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Data Science for Business Consultancy Project

MANP098
Closed
University of Stirling
University of Stirling
Stirling, Scotland, United Kingdom
Najib Murad
Programme Director - MSc Data Science for Business
(2)
3
Timeline
  • February 27, 2022
    Experience start
  • April 1, 2021
    Project scope meeting
  • April 16, 2021
    Proposal
  • May 25, 2021
    Project Kick-off meeting
  • June 1, 2021
    Project start
  • August 6, 2022
    Experience end
Experience
5/10 project matches
Dates set by experience
Preferred companies
Anywhere
Startup, Social Enterprise, Non profit, Small to medium enterprise, Sole proprietorship, Incubator
Any industries
Categories
Data analysis Market research Operations Product or service launch
Skills
business analytics business consulting business strategy data analysis research
Learner goals and capabilities

This course gives the MSc Data Science for Business students the opportunity to work on a 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 24 weeks March 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 project, our students can develop solutions and recommendations to solve your analytical challenge.

Learners
Post-graduate
Any level
20 learners
Project
200 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables
  • 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
  • February 27, 2022
    Experience start
  • April 1, 2021
    Project scope meeting
  • April 16, 2021
    Proposal
  • May 25, 2021
    Project Kick-off meeting
  • June 1, 2021
    Project start
  • August 6, 2022
    Experience end
Project Examples

The following are examples of previous project undertaken by students on the course:

  • design of an Epidemiological Model on SARS-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
Companies must answer the following questions to submit a match request to this experience:

Be available on a regular basis to discuss status and check progress.

Be available for an 1-hour project kick-off meeting (virtual) to discuss project and share background information with the student.

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

Provide a dedicated contact who is available to answer periodic emails or video calls over the duration of the project to address student questions.

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