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Course code
Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.
- 161777
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Level
The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).
- 700-level
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Credits
Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.
- 15
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Subject
- Statistics
Course planning information
Course notes
Access to a Windows PC is required for analysis of data.
Restrictions
You cannot enrol in this course if you have passed (or are enrolled in) any of the course(s) above as these courses have similar content or content at a higher level.
General progression requirements
You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.Learning outcomes
What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.
- 1 Compare and justify the selection of statistical and machine learning models for complex data analysis.
- 2 Apply data mining software tools (such as SAS) to prepare, model and interpret data.
- 3 Apply advanced Data Mining techniques to analyse and interpret complex data sets.
- 4 Critically evaluate the methodology, analysis and conclusions of technical reports in data analytics.
Learning outcomes can change before the start of the semester you are studying the course in.
Assessments
| Assessment | Learning outcomes assessed | Weighting |
|---|---|---|
| Written Assignment | 1 2 4 | 20% |
| Written Assignment | 1 2 4 | 20% |
| Written Assignment | 2 3 | 20% |
| Written Assignment | 1 2 3 4 | 40% |
Assessment weightings can change up to the start of the semester the course is delivered in.
You may need to take more assessments depending on where, how, and when you choose to take this course.
Explanation of assessment types
Explanation of assessment types
- Computer programmes
- Computer animation and screening, design, programming, models and other computer work.
- Creative compositions
- Animations, films, models, textiles, websites, and other compositions.
- Exam College or GRS-based (not centrally scheduled)
- An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
- Exam (centrally scheduled)
- An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
- Oral or performance or presentation
- Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
- Participation
- You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
- Portfolio
- Creative, learning, online, narrative, photographic, written, and other portfolios.
- Practical or placement
- Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
- Simulation
- Technology-based or experience-based simulations.
- Test
- Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
- Written assignment
- Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.
Textbooks needed
There are no set texts for this course.