Overview

Background

The Data Lab has been running a face-to-face version of this course successfully for the last year to both private and public sector companies in Scotland. In the last year the course has been delivered to over 800 delegates from over 70 different organisations. There is no doubt that there is an appetite for this course and an online version would allow The Data Lab to reach an international market, showcasing Scotland and the data science community here.

This course has already been delivered to both Scottish Enterprise and Highlands and Islands Enterprise staff to equip them with the knowledge to have a data conversation with their customers.  Data is a priority area for Scottish Enterprise and they need their staff to be able to confidently talk around the opportunity that lies in data. They are now able to help their customers with funding as well as pointing them to the Data Lab community.

Scope

In scope

• Production of all academic course content
• Production of all media content
• Production of all learning design
• Alpha testing (internal quality assurance of content, media and design)
• Beta testing (external quality assurance by EdX)
• Marketing activity for first run of MOOC
• Moderator training
• Moderation during first run of MOOC
• Technical revisions following first run of MOOC

 Out of scope

• Recruitment of a Teaching Assistant/s to moderate the MOOC
• Moderation of the MOOC following the first run
• Marketing activity following the first run

Objectives

The objective of the project is to design and produce a four week ‘Data Lab’ MOOC.  The project will deliver only the first run, thereafter the MOOC will become business as usual (BAU) for ISG.

The learning outcomes from course will be that on completion, the learner will:

• Have a clear understanding of how organisations have used data and/or AI to deliver business results
• Have a definition of AI that is based upon what is actionable now
• Have knowledge of a number of real work case studies on how to succeed using data and/or AI
• A high level understanding of the challenges they will face, including ethical issues
• Leave with the confidence to have conversations about how to drive value from data and AI in their own organisation

Deliverables

• Marketing and communications plan (including first run of the MOOC)
• Well-structured, peer-reviewed MOOC outline
• Quality-assured academic content
• High quality media content
• MOOC available to global students on www.edx.com
• Trained Moderator

Benefits

• MOOC will be available to a worldwide cohort of students
• Delivery of the MOOC will showcase the global profile of the Data Lab as a hub of expertise for the study of data science

Success Criteria

• Production of a quality-assured MOOC available to a worldwide audience delivered on time and within budget.

Project Milestones

• Produce Comms and Marketing Strategy                        31 May
• Confirm media production plan                                          31 May
• MOOC content complete                                                        31 July
• Academic review of full course complete                        2 August
• ID review of full course complete                                        2 August
• Enrolment and launch of trailer on EdX                           5 August
• EdX QA complete                                                                        22 August
• EdX QA changes made                                                             30 August
• All risks closed off                                                                      30 August
• MOOC starts                                                                                 3 September
• MOOC ends                                                                                  30 September
• First run snagging/revisions complete                            18 October
• Handover MOOC to BAU                                                        18 October
• Project closes                                                                             24 October