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.

These requirements are for students who enroll in the 2021–2022 academic year. For prior year academic requirements, visit our catalog archive.

About the Data Science Bachelor's Degree

What You'll Learn

Through your coursework, you will learn how to

  • Communicate effectively orally and in writing, meeting expectations for content, purpose, organization, audience, and format
  • Implement all stages of data science methodology, including data extraction, data cleaning, data load, and transformation
  • Execute best practices using diverse technologies in data science, business intelligence, machine learning, and artificial intelligence
  • Analyze social, global, and ethical issues and their implications as they relate to the use of existing and emerging data science, machine learning, and artificial intelligence technologies
  • Evaluate a business problem or opportunity to determine the extent data science can provide a viable solution and translate the business problem into a viable project to meet organizational, strategic, and operational needs
  • Incorporate data security, data privacy, and risk management best practices in the planning, development, and implementation of data science solutions
  • Build and deploy the machine learning process throughout its life cycle in full compliance with best practices for tool evaluation, model selection, and model validation
  • Leverage big data analytics and AI technology to create solutions for stream analytics, text processing, natural language understanding, AI, and cognitive applications

Coursework Examples

In past projects, students have had the opportunity to

  • Apply fundamental analytics techniques to build models for predicting sports outcomes, housing prices, or other datasets
  • Create geospatial visualizations using the World Bank Indicators dataset, comparing countries, regions and subregions on economic development, technology, health, population, and transit to identify unanticipated trends and anomalies.
  • Develop machine learning models to build a fraud detection ecosystem that will monitor in-transit and at-rest identity data for fraud
  • Apply Spark Machine Learning technology to stream analytics of real time location data
  • Identify a business problem and implement an appropriate solution using machine learning techniques

Industry Certification

This program can help prepare you for the following certification exam(s):

Data Science Bachelor's Degree Requirements

Our curriculum is designed with input from employers, industry experts, and scholars. You'll learn theories combined with real-world applications and practical skills you can apply on the job right away.

Courses in the Major

Total Credits Required: 120

Required Major Courses

  • STAT 200
  • DATA 220
  • DATA 300
  • CSIA 300
  • IFSM 330
  • DATA 335
  • DATA 430
  • DATA 440
  • DATA 445
  • DATA 450
  • DATA 460
  • DATA 495

Related Required Courses

  • CMIS 102
  • MATH 140

General Education Requirements

UMGC outlines the options available to fulfill the 41 credits of general education coursework for bachelor's degrees on the General Education Requirements webpage.

In addition to the major, elective, and general education courses and requirements outlined on this page, please review the overall bachelor's degree requirements.

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.