Data Science: Visualization and Visual Analytics for the Built Environment
Data Science: Visualization and Visual Analytics for the Built Environment
Bachelor of Science in Data Science: Visualization and Visual Analytics for the Built Environment Concentration
Top 5 Reasons to Study
Core
Skills
- Translate large-scale data into actionable insights to improve decision-making across design, planning, and facility management.
- Visualize dashboards and dynamic visualizations that communicate complex design, construction, and performance data.
- Model using Building Information Model (BIM) and data analytics to simulate real-world environments and workflows.
Sample
Jobs
- Predictive Maintenance
- Parametric Architecture Developer
- Smart City (IOT) Software Developer
- Augmented and Virtual Reality Designer and Developer
- Data Visualization Lead and Analyst
Successful Career Outcomes
Top
Employment
Industries
- Architecture: Optimizing building design decisions and visualization
- Construction: Improving construction processes and workflows
- Real Estate Development: Bridging computational analytics with physical space management
- Facility Management: Monitoring building performance and operational efficiency
- Building Technology: Creating smart, sustainable buildings and IoT-integrated systems
Brag
Points
- Study with the best: data science majors at MSU have a median ACT score of 29
- Our students have access to Ptolemy, a 64 GPU NVDIA system dedicated to academic use
- 38% of our Data Science students participate in the Shackouls Honors College
Experiential Learning Opportunities
Capstone Project: You will participate in a two-semester capstone experience in which you will be matched with a geoscience faculty mentor as you pursue a meaningful project.
Solar Decathlon: MSU student teams have frequently competed in the Solar Decathlon Design Challenge, aiming to create innovative, low-carbon building solutions.
CAVS Mixed Reality Lab: Part of the CAVS ecosystem, this group works on Virtual Reality (VR) and Augmented Reality (AR) visualizations for engineering and manufacturing, a perfect playground for visual analytics application.
Data Science Academic Institute: Our undergraduate researchers work on faculty projects in diverse subject areas.
You will take five hands-on labs that use real data. This builds career-relevant experiential learning directly into your coursework.
Data Science: Visualization and Visual Analytics for the Built Environment
Bachelor of Science in Data Science: Visualization and Visual Analytics for the Built Environment Concentration
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Major Maps are intended as general planning guides and may be updated as academic requirements, policies, and opportunities change. The MSU Academic Catalog in effect for the student’s catalog year is the official source for degree requirements and policies.