2016–2017 2016–2017

INFORMATION TECHNOLOGY
PROGRAMS
MASTER OF SCIENCE IN DATA ANALYTICS
The state-of-the-art graduate data analytics program is
designed with input from leading employers to give you a
competitive advantage in the job market.
The master’s degree program in data analytics is designed to
meet the rising need for highly skills professionals who can
transform the growing amount of institutional data into valuable
assets. You’ll gain hands-on experience with a variety of
analytical tools and learn how to manage and manipulate data,
create data visualizations, and make strategic data-driven recommendations
to influence business outcomes. By using industry
knowledge and contextual understanding and questioning
existing assumptions, you’ll learn to uncover hidden solutions
to business challenges, allowing your organization to build and
sustain a long-term competitive advantage.
What You’ll Learn
Through your coursework, you will learn how to
Evaluate a business problem or opportunity to determine
the extent to which data analytics can provide a viable
solution and translate the business problem to a data
analytics project
Manage data analytics projects to ensure delivery of a successful
data analytics initiative throughout its life cycle
Create a data mining application specific to an individual
domain or area (e.g., finance; cybersecurity; biological,
medical, or scientific applications; or retail)
Apply statistical and machine learning techniques for data
analysis and interpret and communicate the results
Transform large data sets into actionable information in an
easy-to-understand format to support organizational decision
making through the use of advanced analytical tools
Apply big data analytics technology to a specific area such
as health care; marketing; insurance; cybersecurity; or biological,
medical, and scientific applications
Evaluate the appropriate methods and tools for data
analysis (including selecting a modeling approach, building
a model using appropriate tools, validating the model, and
deploying the model for prediction and analysis) in specific
organizational contexts
Careers
Management analysts
Data warehousing specialists
Business intelligence analysts
Intelligence analysts
Marketing research analysts and marketing specialists
Your Coursework
The curriculum for the master’s degree in data analytics is
crafted, reviewed, and updated by a team of advisors and
industry experts to ensure that what you learn aligns with
the trends and technologies in the workplace today. It covers
advanced software tools and programming language, as well
as the foundations and application of data mining, predictive
modeling, and visual analytics using large data sets.
Coursework Examples
In past projects, students have had the opportunity to
Plan, design, and implement the data mining process,
including data extraction, data cleaning, data load, and
transformation
Identify and implement appropriate techniques for or
approaches to a given situation for descriptive, predictive,
and prescriptive analytics using wide a range of supervised
and unsupervised data mining algorithms
Evaluate the accuracy and performance of classifiers and
predictors
Integrate a data mining system with a database, distributed
file system, or data warehouse system using emerging
technology
Identify and apply techniques for stream, time-series, social
networks, and multirelational data mining
Employ real-time analytics and business intelligence directly
on massive-scale data, including stream data
Identify and apply techniques for spatial, multimedia, text,
web content, web structure, and web usage mining
Apply modern technology for text processing, natural language
processing, and cognitive computing
Course descriptions are found on pp. 92–128. Before enrolling, check www.umuc.edu/catalogs for possible updates to program offerings.
More information about certificates, including gainful employment disclosures, is available at
www.umuc.edu/graduateprograms 65