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Master's of Science in Business Analytics Capstone Project

MSBA
Closed
The University of Georgia
The University of Georgia
Athens, Georgia, United States
Cierra Calloway
Cierra Calloway
Associate Director of Corporate Relations for UGA MBA/MSBA
1
Timeline
  • January 11, 2023
    Experience start
  • January 21, 2023
    Project Scope Meeting
  • April 29, 2023
    Experience end
Experience
25 projects wanted
Dates set by experience
Preferred companies
Anywhere
Startup, Social Enterprise, Large enterprise, Any, Small to medium enterprise
Sales, Energy, Business & management, Human resources & recruitment

Experience scope

Categories
Machine learning Data visualization Data analysis Data modelling Project management
Skills
problem solving business analytics business consulting data analytics problem analysis
Student goals and capabilities

Looking to elevate your organization, and bring it to the next level? Bring on MSBA students from the University of Georgia to be your virtual interns, in a project-based experience. The University of Georgia's Master of Science in Business Analytics (MSBA) program offers corporate leaders a 15-week experiential Capstone Project in partnership with graduate business students and Research One faculty to apply the latest tools and practices to your business challenges.

Students

Students
Graduate
Any level
110 Students
Project
100 hours per Student
Students self-assign
Teams of 5
Expected outcomes and deliverables

Sponsors will receive:

  • Report of data analyzed, conclusions drawn and recommendations for future action.
  • Accurate insights, fresh perspectives, and value-add solutions to relevant business problems.
  • Other deliverables as identified and mutually agreed upon by sponsor and MSBA team/staff/faculty.
  • Executive summary, demonstration and source code to company decision-makers at project end.
  • Shared leadership and insight from a team of full-time faculty members, active in research and teaching in analytics.
Project timeline
  • January 11, 2023
    Experience start
  • January 21, 2023
    Project Scope Meeting
  • April 29, 2023
    Experience end

Project Examples

Requirements

Beginning in January, groups of five Master's of Science in Business Analytics student-consultants will spend 400-500 hours per group consulting with your organization on a data challenge or opportunity.

Groups will provide your organization with a comprehensive strategy to overcome your challenge or take advantage of an opportunity.

Project scope can include, but is not limited to:

  • Process improvement and optimization.
  • Channel strategies.
  • Customer data analytics/segmentation.
  • New product/market introductions.
  • Logistics and competitive positioning.
  • Integration of e-commerce platforms.
  • Pricing and cost of service.
  • Growth initiatives.

What can this initiative do for your company?

  1. Access to the MS in Business Analytics students and faculty for 10-13 weeks to dig into tough big data problems and provide actionable solutions.
  2. Cross-disciplinary team of team of 4-5 graduate business students with educational roots in Economics, Finance, Marketing, and more.
  3. Early look at top talent with an opportunity to attract and engage students before they graduate and enter the workforce.
  4. Full ownership of all intellectual property, data, and deliverables generated by students and guided by the faculty.

Additional company criteria

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

    An internal contact with decision-making ability to provide team with access to needed data/information.

  • question

    Financial support or contribution to offset project costs will be assessed upon receipt of proposal.

  • question

    Preliminary scoping meeting with faculty to review problem set and establish project deliverables.

  • question

    Routine meetings between team members and project sponsor (weekly or biweekly recommended) throughout the project duration to review project status.

  • question

    Completed project proposal by November 11, 2022 for Spring semester 2023.

  • question

    Do you have a complete data set ready for mining? Data collection is not a portion of the project.

  • question

    Project Examples are listed below. 1. Creating a flexible Python tool that catalyzes data validation, cleaning, and analysis. 2. Data analysis and theme identification to prepare 3 – 5 recommendations on how Company ABC can improve sales growth through data mining, marketing strategy, increased/decreased sales efforts, etc. 3.) Use provided data to determine the optimal utilization rate to help minimize unbillable hour rate and voluntary turnover rate, while also maximizing EBITA. This project will add value by helping increase Company ABC's resource efficiency and annual EBITA.

  • question

    How is your project relevant to the course or what business problem does your project aim to solve?

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