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University of Michigan School of Information


Big Data Analytics - SI 699

Big data analytics. A person looking at a laptop screen with code on it.

Proposal open date: June 1
Proposal close date: Nov. 1
Project timeline: January-April 
Project duration: 15 weeks 
Number of projects needed: 8-10

SI 699: Big Data Analytics Syllabus


In SI 699: Big Data Analytics, master's-level graduate students demonstrate mastery of data collection, processing, analysis, visualization, and prediction through a semester-long project, tackling real-world problems using complex datasets, while working collaboratively in a fast-paced environment and showcasing independence and leadership skills, aligning with industry best practices.


Deliverables will vary by project and be based on the client needs and project scope. Examples may include:

  • Written report
  • Final presentation
  • Code repository

Client Requirements 

  • Level of engagement for course/program 
    • Occasional meetings with student team
    • Regular feedback and communication to student team based on the course schedule
    • Introduction to stakeholders and users for interviews and/or data gathering
    • Access to organizational data, systems, and/or resources necessary to complete project
    • Complete project evaluation
  • Special requirements for the course/program 
    • Designate a primary or secondary contact who knows and understands the data

Contact us

Engaged Learning Office | [email protected] | (734) 763-1251

Please complete this form to submit a project proposal for one of our client-based courses or other programs, or to receive information about these opportunities throughout the year.