: Arts & Humanities
14	(4 Credits, NSCI 103)	General Education: Biological & Physical Sciences
15	(3 Credits, BEHS 103)	General Education: Behavioral & Social Sciences
16	(3 Credits, ARTH 334)	General Education: Arts & Humanities
17	3-credit elective course	Elective
18	(3 Credits, ECON 103)	General Education: Behavioral & Social Sciences
19	(3 Credits, CSIA 300)	Major
20	3-credit elective course	Elective
21	(3 Credits, DATA 320)	Major
22	3-credit elective course	Elective
23	(3 Credits, IFSM 330)	Major
24	3-credit elective course	Elective
25	(3 Credits, DATA 335)	Major
26	(3 Credits, WRTG 393)	General Education: Communication
27	3-credit elective course	Elective
28	(3 Credits, DATA 430)	Major
29	3-credit elective course	Elective
30	3-credit elective course	Elective
31	(3 Credits, DATA 440)	Major
32	3-credit elective course	Elective
33	(3 Credits, DATA 445)	Major
34	3-credit elective course	Elective
35	3-credit elective course	Elective
36	(3 Credits, DATA 450)	Major
37	3-credit elective course	Elective
38	3-credit elective course	Elective
39	(3 Credits, DATA 460)	Major
40	3-credit elective course	Elective
41	(3 Credits, DATA 495)	Major

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Search Course Catalog

These requirements are for students who enroll in the 2025–2026 academic year. For prior year requirements, visit our catalog archive.

Read the Catalog

Bachelor’s Degree Requirements

In addition to the specific course requirements outlined on each bachelor’s degree webpage, UMGC maintains certain requirements for all bachelor’s degrees.

See Degree Requirements

Program Highlights

Develop skills and gain knowledge through coursework that draws from the expertise and experience of our respected faculty.

Communicate Effectively

Meet expectations for content, purpose, organization, audience, and format.

Implement Methodology

Implement data science methodology including data extraction and cleaning.

Execute Best Practices

Use diverse technologies in machine learning and artificial intelligence.

Evaluate a Business Problem

Translate a business problem into a viable project.

Deploy Machine Learning

Build and deploy the machine learning process throughout its life cycle.

Leverage AI Technology

Leverage big data analytics and AI technology to create solutions.

Industry Snapshot

Through hands-on experience with a variety of ubiquitous analytical tools and methods, this program will help prepare you to become a highly skilled professional who can transform large amounts of data into actionable insights.