Statistics, MS (Boston)

The field of statistics plays a critical role in the support of nearly every industry including technology; business, management, and finance; healthcare and pharmaceuticals; and more. The Master of Science in Statistics develops a comprehensive and flexible skill set that allows graduates to adapt to an ever-changing job market in various occupations and industries. In an era of increasing automation of Big Data, the value of the rigor of statistical thinking and analysis by individuals grows with the rise of automated Big Data analysis (e.g., artificial intelligence and machine learning). This program in statistics is designed to provide learners with a solid foundation in applied, modern, and computational approaches to statistical analysis and exposure to the statistical thinking skills necessary to critically assess data and answer business and research questions across domains. Core courses integrate theory and application, enabling students to be ready for the job on day one. Upon application, each student selects an industry concentration (biostatistics, statistical machine learning, and statistical theory and modeling) to examine statistical theories and applied methodologies most relevant to specific career pathways. In this degree program, students are admitted to the college associated with their concentration, and their degree is awarded by that college. The concentrations are associated with the following colleges:

• Biostatistics—Bouvé College of Health Sciences

• Statistical machine learning—Khoury College of Computer Sciences

• Statistical theory and modeling—College of Science

Students will follow all policies associated with their home college. Each student finishes the program with experiential courses such as a thesis, capstone, or consulting project, where they gain hands-on, project-based experience addressing business problems and presenting and communicating the findings and recommendations.

Complete all courses and requirements listed below unless otherwise indicated.

Required Courses 

Course List

Code	Title	Hours
MATH 5010	Foundations of Statistical Theory and Probability	4
MATH 6241	Stochastic Processes	2
MATH 6243	Statistical Learning	4
PHTH 6800		3-4
or PHTH 6801	Causal Inference 1
PHTH 6830	Generalized Linear Models	4

Concentrations

Complete one of the following concentrations:

• Biostatistics—Bouvé College of Health Sciences
• Statistical Machine Learning—Khoury College of Computer Sciences
• Statistical Theory and Modeling—College of Science

Experiential Courses

Course List

Code	Title	Hours
Complete 2 semester hours from the following (courses may be repeated):		2
MATH 6910	Master's Project
PHTH 6880	Statistical Consultancy

Program Credit/GPA Requirements

31 total semester hours required (32 for students who declare the Concentration in Statistical Theory and Modeling and also opt to participate in co-op) 

Minimum 3.000 GPA required

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Concentration in Biostatistics (Bouvé College of Health Sciences)

Course List

Code	Title	Hours
Complete 12 semester hours from the following:		12
PHTH 5350	Using SAS in Public Health Research
PHTH 6440
PHTH 6802	Causal Inference 2
PHTH 6810	Survival Analysis
PHTH 6820	Design and Analysis of Clinical Trials
Optional Co-op
HLTH 6964	Co-op Work Experience	0

Concentration in Statistical Machine Learning (Khoury College of Computer Sciences)

Course List

Code	Title	Hours
CS 5100	Foundations of Artificial Intelligence	4
CS 6140	Machine Learning	4
DS 5110	Essentials of Data Science	4
Optional Co-op
CS 6964	Co-op Work Experience	0

Concentration in Statistical Theory and Modeling (College of Science)

Course List

Code	Title	Hours
Complete 12 semester hours from the following:		12
MATH 7339	Machine Learning and Statistical Learning Theory 2
MATH 7340	Statistics for Bioinformatics
MATH 7341	Probability 2
MATH 7342	Mathematical Statistics
MATH 7343	Applied Statistics
MATH 7344	Regression, ANOVA, and Design
Optional Co-op
EESC 6500	Pathways to Professional Success	1
EESC 6964	Co-op Work Experience	0