Degree ProgramAnthropology & Archaeology

Degree Program · Human & Social Systems

Digital Archaeology & Heritage Science

Connects archaeological method to GIS, remote sensing, 3D digitization, materials analysis, research computing, and digital stewardship.

Program purpose

Master of Science

Students develop a scientifically rigorous archaeological practice that links field context and interpretive reasoning to digital capture, spatial analysis, archaeometry, collections, reproducibility, and durable public or archival outputs.

Learning outcomes

What graduates are prepared to do

Program outcomes connect disciplinary knowledge to methods, judgment, communication, and independently evaluated work.

01

Design archaeological research integrating field, laboratory, and digital evidence

02

Apply geospatial, 3D, materials, and computational methods responsibly

03

Develop archival-quality data and documentation

04

Produce a defensible thesis, report, or digital heritage product

Curriculum architecture

How the pathway is organized

Coursework progresses from foundations to methods, integration, and a culminating demonstration of capability.

Foundations

Build the knowledge, skills, and mindset for inquiry.

Application

Apply methods and tools to real-world questions.

Integration

Synthesize across disciplines and perspectives.

Demonstration

Produce and present work that creates impact.

  1. 01

    Archaeological theory and research design

  2. 02

    GIS, remote sensing, 3D capture, and materials analysis

  3. 03

    Data stewardship and reproducible research

  4. 04

    Heritage, ethics, access, and public interpretation

  5. 05

    Thesis or technical master’s project

Course sequence

Selected curriculum

Browse the course catalog →
ARCH-220

Archaeological Method & Interpretation

Introduces archaeological reasoning from research design and survey through excavation, classification, chronology, interpretation, and reporting.

Requirement
Core
Credits
3.0
ARCH-365

AI-Assisted Archaeology

Applies machine learning, computer vision, language models, and spatial computation to archaeological data with explicit validation and interpretive controls.

Requirement
Core
Credits
3.0
GEOG-405

Spatial Analysis & LiDAR

Uses GIS, terrain models, point clouds, and LiDAR derivatives to investigate landscapes, built environments, archaeology, ecology, and infrastructure.

Requirement
Core
Credits
3.0
ARCHM-320

Archaeometry & XRF Methods

Applies non-destructive and minimally destructive analytical methods to archaeological materials, provenance questions, technology, and conservation documentation.

Requirement
Core
Credits
3.0
DIGI-320

Structured-Light Scanning & Digital Models

Develops non-contact 3D capture, mesh processing, measurement, texture, metadata, web visualization, and archival derivative workflows.

Requirement
Core
Credits
3.0
DATA-220

Data Management & Reproducible Research

Develops durable data structures, metadata, versioning, cleaning, provenance, documentation, and reproducible analysis workflows.

Requirement
Core
Credits
3.0
CRM-410

Cultural Resource Management Practice

Examines CRM project design, records research, field coordination, compliance documentation, laboratory integration, partner relationships, and final reporting.

Requirement
Core
Credits
3.0
Science, measurement, and laboratory methods

Learning environments

Field, laboratory & studio work

  • Archaeometry and XRF
  • 3D artifact digitization
  • GIS, LiDAR, and remote sensing
  • Collections and digital heritage workflows
Community, scholarship, and professional practice

Professional directions

Where the capability can lead

  • Digital archaeologist
  • Heritage scientist
  • CRM technical specialist
  • Collections and digital heritage manager
  • Doctoral study

Culminating work

Capstone, thesis, dissertation, or professional demonstration

A thesis or technical master’s project delivers an archaeological investigation, digital heritage system, analytical study, or validated methodological contribution.

Admissions preparation

Materials and background

Admissions review considers preparation, purpose, prior work, and the fit between the applicant’s goals and the program.

Bachelor’s degree or recognized equivalent

Academic records and evidence of disciplinary or methodological preparation

Statement of purpose identifying questions, methods, and intended outcomes

Writing, research, technical, or professional sample

Two academic or professional recommendations

Next step

Connect this pathway to your academic goals.

Request information for a focused conversation or begin an application through the Stella Nova Student Information System.