Equipped to Thrive in Burgeoning Field 

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.

Hsin-hao Su, 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.

Sample Courses

Machine Learning

The algorithms that enable computers to learn from experience. Supervised and unsupervised learning. Learning from Networks. Machine learning from big data.

Data Visualization

An introduction to data visualization theory and techniques used for creating visual representations of large data sets. 

Contact Information

Ralph J. Bravaco

Ralph J. Bravaco

Professor of Computer Science, Computer Science Department Chair, Data Science Program Co-Director
College Center 226C
Computer Science
Hsin-hao Su

Hsin-hao Su

Professor of Mathematics, Actuarial Mathematics Program Co-Director, Data Science Program Co-Director
Mathematics