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
Acquire 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 Europe 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
- Accelerated Pathway
Total Credits Required: 120
- Required Major Core Courses: 36
- Required Major Capstone Course: 3
- General Education Courses: 41
- Minor and Elective Courses: 40
Required Major Core Courses
- (3 Credits, STAT 200)
- (3 Credits, DATA 230)
- (3 Credits, CSIA 300)
- (3 Credits, DATA 320)
- (3 Credits, DATA 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)
Required Major Capstone Course
- (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
* This information is for students who enroll in the 2024-2025 academic year. For prior year requirements for this program or to review UMGC's complete program requirements for a specific academic year, visit our program catalog archive
If you completed your undergraduate degree at UMGC with a major in data science, an accelerated pathway between UMGC's undergraduate 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:
- (0 Credits, UCSP 615)
- (6 Credits, DATA 620)
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 Core Courses: 36
- Required Major Capstone Course: 3
- General Education Courses: 41
- Minor and Elective Courses: 40
Required Major Core Courses
- (3 Credits, STAT 200)
- (3 Credits, DATA 230)
- (3 Credits, CSIA 300)
- (3 Credits, DATA 320)
- (3 Credits, DATA 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)
Required Major Capstone Course
- (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
* This information is for students who enroll in the 2024-2025 academic year. For prior year requirements for this program or to review UMGC's complete program requirements for a specific academic year, visit our program catalog archive
If you completed your undergraduate degree at UMGC with a major in data science, an accelerated pathway between UMGC's undergraduate 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:
- (0 Credits, UCSP 615)
- (6 Credits, DATA 620)
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.
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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.