Data Science
Uncover Insights. Drive Innovation.
Analyze complex datasets, derive insights, and drive strategic decision-making across various industries. Collect, visualize, and communicate actionable insights for data-driven decisions in business, non-profit, and government organizations.
The demand for data-driven decision-making has made data science one of the most sought-after fields in today’s job market.
Our curriculum integrates theoretical knowledge with practical applications, ensuring students are well-versed in the latest tools and technologies in data science.
Program Overview
- Options: Master’s, Graduate Certificate, 4+1 for Mercyhurst undergrads
- Location(s): On campus
- Duration: Minimum 21 months
- Cost: $1,057 per credit; $39,668 total (Alumni receive a special tuition rate)
- Deadline: Rolling admissions
- Start term: Fall semester
- Careers: Data analysts, business analysts, data engineers, machine learning engineers, and data scientists
Growing Industry
Required Courses
- Databases
- Machine Learning
- Data Visualization
- Big Data Analytics
- Neural Networks
- Natural Language Processing
Learning Outcomes
Our program is designed to give students a competitive edge in the marketplace. You will be prepared as a professional data scientist who will serve as a key informant for decision-makers in both the public and private sectors. You can:
- Assess, evaluate, and respond to decision-maker needs and requirements
- Collect, clean, store, and query data from a variety of private and public data sources
- Apply appropriate analytic techniques to provide estimates that support decision-making and action
- Communicate actionable information and findings in easy-to-understand written, oral, and visual formats
Career Opportunities
Data science is one of the most important disciplines of the future, and it will intersect with every professional area as the reservoir of the world’s data continues to grow. According to a McKinsey Global Institute report, “the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.”
Graduates of our program are highly sought after, with job opportunities in top companies like Facebook, Erie Insurance, Amazon, UPMC, ConMed, and Abbott Labs.
4+1 Program
Available to qualified Mercyhurst undergraduate students, the M.S. in Data Science allows students to begin earning graduate credits during their junior years at no additional cost. Students starting the 4+1 in the fall of their junior year can earn up to 12 credits, shortening their time to master’s completion and saving more than $10,000.
Admissions Requirements
Prospective applicants must fulfill the following admissions requirements. At the discretion of the director, acceptance may be granted to applicants who have not fulfilled all the admissions requirements, provided they agree to the conditions of the acceptance prescribed by the director.
Admissions decisions are made by the program director on a rolling basis after a holistic review.
- Completed online application
- A bachelor’s degree in any discipline from an accredited school with a preferred overall minimum GPA of 3.0
- Official transcripts from all post-secondary institutions you attended
- A current resume
- A 500-750 word personal statement outlining your reasons for enrolling and personal and professional goals
- One letter of recommendation from a professional or academic source (such as an employer or professor)
- International applicants whose records are written in a language other than English must have their documents translated into English and a notarized statement attesting to the accuracy of the translations
- International applicants whose primary language is not English must attain a TOEFL score of at least 69 on the internet-based exam OR an IELTS score of at least 5.8 OR a Duolingo English Test score of no less than 100
Christopher Masour, Ph.D.
Chair, Department of Computing and Information Science
Office: Library 402
Colleen Hordych
Assistant Director, Graduate Admissions
Meet the Faculty
Computing and Information Science
Maria Garase
Interim Dean, The School of Intelligence, Computing, and Global Politics; Dean, The School of Social & Behavioral Sciences; Associate Professor, Criminology & Criminal Justice
Christopher Mansour, Ph.D.
Chair, Computing and Information Science (Cyber Security and Data Science) Department, Associate Professor