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, co-director of Data Science Program
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.
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.
Stonehill moved up 62 places in this year’s WSJ “America's Best Colleges 2024” rankings, putting it in the top 12 among Massachusetts schools and top 6 percent nationally.
After considering input for 165,000 at colleges and universities across the country, The Princeton Review recently ranked Stonehill College 19th out of 389 schools for quality of life.
Less than 20% of the 700 schools on Money’s 2023 Best College list, including Stonehill, received 4.5 stars or higher in the magazine’s 5-star rating system.
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.
