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Michigan State University College of Engineering Tech Stack

Research and engineering education institution with healthcare and operations scale

Higher Education East Lansing, Michigan 201–500 employees Founded 1888 Educational

Michigan State's College of Engineering operates across research, healthcare delivery, and academic operations—supported by a heavy analytics and data-science stack (Python, PyTorch, TensorFlow, Tableau, Power BI, SAS, MATLAB). The hiring velocity is accelerating, concentrated in operations (28), healthcare (27), and research (25) roles, with 90 positions posted in the last 30 days. Pain points cluster around compliance (university policy, federal regulations), resource constraints, and operational disruptions, suggesting a complex, regulated environment managing multiple concurrent initiatives.

Tech Stack 79 technologies

Core StackPython Tableau Power BI SAP Zoom PyTorch TensorFlow AWS Canva Power Platform Power Apps Power Automate Asana Slack MATLAB SAS Cognos SPSS IBM Master Data Management forklift Azure GCP LIMS AWS EBS Microsoft Access Google Drive OneDrive Stata REDCap RStudio+49 more

What Michigan State University College of Engineering Is Building

Challenges

  • Ensuring compliance with university policies
  • Compliance with federal regulations
  • Monitoring schedule and cost baselines
  • High case volume
  • Resource constraints
  • Operational disruptions due to weather
  • Labor relations
  • Diverse workforce management
  • Meeting major gift fundraising goals
  • Identifying process gaps

Active Projects

  • Online meditation training for caregivers of advanced cancer
  • Apps to promote exercise in at-risk populations
  • Toolkit for cancer patient self-management
  • Maintenance and monitoring of research plots
  • Greenhouse gas measurements and analysis
  • Evening social and recreational activities
  • Automated grading
  • Space audits
  • Menu development
  • Mara hyena project

Hiring Activity

Accelerating150 roles · 90 in 30d

Department

Ops
28
Healthcare
27
Research
25
Engineering
23
Support
17
Education
6
Finance
3
Security
3

Seniority

Junior
100
Mid
25
Intern
12
Senior
9
Manager
4
Lead
2
Director
1
Staff
1

Notable leadership hires: Assistant Director, Human Resources Director, Superconducting Mechanical Design Lead, Program Lead

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About Michigan State University College of Engineering

Michigan State University's College of Engineering is one of the university's three largest academic units, established as a founding discipline in 1888. The college operates an integrated research and education mission: producing practice-ready engineers and computer scientists alongside active research programs spanning oncology (cancer patient self-management toolkits, caregiver support), environmental science (greenhouse gas measurement), health interventions (exercise promotion in at-risk populations), and infrastructure (space audits, maintenance monitoring). Operations span both traditional academic functions and healthcare-adjacent delivery, with distributed teams across research labs, clinical programs, and administrative functions.

HeadquartersEast Lansing, Michigan
Company Size201–500 employees
Founded1888
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Michigan State College of Engineering use?

Python, PyTorch, TensorFlow, MATLAB, SAS, Stata, R/RStudio for modeling; Tableau, Power BI, Cognos for analytics; AWS, Azure, GCP for cloud; SAP, Power Platform, REDCap for operations and research data management.

What research projects is Michigan State College of Engineering running?

Active projects include cancer patient self-management toolkits, online meditation training for cancer caregivers, exercise promotion apps, greenhouse gas measurement and analysis, research plot monitoring, and hyena behavioral studies.

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How this profile is built

Michigan State University College of Engineering's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.