Mercyhurst University

Data Science Bachelor of Science

Unlock Knowledge and Insight from the Data Revolution

The Big Data revolution promises to transform the world. Businesses are mining data about their customer's preferences. Organizations are analyzing data about their business processes to design more efficient processes. Data analysis is transforming the fundamental scientific process from a top-down, theory-driven process into a data-driven process. It's little surprise that in 2018, “data scientist” is the top in-demand job in Glassdoor’s annual survey for the third year in a row. 

 

Mercyhurst’s Data Science undergraduate major is designed to equip you with the skills you need to become a data scientist. This multidisciplinary program combines techniques from computer science and statistics to clean, manage, analyze and interpret data. Data Science majors will be well prepared for careers in a number of fields, skilled at determining actionable insights about the meaning of data for decision-makers in businesses, public agencies and nonprofits.

DID YOU KNOW...

DID YOU KNOW...

Data Scientist has been named the best job in America for three years running, with a median base salary of $110,000.

DID YOU KNOW...

DID YOU KNOW...

Data Science is a field at the intersection of computer science and statistics, which makes it more exciting than computer science because you're applying computer algorithms to real-world problems and more employable that statistics.

DID YOU KNOW...

DID YOU KNOW...

Data Science is the perfect second major with any art, science, humanities, business, or social and natural science field.

DID YOU KNOW...

DID YOU KNOW...

Through real-world projects and hands-on experiences with specialized tools and software, you’ll learn to think critically about the theoretical underpinnings and practical applications of the field.

DID YOU KNOW...

DID YOU KNOW...

We have two clubs in our department! They are:


Data Science Club- The purpose of this organization is to promote technology transfer of current trends in market to college setup. Create awareness on importance of data driven decision making in market. Conduct and promote tech events, hackathons, and boot camp to promote data science and to support data science students with career development.

Cyber Threat Research Analysis Club- The purpose of the organization is to research, analyze, and increase awareness of the current cyber threat environment. Through goal-based learning, the club aims at developing skills and expertise required to understand, assess, and deter cyber threats to national security and/or any entity’s continuity. 

 

 



SAMPLE COURSES
CIS 150 Introduction to Data Science

This course introduces various steps of the data science process, including collection, wrangling, storage, exploration, visualization, and formal modeling and analysis.



CIS 280 Information Visualization

Explore the various techniques for summarizing, visualizing, and analyzing high dimensional data in written, oral, and graphical forms.



CIS 351 Big Data Analytics

Study the computer systems designed to store and analyze the “Big Data” collected by various types of organizations. These systems include: Hadoop (HDFS,HBase), Google GFS/Chubby/BigTable, Amazon S3, and Microsoft Azure Storage.



CIS 471 Machine Learning

This course introduces students to design, implementation, and performance evaluation of various machine learning techniques.  Topics include: supervised and unsupervised learning techniques, use of various machine learning libraries and packages to solve a variety of data science problems, and cross validation.



EXPERIENCE & OUTCOMES

High-Tech Facilities

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Take classes and conduct projects in Mercyhurst’s new MCPc Cyber Education Center, an 8,000-square-foot state-of-the-art cyber training and mitigation facility.

Career Opportunities

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Nearly every industry publication and research firm—from IBM to Harvard Business Review—is reporting that demand for data scientists is far outstripping supply.

Interdisciplinary Education

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Data science has applications across nearly every academic and professional discipline, from the humanities and social sciences to the natural and health sciences. Students will learn from an interdisciplinary team consisting of computer scientists, mathematicians and social scientists.

Meet the Faculty

M. Afzal Upal, Ph.D.
Chair of the Department of Computing & Information Science
Angela Berardinelli, Ph. D.
Assistant Professor of Mathematics
Charles Redmond, Ph.D.
Professor of Computing and Information Science
Mahesh Maddumala, Ph. D.
Assistant Professor of Computing & Information Science.
Stephen Ousley, Ph.D.
Associate Professor of Computing and Information Science
Chris Mansour
Christopher Mansour, Ph.D.
Assistant Professor of Computing and Information Science