Applied Data Science Analytics

Applied Data Science Analytics Overview

Data science is an emerging field that blends computer technology, statistics, and business to manage, organize, and analyze the massive amounts of data produced by modern technologies every day. Digitalized data make it easier than ever to conduct research on historical records, providing connections between the old and new. Data scientists need to understand information systems and have a strong foundation in analytical methods and tools. Employers are increasingly looking for these skills to help solve important problems and create new insights in industry, healthcare, government, non-profits, and beyond.

Degrees Offered

Program School

School of Arts, Science & Business

In just about every field, including business, there is a large and growing need for people with the knowledge and skills to clean, manipulate, and analyze data, and then report the results to inform better decision-making. The data science analytics major at Chatham is a comprehensive and rigorous program that prepares students to successfully meet this need and pursue rewarding careers in the burgeoning field of data analytics.

—MARK HANEY, Ph.D, associate professor

Explore the Applied Data Science Analytics Degree:

Choose a minor in a specialized knowledge domain, such as another business field, political science, sustainability, biology, psychology, mathematics, or more.
Take classes at Carnegie Mellon University or the University of Pittsburgh through our agreements with those schools.
Benefit from innovative courses such as Information and Cybersecurity, which teaches students to identify vulnerabilities, assess threats, and analyze risk. In Introduction to Data Science, students examine how digital technologies are transforming industries such as business, music, and healthcare.
You will leave Chatham fully prepared, thanks to professional development in in-demand business areas such as project management, Six Sigma, and coding, as well as the individualized attention of and experience conveyed by our faculty.

Database Management Systems

This course is a study of database management systems and their applications to a wide range of information processing needs. Students design and implement database management systems while being introduced to a conceptual model of a database environment comprised of five basic components: databases, database management systems, data dictionary/directory systems, database administration, and user-system interfaces.

Data Visualization and Communication

This course covers the different ways of visualizing data, given different types and characteristics of data. Includes assessment and evaluation of existing data visualization techniques. Current tools used to transform data and visualize data are reviewed, including Python, Google Charts, and Tableau.

Machine Learning and AI

An introduction to machine learning and algorithms. Topics include least squares methods, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, graphical models, hidden Markov models, support vector machines, and kernel methods. Includes current issues relevant to big data problems.

View Full Curriculum

Our Faculty

If one word could best sum up Chatham's faculty, it would be engaged. Professors bring experiences to relate the course lessons to real-world situations.

Full Faculty

Mark Haney

Program Director/Department Chair, Business & Entrepreneurship

Deborah DeLong

Professor of Marketing

Jeffry G. Davis

Adjunct Faculty

David Laird

Adjunct Faculty

James Marino

Adjunct Faculty

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Internship Opportunities

Students in the Department of Business and Entrepreneurship have interned at companies including Management Science Associates, Inc., ADASHI Systems, Allegheny County Economic Development, Bayer, BNY Mellon, Conservation International, Federated Investors, Ford, Global Solutions Pittsburgh, Google, GNC, Hilton Hotels, Home Depot, Ketchum, LunaMetrics, Merrill Lynch, Mylan, Pittsburgh Penguins, PNC, Schneider Downs, Steelers, and WQED.

Photo of a group of Chatham University women, coming together at a networking event for the Center for Women's Entrepreneurship.

Center for Women’s Entrepreneurship (CWE)

The Center for Women's Entrepreneurship connects students with area business leaders and promotes events on campus, such as the Think Big Forum, a series of panel discussions focusing on strategic business growth, entrepreneurship, leadership, and sustainability.

Learn About CWE

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College of Distinction

Chatham has been named a College of Distinction for its business degrees, recognizing the program for its expert blending of the liberal arts with professional programming in its business majors.

MIS/Analytics Club

Chatham has an active MIS/Analytics Club which provides professional development, networking opportunities, and social events. The MIS/Analytics Club received the outstanding new student organization award in 2019.

Photo of Mellon Hall on Chatham University, surrounded by green academic quads and colorful fall foliage.

Accreditation, Student Achievement, and Outcomes

The Department of Business and Entrepreneurship at Chatham University has received specialized accreditation for its business programs through the International Accreditation Council for Business Education (IACBE). See our public disclosure of Student Achievement.

Photo of four women posing together in an office at Center for Women's Entrepreneurship at Chatham.

A Look at the Award-Winning Chatham Women's Business Center

Chatham’s Women’s Business Center (CWBC), part of the Center for Women’s Entrepreneurship at Chatham University (CWE), was selected by the U.S. Small Business Administration (SBA) as the 2018 Women’s Business Center of the Year.

Panel on Robotics and Artificial Intelligence

In September 2018, Chatham hosted a speaker panel on robotics and artificial intelligence for the financial and accounting industries. Speakers come from Schneider Downs, PNC, and Cognistx.

Applied Data Science Analytics