Data Science
This course gives you the opportunity to look at data across a wide range of subjects and sources, including finance, business, crime, health, education, planning, community, natural environment and social media. Students will gain hands-on experience of handling data through your coursework and projects.
| Award Name | Postgraduate Diploma at UK Level 7 |
|---|---|
| NFQ Classification | |
| Awarding Body | University of Sunderland |
| NFQ Level |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Postgraduate Diploma at UK Level 7 | University of Sunderland |
Duration
1 Year
• 4 x 12 week terms
• Live classes every Tuesday and Thursday evenings for 2 hours
• 3 Saturday mornings every term
• Online & interactive course content, discussion forum & webinars
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.
Further information
Next start date: 08/03/2024
Application Deadline: 03/03/2024
Course Aims and Learning Outcomes
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.
Qualification Gained
Postgraduate Diploma in Data Science FHEQ level 7 comparable to NFQ level 9
Course Modules
• Quantitative Data Analysis
• Mental Wealth; Professional Life (Data Ecology)
• Advanced Decision Making: Predictive Analytics & Machine Learning
• Spatial Data Analysis
Assessment
Modules are allocated a mark out of 100%. The pass mark for each module is based on an aggregate mark of 50%. Where there is more than one component to the assessment, the aggregate mark comprises marks from components whose threshold is 40%.
Assessment may incorporate one, or two components.
The module specifications specify the mode of assessment for each module.
All the learning outcomes of the course are assessed through:
• Laboratory session portfolios
• Coursework
Admissions Contact Details
Jason Kielty
Phone: 016855300
Email: springboard@chevroncollege.ie