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Academics

Curriculum & Courses

This interdisciplinary master's program consists of 10 courses. The Master's of Science in Data Analytics is a part of Tufts University's overall goals of developing data intensive studies. The program will provide students with the skills needed to fill the increasing demand for individuals who can gather, interpret and guide data-driven decisions in business and across the arts, humanities, and sciences.

Requirements:

  • Conceptual Foundations of Information and Data: 1 course / 3 credits
  • Analytics & Statistical Foundations: 4 courses / 12 credits
  • Applications and Professional Competencies: 2 courses / 6 credits
  • Discipline-Related Application and Extensions: 2 courses / 6 credits
  • Capstone: 1 course / 3 - 6 credits

Conceptual Foundations of Information and Data (3 credits – 1 course) - New course

Analytic & Statistical Foundations (12 credits – 4 courses)

STATISTICAL ANALYSIS AND INFERENCE (2 COURSES)
Potential electives:

  • Advanced Statistics I (Psych 207)
  • Advanced Statistics II (Psych 208)
  • Probability (Math 161)
  • Statistics (Math 162)
  • Analysis (Math 135)
  • Biostatistics (BIO 132)
  • Computational Geometry (Math 163 / CS163)
  • Advanced Statistics (EC201)
  • Spatial Statistics (UEP) - New
  • Topics In Analysis: Math Bio/Stochastic Processes (Math 212)

MODELING TECHNIQUES (2 COURSES)
Potential electives:

  • Mathematical Psychology (Psych 140/Psych 240)
  • Data Visualization - New ENVS course being added in the Fall of 2018
  • Geographic Information Systems (GIS101 and GIS102)
  • Numerical Analysis (Math 226 or Math 126)
  • Numerical Analysis (Math/Comp 126)
  • Optimization (Math 150)
  • Numerical Linear Algebra (Math/Comp 128)
  • Mathematical Aspects of Data Analysis (Math 123)
  • Bio 133 Ecological Statistics
  • Introduction to GIS (UEP-232)
  • Geospatial Modeling (UEP-294)
  • Urban Data Analytics (UEP) - New

Application & Professional Competencies (6 credits – 2 courses)
Required:

  • Communicating with Data - New

Potential electives:

  • Environmental Data Analysis and Visualization (ENV-170)
  • Psychology 261 (Research in Psychology) – article and grant writing
  • The Arts of Communication (DPH-P234)
  • Professional Communication (HCOM-0544)
  • Computers in Psychology (Psych 110/210)

Discipline-related Application and Extensions (6 credits - 2 courses)
Potential electives:

  • Advanced GIS (UEP 235)
  • Financial Analysis and Management (UEP 254)
  • Political Science Research Methods (PS 103)
  • Conducting Research in World Politics (PS 188)
  • Seminar on Research in Psychology (PSYCH 261)
  • Research Practices (PSYCH 262)
  • Computational Physics (PHY 16)
  • Computational Methods for the Humanities (CLS 160-COMP 5)
  • Econometrics (ECON 202)
  • Qualitative Research Methods (UEP 234)
  • Comparative Land Use and Transportation Planning (UEP) - New

Capstone Internship Experience (3 credits – 1 course)
This will provide students with the opportunity to apply the knowledge and problem-solving skills they've learned over with course of the program with real-world projects or data sets within a professional context. This is envisioned to be accomplished during either the summer or academic year and is critical to the building of the problem-solving soft skills required by employers.

Each cohort will have an annual presentation day to share their integrative capstone experience.