Master of Science in Business Analytics Applied Project (Online)

SCM 593 / CIS 593
Closed
Arizona State University (ASU)
Tempe, Arizona, United States
Gregory  Collins
Lecturer & Chief Supply Chain Officer
2
Timeline
  • November 2, 2020
    Experience start
  • October 8, 2020
    Project Scope Meeting
  • November 13, 2020
    Project Details Confirmed with Company
  • November 18, 2020
    Project Execution Starts + Project Scope Meeting
  • December 12, 2020
    Experience end
Experience
2/15 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Data analysis Operations Project management
Skills
business analytics data analysis
Learner goals and capabilities

The ONLINE MS-Business Analytics is an online 16-month program in the business school and ranked #6 in Online Business Programs by US News. Students gain experience in advanced descriptive, predictive, and prescriptive data analysis methods while using the most current tools, packages, and platforms for data analysis.

Teams of 3-4 students work on the projects from the start of October through early December. Each project includes a kick-off session, weekly syncs with the client, a mid-term presentation, a final presentation, a final report, and other associated deliverables as required (if you would like additional meetings, please note them in your project submission).

We have worked on over 150 applied projects with approximately 50 companies over the last 5 years. There is no sponsorship fee, we sign NDAs, and the client retains ownership of IP. You can find more information here: https://wpcarey.asu.edu/corporate-relations/msba-applied-project.

Learners

Learners
Graduate
Any level
10 learners
Project
135 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

Deliverables are as requested by the client in the MS-BA applied project sponsorship form.

The MSBA Applied Projects require a mid-term presentation, a final presentation, and a final report. If you would like final deliverables, please add to your project submission.

Deliverables:

  1. Mid-term presentation: problem statement, business value, scope, assumptions, approach, intermediate results, next steps. - in person or virtual, the 1st week of November.
  2. Final presentation: Problem statement, business value, scope, assumptions, approach, results and conclusions, limitations, possible extensions - in person or virtual, 1st week in December
  3. Final report - report template - 1st week in December
Project timeline
  • November 2, 2020
    Experience start
  • October 8, 2020
    Project Scope Meeting
  • November 13, 2020
    Project Details Confirmed with Company
  • November 18, 2020
    Project Execution Starts + Project Scope Meeting
  • December 12, 2020
    Experience end

Project Examples

Requirements

Since the MSBA Program focuses on advanced techniques in predictive and prescriptive analysis (including statistical, data mining, optimization, forecasting, and simulation analysis), we would consider any Project which requires students to apply these techniques to real-world data.

While students will typically end up doing some data cleaning, feature engineering, descriptive analysis, and visualization work as part of their projects, these can't be the only deliverables on the Project.

Also, unlike a CS program that would focus on algorithm performance/optimization and product development, the MSBA program focuses on the domain, methodology, modeling, interpretation of results, and connecting the results back to the Business. So while students will deliver on all the scripts required to achieve the end to end flow of the project, system building efforts (such as UI development or DW implementation) would be outside the scope of the MSBA Program.

The following timelines must be met in fall, for a spring start on applied projects.If you would like additional meetings, please add them to your project submission.

  • Through September 2020: Client confirms interest in project sponsorship
  • Oct 1, 2020: Client submits the first draft of project definitions completed (using template); NDA processing begins
  • Oct 15, 2020: Client submits a final draft of project definitions completed; Processing of NDAs completed
  • Oct 15, 2020: Client provides required data, tools and platform access to student team and advising faculty
  • Oct 19, 2020: Client sets up project kick-off meeting with the student team and advising faculty
  • Oct 19 - Dec 10, 2020: The client provides access to project liaisons who will be available throughout the project execution phase, to answer domain-related and data-related questions, as well as to provide required guidance to keep the project on track.

To apply for this course, please use the Applied Business Analytics project template - provided below

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q - Checkbox
  • Q - Checkbox
  • Q - Checkbox
  • Q - Checkbox