Bachelor of Science
Data Science
Data Science
Bachelor of ScienceAT A GLANCE
- 120 credits
- Transfer up to 90 credits
- All courses are available online
- Select on-site and hybrid courses available
TUITION
- $250 per credit hour
(Europe & Downrange)
See our Tuition Rates page for details.
Next Session Starts
December 14Acquire skills in data science that will help you adapt to future changes in the marketplace.
The 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
- Vertical Pathway
Total Credits Required: 120
- Required Major Courses: 36
- Minor and Elective Courses: 43
- General Education Courses: 41
Required Major Courses
- (3 Credits, STAT 200)
- (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
- (3 Credits, DATA 200)
- (4 Credits, MATH 140)
UMGC outlines the options available to fulfill the 41 credits of general education coursework for a bachelor's degree in Data Science.
Research and Computer Literacy Courses
(3 Credits, PACE 111M)
or
(3 Credits, PACE 111C)
or other PACE 111 course (to be taken in first 6 credits)
(1 Credit, LIBS 150)
or
(1 Credit, CAPL 398A)
or other general education elective
(3 Credits, IFSM 201)
or
(3 Credits, CMST 301)
or another computing course appropriate to the academic major
Communications Courses
(3 Credits, WRTG 111)
or
(3 Credits, WRTG 291) or other writing course
(3 Credits, WRTG 112)
(3 Credits, SPCH 100)
or other communication, writing, or speech course
(3 Credits, WRTG 391)
or other advanced upper-level writing course
Math Course
(3 Credits, MATH 105)
or other approved math or statistics course
Arts and Humanities Courses
(3 Credits, HIST 157)
or other arts and humanities course
(3 Credits, ENGL 240)
or foreign language course or other arts and humanities course
Behavioral and Social Science Courses
(3 Credits, ECON 201)
or
(3 Credits, PSYC 100)
or other behavioral and social science course
(3 Credits, GVPT 170)
or other behavioral and social science course
Biological and Physical Sciences Courses
(3 Credits, BIOL 101)
and
(1 Credit, BIOL 102)
or other paired science lecture and laboratory courses
(3 Credits, NUTR 100)
or
(3 Credits, BIOL 160)
or other science lecture course
If you completed your undergradute degree at UMGC with a major in data science, a vertical pathway between UMGC's undergradute and graduate programs allows you to reduce the total coursework for the Master of Science in Data Analytics by 6 credits (two courses). If eligible, you may be awarded credit for:
- UCSP 615 Orientation to Graduate Studies (0)
- DATA 620 Data Management and Visualization (6)
You should enroll in the graduate data analytics program within two years of completing your undergraduate degree in data science.
Total Credits Required: 120
- Required Major Courses: 36
- Minor and Elective Courses: 43
- General Education Courses: 41
Required Major Courses
- (3 Credits, STAT 200)
- (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
- (3 Credits, DATA 200)
- (4 Credits, MATH 140)
UMGC outlines the options available to fulfill the 41 credits of general education coursework for a bachelor's degree in Data Science.
Research and Computer Literacy Courses
(3 Credits, PACE 111M)
or
(3 Credits, PACE 111C)
or other PACE 111 course (to be taken in first 6 credits)
(1 Credit, LIBS 150)
or
(1 Credit, CAPL 398A)
or other general education elective
(3 Credits, IFSM 201)
or
(3 Credits, CMST 301)
or another computing course appropriate to the academic major
Communications Courses
(3 Credits, WRTG 111)
or
(3 Credits, WRTG 291) or other writing course
(3 Credits, WRTG 112)
(3 Credits, SPCH 100)
or other communication, writing, or speech course
(3 Credits, WRTG 391)
or other advanced upper-level writing course
Math Course
(3 Credits, MATH 105)
or other approved math or statistics course
Arts and Humanities Courses
(3 Credits, HIST 157)
or other arts and humanities course
(3 Credits, ENGL 240)
or foreign language course or other arts and humanities course
Behavioral and Social Science Courses
(3 Credits, ECON 201)
or
(3 Credits, PSYC 100)
or other behavioral and social science course
(3 Credits, GVPT 170)
or other behavioral and social science course
Biological and Physical Sciences Courses
(3 Credits, BIOL 101)
and
(1 Credit, BIOL 102)
or other paired science lecture and laboratory courses
(3 Credits, NUTR 100)
or
(3 Credits, BIOL 160)
or other science lecture course
If you completed your undergradute degree at UMGC with a major in data science, a vertical pathway between UMGC's undergradute and graduate programs allows you to reduce the total coursework for the Master of Science in Data Analytics by 6 credits (two courses). If eligible, you may be awarded credit for:
- UCSP 615 Orientation to Graduate Studies (0)
- DATA 620 Data Management and Visualization (6)
You should enroll in the graduate data analytics program within two years of completing your undergraduate degree in data science.
Program Highlights
Develop skills and gain knowledge through coursework that draws from the expertise and experience of our respected faculty.
You might be interested in similar programs
Compare Programs
Compare Programs
Career Preparation
This program is designed to help you become a highly skilled professional who can transform large amounts of data into actionable insights. One of the major outcomes of the program is to provide you with hands-on experience with a variety of the most ubiquitous analytical tools and methods.