Data Science for Business Capstone Consultancy Project
Timeline
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May 28, 2021Experience start
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November 13, 2020Midterm Progress Report
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April 1, 2021Project scope meeting
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April 16, 2021Proposal
-
May 25, 2021Project Kick-off meeting
-
June 1, 2021Project start
-
August 29, 2021Experience end
Timeline
-
May 28, 2021Experience start
-
November 13, 2020Midterm Progress Report
Students will report preliminary findings and data analysis
-
April 1, 2021Project scope meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
April 16, 2021Proposal
Students submit a project proposal to the University and company
-
May 25, 2021Project Kick-off meeting
Meeting between academic supervisor, student and company
-
June 1, 2021Project start
Project start date
-
August 29, 2021Experience end
Experience scope
Categories
Market research Operations Project management Product or service launchSkills
business consulting business strategy research business analytics data analysisThis course gives the MSc Data Science for Business students the opportunity to work on a Capstone project which require the demonstration of their ability to conduct independent consultancy project drawing on their education throughout the programme. The module develops student skills to work as a consultant.
The students in their final semester will spend circa 12 weeks (from June to August) working with your organisation on a management challenge or opportunity including areas such as process improvement, competitive assessment, optimisation, demand management, pricing, customer analytics, operations and other areas developing a solution for your analytical challenge using data science and analytics. In this capstone project, our students can develop solutions and recommendations to solve your analytical challenge.
Learners
- A project proposal
- A project report with findings supported by relevant evidence including but not limited to analytics, data, and key sources.
- An optional management presentation (via web/video).
Project timeline
-
May 28, 2021Experience start
-
November 13, 2020Midterm Progress Report
-
April 1, 2021Project scope meeting
-
April 16, 2021Proposal
-
May 25, 2021Project Kick-off meeting
-
June 1, 2021Project start
-
August 29, 2021Experience end
Timeline
-
May 28, 2021Experience start
-
November 13, 2020Midterm Progress Report
Students will report preliminary findings and data analysis
-
April 1, 2021Project scope meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
April 16, 2021Proposal
Students submit a project proposal to the University and company
-
May 25, 2021Project Kick-off meeting
Meeting between academic supervisor, student and company
-
June 1, 2021Project start
Project start date
-
August 29, 2021Experience end
Project Examples
Requirements
The following are examples of previous capstone project undertaken by students on the course:
- design of an Epidemiological ModelonSARS-CoV-2 in consideration of Vulnerable Sub groups and as a Component for the Staffing Model for the National Health Service
- modelling staff availability and absences for the National Health Service (NHS) using R programming language
- modelling and predicting resource requirements for regional health board
- using data driven approach in identifying and categorising public sentiments of cryptocurrencies on social media
- identifying potential of using machine learning methodologies in managing game reserves
- understanding export trends and barriers in the ornamental fish industry for market and growth strategy
- modelling pension decrements rates: identifying customers regular payments into their pension from customer data.
- how creation of attribution model influences marketing budget allocation
- mapping unmet demand within health board service directory
- data-driven human resource planning and project monitoring
- developing data driven plant operation management system
- using data analytics to monitor and optimise marketing performance of hospitality organisation
- growing business intelligence capabilities and developing dashboards functionality for on-line retailers
- building personalised recommendations with machine learning for financial services marketing
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Be available for a quick video conference and/or telephone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.
Completion of a Project Outline to ensure project scopes and expectations are clearly communicated to the Student Consultant
Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address student questions.
Providing Data to help complete the project will help increase engagement from student on this project and can be discussed prior to the start date
Be available for an 1-hour project kick-off meeting (virtual) to discuss project and share background information with the student.
Be available on a regular basis, up to one hour per week, to discuss status and check progress.
Timeline
-
May 28, 2021Experience start
-
November 13, 2020Midterm Progress Report
-
April 1, 2021Project scope meeting
-
April 16, 2021Proposal
-
May 25, 2021Project Kick-off meeting
-
June 1, 2021Project start
-
August 29, 2021Experience end
Timeline
-
May 28, 2021Experience start
-
November 13, 2020Midterm Progress Report
Students will report preliminary findings and data analysis
-
April 1, 2021Project scope meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
April 16, 2021Proposal
Students submit a project proposal to the University and company
-
May 25, 2021Project Kick-off meeting
Meeting between academic supervisor, student and company
-
June 1, 2021Project start
Project start date
-
August 29, 2021Experience end