Curriculum

The curriculum has been constantly updated based on the process model that is adopted by the project for the production of learning resources (see figure below). This model is driven by a participatory approach that defines a series of iterations in the production of learning materials, with multiple revisions from internal and external stakeholders, in order to ensure high quality in the produced materials.

Final curriculum (July 2017)

Module Topic Stage Status as of July 2017
1 Foundations of Data Science Foundations Released and revised
2 Foundations of Big Data Foundations Released
3 Statistical / Mathematical Foundations Foundations Released
4 Programming / Computational Thinking (R and Python) Foundations Newly released
5 Data Management and Curation Storage and Processing Released
6 Big Data Architecture Storage and Processing Released
7 Distributed Computing Storage and Processing Released and revised
8 Data Intensive Computing Storage and Processing Newly released
9 Linked Data and the Semantic Web Storage and Processing Released as FutureLearn MOOC in April 2016
10 Machine Learning, Data Mining and Basic Analytics Analysis Released and revised
11 Big Data Analytics Analysis Released
12 Process Mining Analysis Released
13 Social Media Analytics Analysis Newly released
14 Data Visualisation and Storytelling Interpretation and Use Released
15 Data Exploitation including data markets and licensing Interpretation and Use Newly released

Revised curriculum (July 2016)

Module Topic Stage Status as of July 2016
1 Foundations of Data Science Foundations Released and revised
2 Foundations of Big Data Foundations Released
3 Statistical / Mathematical Foundations Foundations Newly released
4 Programming / Computational Thinking (R and Python) Foundations To be released in July 2017
5 Data Management and Curation Storage and Processing Newly released
6 Big Data Architecture Storage and Processing Released
7 Distributed Computing Storage and Processing Released and revised
8 Stream Processing Storage and Processing To be released in July 2017
9 Linked Data and the Semantic Web Storage and Processing Released as FutureLearn MOOC in April 2016
10 Machine Learning, Data Mining and Basic Analytics Analysis Released and Revised
11 Big Data Analytics Analysis Newly released
12 Process Mining Analysis Released
13 Social Media Analytics Analysis To be released in July 2017
14 Data Visualisation and Storytelling Interpretation and Use Newly released
15 Data Exploitation including data markets and licensing Interpretation and Use To be released in July 2017

Initial curriculum (July 2015)

Module Topic
1 Foundations of Data Science
2 Foundations of Big Data
3 Statistical / Mathematical Foundations
4 Programming / Computational Thinking (R and Python)
5 Data Management and Curation
6 Big Data Architecture
7 Distributed Computing
8 Stream Processing
9 Machine Learning, Data Mining and Basic Analytics
10 Big Data Analytics
11 Process Mining
12 Data Visualisation
13 Visual Analytics
14 Finding Stories in Open Data
15 Data Exploitation including data markets and licensing

What do you think about our curriculum? Are there any modules you are particularly interested in? Please leave your feedback in the comments section below.

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