Master's Business Analytics Consultancy
Main contact
Timeline
-
May 20, 2018Experience start
-
May 28, 2018Project Scope Meeting
-
August 31, 2018Midway Check In
-
August 31, 2018Experience end
Timeline
-
May 20, 2018Experience start
-
May 28, 2018Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates.
-
August 31, 2018Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
August 31, 2018Experience end
Experience scope
Categories
Operations Project managementSkills
python vba hadoop machine learning business consultingA Master's-level student-consultant will work with your organization on a substantial business analytics project of your choosing. Combining technical data analytics and business consulting, they will work to provide you with valuable insights and recommendations.
Students
Phase 1 – Project Plan: The student-consultant will meet with organization representative(s) to devise the project scope and prepare a detailed plan for completion of the project.
Phase 2 – Project Execution: The student-consultant will work on deliverables outlined in the project plan. They will periodically communicate with organization representative(s) as needed to complete project tasks.
Phase 3 - Outcome - Analysis and Recommendations: The student-consultant will submit the final deliverables, include substantive data analysis work, analysis, and recommendations, as determined by your organization in Phase 1.
Project timeline
-
May 20, 2018Experience start
-
May 28, 2018Project Scope Meeting
-
August 31, 2018Midway Check In
-
August 31, 2018Experience end
Timeline
-
May 20, 2018Experience start
-
May 28, 2018Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates.
-
August 31, 2018Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
August 31, 2018Experience end
Project Examples
Requirements
Starting this May, an individual Master's-level student will spend 300 hours working with your organization on a substantial business analytics project of your choosing.
Based on the data and resources that you provide, the student will apply technical and consulting skills to extract insights and provide recommendations that will assist management in planning and decision making.
Example project tasks include, but are not limited to:
- Interviewing key stakeholders for context and insights.
- Conducting data analysis using SAS, Python, VBA, Hadoop and/or machine learning.
- Creating predictive models and data visualizations.
Note: Students are responsible for maintaining strict confidentiality of company information and sign a confidentiality agreement when enrolling in the course.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Main contact
Timeline
-
May 20, 2018Experience start
-
May 28, 2018Project Scope Meeting
-
August 31, 2018Midway Check In
-
August 31, 2018Experience end
Timeline
-
May 20, 2018Experience start
-
May 28, 2018Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates.
-
August 31, 2018Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
August 31, 2018Experience end