The Open University
BSc (Hons) Data Science
The twelve 30-credit modules of my BSc (Hons) Data Science with The Open University, and the foundations they gave me in statistics, mathematics, computing and machine learning.
About this programme
These twelve 30-credit modules made up my BSc (Hons) Data Science with The Open University. Each module page keeps the original learning outcomes and reflection, and links the artefacts produced for it.
Modules in this programme
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Algorithms, data structure and computability
This module aimed to help me become a computational problem solver. I learned techniques to solve computational problems efficiently and applied those techniques using Python…
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Analysing data
This module explored fundamental statistical techniques and ideas for analyzing and interpreting data. It covered models for data, estimation, confidence intervals, hypothesis testing, and regression…
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Applied statistical modelling
What did wage rates depend on? How many medals was a nation predicted to win at the next Olympics? Could we predict a student’s exam score based on their age and which qualification they were studying…
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Data Management and analysis
This module addressed some of the key concepts required for the traditionally important area of data management and the increasingly important area of data analytics…
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Essential mathematics
This introductory module provided a broad and enjoyable foundation for university-level mathematics but required some prior knowledge…
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Interactive design and user experience
From small apps to large business systems, smartphones to intelligent environments, wearables to ambient installations, and virtual reality to augmented reality – interactive computing technologies had become part of the fabric of everyday…
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Introduction to computers and technology 1
This module was the first of two introducing computing and information technology concepts, such as digital technologies, programming, and networking…
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Introduction to computers and technology 2
This module built on Introduction to Computing and Information Technology 1 (TM111) and prepared me for further study of computing and IT modules…
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Introduction to statistics
This module taught me how to use basic statistical tools and quantitative methods useful in business, government, industry, medicine, the economy, and most academic subjects…
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Machine Learning and Artificial Intelligence
Intelligent assistants like Alexa and Siri, image searches that found the topic of a photo, and self-driving cars – these intelligent systems used machine learning to develop their expertise…
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Mathematical methods
This module taught mathematical methods used in modelling through their application to solving real-world problems. These methods include differential equations, linear algebra and vector calculus…
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Practical modern statistics
This module introduced four major topics of modern applied statistics: medical statistics, time series, multivariate analysis, and Bayesian statistics…
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