As a global society, we are producing data at an incredible rate, fuelled by the increasing ubiquity of the Web, and stoked by social media, sensors, and mobile devices. However, as the amount of produced data continues to increase, so does the demand for practitioners who have the necessary skills to manage and manipulate this data. The European Data Science Academy (EDSA) is looking to bridge the data science skills gap by developing multimodal open courseware tailored to the real needs of data practitioners. The EDSA courseware is implemented as a combination of living learning materials and activities (eBook, online courses, webinars, face-to-face training), produced via a rigorous process and validated by the data science community through continuous feedback.

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Designing and Delivering a Curriculum
for Data Science Education across Europe
Dr. Alexander Mikroyannidis
The Open University, UK

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Digital/Big Data Skills Gap (UK)
• 750,000 tech vacancies by 2017, according to a recent prediction by O2.
• The UK is already losing a potential £2 billion per year from unfilled roles
requiring digital skills.
• Only 1/3 of ICT teachers have the relevant qualifications.
• Tenfold increase in Big Data staff demand over last 5 years:
– 41% increase in the past year
– 77% of Big Data roles were “hard-to-fill”
– 160% increase in demand for Big Data specialists 2013-2020 to
346,000 new jobs

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The Modern Data Scientist

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What is the EDSA about?
ESTABLISH A EUROPEAN COMMUNITY OF
EDUCATORS, LEARNERS, PRACTITIONERS,
AND POLICY MAKERS ON DATA SCIENCE

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EDSA Activities
• Surveys
• Interviews
• Dashboards
Landscaping
• Modular and media-rich
• Core, domain-specific, and
technology-specific topics
Curriculum
and
courseware
• Video lectures
• Professional training
• MOOCs
• eBooks
Courses and
learning
analytics

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Initial Version of
Module
Final Module:
eBook & Course
Webinar –
Final Recording
Webinar –
First Recording
Collection of
Module Materials Slides – First Version
Slides – Final Version
Stakeholder Communities
Industrial Advisory Board
Demand Analysis
Reflection
Module Dissemination
Online & F2F
LearningAnalytics
Curricula
EDSA Analytics
Dashboard
Reconfiguring
& Repurposing
Learners
Learning Delivery
End-to-End Approach

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Survey Response Data

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Curriculum
Foundations
• Foundations of
Data Science
• Foundations of Big
Data
• Statistical /
Mathematical
Foundations
• Programming /
Computational
Thinking (R and
Python)
Storage and
Processing
• Data Management
and Curation
• Big Data
Architecture
• Distributed
Computing
• Stream Processing
Analysis
• Essentials of Data
Analytics and
Machine Learning
• Big Data Analytics
• Process Mining
Interpretation
and Use
• Data Visualisation
• Visual Analytics
• Finding Stories in
Open Data
• Data Exploitation

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Courses portfolio
• The EDSA courses portfolio consists of a wide range of Data Science
courses adopting a variety of pedagogical models, as well as employing
different delivery channels and formats in order to address different
learning contexts and audiences.
• The EDSA courses cover all types of pedagogies, from the traditional face-
to-face pedagogical model, to the more recent trends in online education
(MOOCs and OERs).
• Course categories:
– Massive Open Online Courses (MOOCs)
– Online courses (e.g. OERs)
– Face-to-face courses
– Blended courses

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Delivery channels
• The EDSA courses employ different delivery channels and formats in order
to maximise the impact of the EDSA learning materials on the community
and bring them closer to as many students and practitioners as possible.
• In particular, the EDSA courses are available:
– Via the EDSA online courses portal
– Via the EDSA eBook

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Faceted search interface

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Learning pathways

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The EDSA eBook
• The EDSA eBook offers an
additional delivery medium for
the project’s courses, targeting
primarily tablet devices and
mobile phones.
• The eBook contains the textual
and image/video learning
resources of the EDSA self-study
courses, as well as self-
assessment exercises in the form
of quizzes.
• In order to widen the audiences
reached via different platforms,
the EDSA eBook is available both
in the iBooks and ePUB format.

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Dashboard
• http://edsa-
project.eu/resources/dashboard/
• View the current demand for data
science jobs across Europe.
• Filter demand by required skills
and region.
• View trends and statistics
regarding data science jobs and
skills for a given timeframe.
• Explore the current supply of
courses and learning materials
that will help you acquire certain
skills.
• Build personalised learning
pathways towards acquiring
certain skills.

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Next steps
• Designing a curriculum that covers
data science is an inherently difficult
task that faces a number of
challenges, most notably the speed at
which this field is changing.
• We will carry out revisions to the
curriculum and the associated
learning resources throughout the
duration of the project, in order to
reflect the most up-to-date needs of
the community and the latest cutting-
edge techniques for making sense of
data.

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Join us
• Help shape an evolving data science curriculum endorsed by the
European Commission through its Horizon 2020 programme.
• Improve the quality of data science training available across the EU by
reusing EDSA learning materials.
• Help create the next generation of world-leading data scientists by
delivering co-branded training.
• Develop the community around data science training and education
together with other EDSA members.
More info: http://edsa-project.eu