The Data Science program is a blend of statistics, applied mathematics and computer science. Students in the major study such topics as statistical models, machine learning, data visualization and database systems.
The data scientist uses data to describe real-world phenomena and Stonehill’s data science program provides graduates with the knowledge and tools needed to thrive in this burgeoning field.
The data scientist is indeed a hybrid: part statistician, part mathematician and part computer scientist. Consequently, at Stonehill, the data science major is truly interdisciplinary, offered through the Computer Science Department and Mathematics Department.
With courses such as machine learning, artificial intelligence and advanced statistics, Stonehill’s Data Science program is designed to ensure graduates have the knowledge and experiences needed to thrive in this burgeoning field.
Heiko todt, Data Science ProFESSOR
Growing Field Leads to Increased Career Opportunities
A recent article in Forbes Magazine predicts that the “annual demand for the fast-growing new roles of data scientist, data developer and data engineer will reach nearly 700,000 openings by 2020.” As a result, students in the data science major will be competitive for a growing number of internships and employment opportunities.
Fall Open House
November 16
Visiting Stonehill is a great way to show your interest in the College. Come meet the Stonehill community and explore our 52 majors and 56 minors with our supportive professors, while also getting advice on admission and financial aid. Learn how our internship, research and study abroad programs position our students to take the lead in a 21st century economy.
Recent Accolades
Organizations involved in assessing U.S. colleges and universities continually cite Stonehill as being among the best in the nation when it comes to value, outcomes and a commitment to making the world a better place. See full list of accolades.
After assessing U.S. colleges and universities based on 17 measures of academic quality and graduate outcomes, U.S. News & World Report ranked Stonehill No. 73 in the Best Value category out of 1,500 colleges, while also moving up to No. 83 among National Liberal Arts Colleges.
Stonehill College has been recognized again this year by The Wall Street Journal for the value it provides students, especially in the areas of career preparation and character development.
Money’s 2024 Best U.S. Colleges research shows Stonehill among top 10% nationwide.
Sample Courses
Bayesian Statistics
An introduction to the theory and methods of Bayesian Statistics. Bayes’ Theorem, prior and posterior probability distributions, Bayesian regression, Markov Chain and Monte Carlo methods.
Data Visualization
An introduction to data visualization theory and techniques used for creating visual representations of large data sets.
Machine Learning
The algorithms that enable computers to learn from experience. Supervised and unsupervised learning. Learning from Networks. Machine learning from big data.
Artificial Intelligence
Introduction to artificial intelligence. Knowledge representation. Natural language processing. Deduction and inference. Expert systems. Computer vision. Robotics. Programming in LISP, PROLOG, or another AI language.
Partnerships & Special Programs
Stonehill College has developed academic affiliations with colleges and universities that enable our students to augment the degree they earn at Stonehill with graduate and undergraduate degrees that further enhance their opportunities.
Save Money: Earn Two Degrees in as Little as Four Years
The Skyhawk Accelerated Dual Degree allows Stonehill students to earn a bachelor's degree and master's degree from Stonehill College in as little as four years. Eligible students receive early and expedited admission to their graduate program of interest and can begin working toward a master's degree in education, data analytics or marketing. Stonehill students also receive 20% off for remaining graduate tuition through the Skyhawk Rate.
