Find the right t ºÚÁÏÉçÇø degree, specialization, or certificate for your professional and educational goals. Use the compare option to decide between multiple programs of interest.
Business Analytics
Graduate CertificateThese program requirements are for students who enroll in the 2024-2025 academic year.
With an online business analytics graduate certificate from University of Maryland Global Campus, you’ll master a combination of technical and business disciplines to help you become a valuable data analyst with strong career potential. Learn how to manage and manipulate data and make strategic data-driven recommendations to influence business outcomes.
Program Highlights
- Manage projects: Manipulate large data sets using software applications.
- Develop leadership skills: Build key leadership competencies in presentation, persuasion, and negotiation.
- Evaluate approaches: Use regression analysis and univariate and multivariate research methods.
- Design databases: Design and deploy databases and dimensional models to ensure quality.
- Proactively solve problems: Apply predictive modeling and decision theory to project development.
- Gain hands-on experience: Manage data analytics projects, present findings, and make recommendations.
Required Courses
- (3 Credits, DATA 605)
- (3 Credits, DATA 615)
- (3 Credits, DATA 625)
- (3 Credits, DATA 635)
Career Preparation
This certificate is designed to help you prepare for work in database design, data warehousing, data mining, data modeling, and predictive analytics.
Experience Recommended for Success in the Program
Please see this program’s admission requirements.
Total Program Credits
12
Transfer Credits
Up to 6
Format
- All courses available online
Tuition Per Credit
- $534 per credit (in-state)
- $659 per credit (out-of-state)
- $336 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard UMGC admission requirements.
Military-Specific Details
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
State-Specific Details
This program does not have state-specific restrictions.
Data Analytics
Master of ScienceThese program requirements are for students who enroll in the 2024-2025 academic year.
Earn an online Master of Science in data analytics (MSDA) in as few as 24 months at University of Maryland Global Campus. Our state-of-the-art program is designed with input from leading employers and can help you gain the hands-on experience, skills, and knowledge that today’s employers need. Many of our faculty members are active or former professionals in industry, government, and non-profit organizations and bring their knowledge, experience, and expertise to the classroom. Plus, with our convenient online courses and no-cost electronic resources in place of most textbooks, you can access the full student experience from any time and any place!
Program Highlights
- Solve a business problem: Evaluate a business problem or opportunity and provide a viable solution using a large-scale data analytics project.
- Complete a modeling project: Select a modeling approach, build and validate the model, and deploy the model for prediction and analysis.
- Evaluate performance: Evaluate the accuracy and performance of classifiers and predictors.Â
- Identify solutions: Identify and implement appropriate techniques using descriptive, predictive, and prescriptive analytics.
- Apply big data & AI: Apply analytics and AI technology to areas such as healthcare, marketing, insurance, cybersecurity, and science.
- Use current & emerging tech: Apply modern technology for stream analytics, text processing, natural language processing, AI, and cognitive applications.
Required Courses
This program requires a total of 30 credits. Take the following courses in the order listed:
Core Courses Â
(3 Credits, DATA 605)
(3 Credits, DATA 615)
(3 Credits, DATA 625)
(3 Credits, DATA 635)
(3 Credits, DATA 645)
Elective Courses
Take four 3-credit courses in one of our concentrations (outlined under Select Data Analytics Elective Courses) for a total of 12 credits.
Capstone Course
(3 Credits, DATA 690)
Career Preparation
This program is designed to help prepare you for work in the field of data science and analytics in a public or private-sector organization. Potential job titles include data analyst, business analyst, data scientist, data architect, AI engineer, and more.
Experience Recommended for Success in the Program
We recommend you have strong writing and analytical skills and a background in statistics and software programming. In preparation for the data analytics program, we recommend you take the following courses or have the equivalent expertise:
- UCSP 605
- UCSP 630
- UCSP 635
- UCSP 636
Total Program Credits
30
Transfer Credits
Up to 12
Format
- All courses available online
- Program restrictions apply
Tuition Per Credit
- $694 per credit (in-state)
- $694 per credit (out-of-state)
- $336 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard UMGC admission requirements.
Military-Specific Details
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
State-Specific Details
This program does not have state-specific restrictions.
Data Science
Bachelor of ScienceThese program requirements are for students who enroll in the 2024-2025 academic year.
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.
Program Highlights
- 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.
Required Courses
- (3 Credits, STAT 200)
- (3 Credits, DATA 230)
- (3 Credits, DATA 300)
- (3 Credits, CSIA 300)
- (3 Credits, DATA 320)
- 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
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.
Experience Recommended for Success in the Program
No previous experience is needed.
Total Program Credits
120
Transfer Credits
Up to 90
Format
- All courses available online
- Select hybrid courses available
Tuition Per Credit
- $324 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard UMGC admission requirements.
Military-Specific Details
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
State-Specific Details
This program does not have state-specific restrictions.
