Statistics, MS (Boston)

Graduatemajor2027 catalogUniversity Interdisciplinary ProgramsBoston31 semester hours totalverified parse

Official catalog page for this program

Required Courses

• MATH 5010 — Foundations of Statistical Theory and Probability
• MATH 6241 — Stochastic Processes
• MATH 6243 — Statistical Learning
• PHTH 6830 — Generalized Linear Models
• One of:
  • PHTH 7800 — Causal Inference in Public Health Research
  • PHTH 6801 — Causal Inference 1

Experiential Courses

From the catalog

Complete 2 semester hours from the following (courses may be repeated):

• Choose 2 semester hours from:
  • MATH 6910 — Master's Project
  • MATH 7980 — Capstone: Applications of Statistics and Modeling
  • PHTH 6880 — Statistical Consultancy

Concentrations (choose 1)

Biostatistics

From the catalog

Complete 12 semester hours from the following (students may take other courses not on the list in consultation with their faculty advisor):

Complete the following (students must complete HLTH 5101 to qualify for co-op experience):

• Choose 12 semester hours from:
  • PHTH 5202 — Introduction to Epidemiology
  • PHTH 5350 — Using SAS in Public Health Research
  • PHTH 6202 — Intermediate Epidemiology
  • PHTH 6210 — Applied Regression Analysis
  • PHTH 6802 — Causal Inference 2
  • PHTH 6810 — Survival Analysis
  • PHTH 6820 — Design and Analysis of Clinical Trials
  • PHTH 7440 — Advanced Methods in Biostatistics
• HLTH 5101 — Professional Development for Bouvé Graduate Co-op
• One of:
  • HLTH 6964 — Co-op Work Experience
  • HLTH 6954 — Co-op Work Experience - Half-Time
  • HLTH 6955 — Co-op Work Experience Abroad - Half Time
  • HLTH 6965 — Co-op Work Experience Abroad

Statistical Intelligent Systems

From the catalog

Complete 12 semester hours from the following (students may take other courses not on the list in consultation with their faculty advisor):

• Choose 12 semester hours from:
  • EECE 5614 — Reinforcement Learning and Decision Making Under Uncertainty
  • EECE 5639 — Computer Vision
  • EECE 5644 — Introduction to Machine Learning and Pattern Recognition
  • EECE 5645 — Parallel Processing for Data Analytics
  • EECE 7200 — Linear Systems Analysis
  • EECE 7204 — Applied Probability and Stochastic Processes
  • EECE 7213 — System Identification and Adaptive Control
  • EECE 7346 — Probabilistic System Modeling and Analysis
• ENCP 6100 — Introduction to Cooperative Education
• One of:
  • ENCP 6964 — Co-op Work Experience
  • ENCP 6954 — Co-op Work Experience - Half-Time
  • ENCP 6955 — Co-op Work Experience Abroad - Half-Time
  • ENCP 6965 — Co-op Work Experience Abroad

Statistical Machine Learning

From the catalog

Complete 12 semester hours from the following (students may take other courses not on the list in consultation with their faculty advisor):

Students must complete a required co-op preparation course before participating in co-op; consult your academic advisor for details.

• Choose 12 semester hours from:
  • CS 5100 — Foundations of Artificial Intelligence
  • CS 5180 — Reinforcement Learning and Sequential Decision Making
  • CS 5200 — Database Management Systems
  • CS 6120 — Natural Language Processing
  • CS 6180 — Foundations for Generative AI
  • CS 7140 — Advanced Machine Learning
  • CS 7150 — Deep Learning
• One of:
  • CS 6964 — Co-op Work Experience
  • CS 6954 — Co-op Work Experience - Half-Time
  • CS 6955 — Co-op Work Experience Abroad - Half-Time
  • CS 6965 — Co-op Work Experience Abroad

Statistical Theory and Modeling

From the catalog

Complete 12 semester hours from the following (students may take other courses not on the list in consultation with their faculty advisor):

Complete the following (students must complete EESC 6500 to qualify for co-op experience):

• Choose 12 semester hours from:
  • 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
• EESC 6500 — Pathways to Professional Success
• One of:
  • EESC 6964 — Co-op Work Experience
  • EESC 6954 — Co-op Work Experience - Half-Time
  • EESC 6965 — Co-op Work Experience Abroad

GPA requirements

• Minimum 3.000 GPA required

Parsed from the catalog by NU Map; the structured machine copy is in this college's JSON for the 2027 catalog, under statistics-ms-boston, and the official page is the authority.