Course Summary
This course studies a range of modern topics in statistics at Postgraduate Certificate level.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
Students wishing to enrol should normally possess at least the equivalent of: EITHER a qualification in Mathematics at level 7 on the National Framework of Qualifications and at least one year of relevant subsequent experience in a statistical role or two years of subsequent experience in an applicable area; OR a qualification at level 8 on the National Framework of Qualifications in any area with sufficient experience of a numerate discipline.
The Recognition of Prior Learning (RPL) procedures of the Institute will be used in assessing applicants who have qualifications not placed on the National Framework of Qualifications.
Application Details
Applications for courses commencing in September 2025 will open in November 2024.
Commencement Date: September 2025
Fees
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
The demand for statistical expertise has never been greater, brought about, in part, by the increase in the amount of data collected and analysed by organisations and also by the expectation on both the public and private sector for excellence in the area of metrics and intelligence-based decision making. Graduates of this programme will be ready to take up data analysis and data scientist roles in sectors such as finance, manufacturing and engineering, internet technology, healthcare, government and non-profit organisations.
Duration
Mode of Study: Part Time
Method of Delivery: Online
Schedule
Each module is delivered over one semester. Online lectures and tutorials are held in the evenings.
Monday (Online)
18:30 - 22:00
Wednesday (Online)
18:30 - 22:00