Data Science Five-Year Accelerated Degree Bachelor of Arts and Master of Science Program

A five-year degree program is offered in Data Science at Fairfield University's School of Engineering and Computing, leading to a Bachelor of Arts in Computer Science and a Master of Science in Data Science. This program embraces the educational objectives of the BA in Computer Science program, as well as those of the graduate program in Data Science. It emphasizes experiential learning and innovation. Graduates of the program master the knowledge and tools they need to become data scientists. Data is ubiquitous in the modern world, and data scientists with skills and knowledge to analyze that data are a valuable, sought-after resource.

Students having achieved a 3.0 GPA, may apply to the Master’s degree program at the end of their third year.  Students follow the standard undergraduate curriculum for the first three years, and then complete the BA baccalaureate degree requirements (122 credits) during their fourth year.  During this final year, students may enroll in up to two graduate courses that are above and beyond their undergraduate degree requirement. These graduate courses may not be applied towards the undergraduate degree.  After receiving the baccalaureate degree, students will take an additional eight courses (for a total of ten courses) to complete the MS degree requirements in the fifth year.  

All Requirements for BA in Computer Science 1122
MATH 5417Applied Statistics I3
SWEG 5322Visual Analytics3
SWEG 6508Data Warehouse Systems3
SWEG 6518Data Mining and Business Intelligence3
Concentration Courses
Complete two courses in one of the following concentration areas: 26
Health Analytics
Healthcare Economics and Marketing
Finance and Quality Management in Healthcare Organizations
Computational Analytics
Database Management Systems
Pattern Recognition
Evolutionary Biology
Computational Biology
Computational Statistics for Biomedical Sciences
Behavioral Analytics
Gender and Mental Health
Social Analytics
Race, Cities, and Poverty
American Class Structure
Sociology of Education
Graduate Electives
Select two additional graduate-level electives from the following: 46
Computing Technical Electives
Artificial Intelligence
Cloud Computing
Machine Learning
Advanced Database Concepts
Applications and Data Security
Mathematics Electives
Applied Statistics II
Probability Theory
Statistics Theory
Capstone Sequence
SWEG 6961Capstone Professional Project I3
SWEG 6962Capstone Professional Project II3
Total Credits152

Note: A minimum of 30 credits must be completed at the graduate level.