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Professional Masters
Sheffield Hallam University
Full Time
SEP
2 Years
Select a course option
Professional Masters
Sheffield Hallam University
Full Time
SEP
2 Years
Professional Masters
Sheffield Hallam University
Full Time
JAN-27
2 Years
Professional Masters
Sheffield Hallam University
Full Time
SEP-26
2 Years
Professional Masters
Sheffield Hallam University
Full Time
JAN-26
2 Years
Select a an exam type
Course summaryThis course expands your programming knowledge with technical concepts across key areas of data science and AI. You’ll gain practical experience by creating learning models for data, while applying AI methods such as machine learning and neural networks. You’ll also learn from data, ethics and privacy issues related to deploying AI technologies to data.How you learnThe course builds on your foundational knowledge by introducing programming for data analytics, data manipulation and visualisation, and machine learning foundations. You’ll also explore neural networks and their application to make decisions based on data. We’ll consider ethics, security, privacy and AI-bias in data, alongside the fundamental data analytics and AI technologies, and responsible approaches to their use and applications. You learn through: lecturestutorials and seminarsregular feedbacklaboratory sessionsreal-world problem and practical activity-based sessions and assessmentgroup and individual project work
Undergraduate degree at 2:2 or above with evidence of some programming experience (work experience or degree).
Students living in
Domestic
£12,120 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£19,225 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£19,225 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
Founded over 175 years ago, Sheffield Hallam University offers academic excellence in an environment where postgraduate students work...
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