Data Science
This course is designed to give you the opportunity to:
Develop knowledge and research skills in Data Science to empower you as a higher professional.
Understand the ecology within which a Data Scientist operates and the professional skills required to do so.
Be skilled in Data Science techniques using a suite of industry standard, open-source platforms to extract value from data.
Understand how to apply Data Science techniques in your chosen domain and/or background discipline.
What you will learn
Knowledge
Analyse and critically evaluate projects and research outputs in Data Science
Engage in knowledge production through dissertation research
Have a critical understanding of and be able to engage with the data value chain in professional settings
Thinking skills
Critical thinking and evidential reasoning
Reflect on your professional and research practice
Ability to make cross-disciplinary connections with other professionals and scientists
Subjects taught
Course Modules
Quantitative Data Analysis
Mental Wealth; Professional Life (Data Ecology)
Advanced Decision Making: Predictive Analytics & Machine Learning
Spatial Data Analysis
Entry requirements
Applicants should have a Bachelor Degree with a minimum 2.2 Honours in Physical and Biological Sciences, Engineering, Social or Behavioural Sciences and Humanities related subjects.
If English isn't your first language, you may need to provide evidence of your English language ability. We accept IELTS at 6.0 overall with no individual component below 5.5 or equivalent.
Duration
4 x 12 week terms
Live classes every Tuesday and Thursday evenings for 2 hours
3 Saturday mornings every term