Accounting and Finance
General
- Undergraduate; 4th year
- 5 learners; teams of 4
- 50 hours per learner
- Dates set by experience
- Educators assign learners to projects
Preferred companies
- 5 projects wanted
- Anywhere
- Academic experience
- Any company type
- Any, Banking & finance, Business & management, Business services
Categories
Project timeline
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May 6, 2024Experience start
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August 10, 2024Experience end
Overview
- Details
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Accounting major is designed for students interested in becoming a Chartered Professional Accountant (CPA), and for students who want to develop a strong foundation in accounting.
Finance Program offers the students foundations in finance that allow them to pursue various career paths in the financial services industry or a higher degree in finance.
Our students participate in various external case competitions, gaining hands-on experience, and meeting industry practitioners. Our finance faculty is involved in a variety of research
Beginning in May 2024, teams of 3-5 students will work with your organization to support you with achieving your key business objectives by developing a recommended plan of action.
* Please note that the course dates are subject to change depending on University scheduling*
- Learner skills
- Project planning, Business consulting, Business strategy, Marketing strategy
- Deliverables
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- Project plan and weekly status reports
- Final project report with recommendations and an executive summary
- Presentation of recommendations from top one or two teams (via a virtual webinar format)
Project Examples
Statistical Analysis
The appropriate model will be developed to predict how much a customer will spend at your business. This development will include the following:
- Performing the appropriate statistical regression modelling techniques—in this case, a multiple regression statistical model.
- Determining which data attributes provided are predictive.
- Interpreting the model output.
- Providing the formula from the statistical model that can be used to predict what a customer will spend.
- Students will design, interpret, and provide the statistical regression model for your business to predict customer spend.
Financial Business Plan
- Sales forecasting
- Expense budget
- Income projections (conservative and aggressive)
- Assets and liabilities
- Break-even analysis
- Future recommendations
Financial Risk Analysis
- Application of mathematical/statistical analysis and computing methods to analyze data.
- Estimation of the volatility, correlation for returns, forward contracts, and industry-specific futures.
- Presenting findings on market risk exposure and provide recommendations.
- By using private (provided by your organization) and publicly available data on industry-specific derivatives, students will also perform a sensitivity analysis to identify the reliability of risk estimates.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Be available to attend a single kick-off/project scope meeting with all teams during second week of term. The kick-off will be a Q & A opportunity for all teams to solidify understanding of scope and requirements.
Be available to schedule and attend a final webinar presentation of project results during Week 8 of term. You can select the top one or two team solutions for presentations to minimize the load of multiple presentations.
Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.
Provide a dedicated contact to answer periodic emails or take phone calls as needed to address student questions in a timely manner. Students will be coached to make judicious use of your time.
Complete Capstone Project Proposal documentation one week after initial Riipen project meeting with the university.
Commit to a minimum of 5 interactions with the five student teams remotely, approximately 4–6 hours minimum over the duration of the project. These contacts are likely to be question/answer sessions or requests for additional information or clarification.
Provide team feedback twice over the semester and complete a post course survey.