UUY-DTS 3223 units300 LevelSecond Semester

Industry-based Innovation

B.Sc. Data Science, University of Uyo

A practical, industry-facing innovation project: identify a real problem in an organisation or sector, design a data-driven solution, and demonstrate it. Runs alongside SIWES and feeds directly into your final-year work.

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  • 2 recommended textbooks
  • an AI tutor that has read this course’s outline and notes
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Course outline

  1. 01Identifying an innovation opportunity within an industry context
  2. 02Stakeholder engagement and requirements gathering
  3. 03Design thinking: empathise, define, ideate, prototype, test
  4. 04Assessing data availability, quality and access constraints for a proposed solution
  5. 05Rapid prototyping of a data product
  6. 06Feasibility: technical, operational, economic and legal
  7. 07Measuring impact: defining success metrics before building
  8. 08Pitching a solution to a non-technical audience
  9. 09Documentation and handover of an innovation project

Recommended textbooks

  • The Lean Startup — Eric Ries

    Build–measure–learn applied to any new product, including internal ones

  • Data Science for Business — Foster Provost & Tom Fawcett

    On framing a data project so that it actually creates value

How to pass UUY-DTS 322

  • Choose a problem you have personally observed — a real irritation you witnessed at your SIWES placement beats an impressive-sounding invented one
  • Check data availability before you commit to an idea; the most common failure here is a great plan with no obtainable data
  • Define your success metric in week one and hold yourself to it — this is exactly what UUY-DTS 211 taught you
  • Prototype ugly and early. A working rough demo persuades far more than a polished slide deck

Other 300 Level courses

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