School of Mathematics & Statistics

Yes, you can register for more than one course during your application. If you would like to take more than one CPD course during one academic session, then it’s much easier to register for all your courses at the same time. This means you would only need to complete the application form once.

There are no formal entry requirements to take a CPD course with us. We do ask that you check each course carefully to ensure that you understand the pre-requisites for each course before registering. It is your responsibility to ensure that you have the necessary prior knowledge before committing to a course.

Each course web page provides a description of pre-requisites knowledge. These can be found on the CPD page. Please ensure you check this before registering for a course.

You can find a full description for the courses we have on offer on the CPD page.

This is your choice. You can opt to take the course for credit or not for credit. If you select ‘for credit’ then you will be required to complete the course assessments. If you complete at least 75% of the course assessment they you will receive academic credit for the course and a final grade for the course. If you select ‘not for credit’ then you will receive a certificate indicating your participation in the course.

No, there is no obligation for you to travel to Glasgow at any point. All assessments on the programme can be taken remotely.

Most courses have a variety of different assessments from short quizzes (worth between 5-10%) to larger projects (worth between 30-50%).

Some courses are assessed by online class tests that you can take at home, however you will be expected to be available on certain days. For more information, please see the assessment information for each course.

Courses that are usually assessed via class tests are Data Science Foundations (Learning from Data), Predictive Modelling, and Probability and Sampling Fundamentals.

If you complete a course for credit, i.e. you complete the course assessment, then this can be used as prior learning if you later apply for the full programme.

There is a limit to the amount of prior learning that you can use. If you would like to apply to the MSc or PGDip, then a maximum of 6 courses can be completed through CPD. If you would like to apply to the PGCert then a maximum of 3 courses can be completed through CPD.

Please note that you need to meet the entry requirements for the programme and apply via the website which can be found below.

MSc in Data Analytics (online)

All the learning material is delivered asynchronously on a weekly basis. Most courses offer weekly or fortnightly live sessions, similar to online lecturers. The timings of the live sessions depend on the specific cohort of students and the course lecturer(s) availability. Students will be informed of the specific timings at the beginning of each semester. All sessions are recorded and made available afterwards for students who either wish to watch them back, or could not make the session.

The university associate a 10-credit course (with all the taught courses on this programme being 10 credit courses) to 100 hours of learning. This would roughly equate to 8-9 hours per week over a 11-12 week semester per 10-credit course. This is highly dependent on the previous experience of the student. For example, we find students with a programming background spend significantly less time studying on programming courses, or students with a statistics background to spend significantly less time on the statistics courses. Please also factor in time to complete assessment (if you choose to complete the assessment) and attend or watch hourly live sessions. Assessments can take anywhere from 1 hour (for smaller quizzes) to 2-3 weeks (for larger projects).

Please check the CPD website to find the registration deadline for each course. Please note that the deadline is not the same for each course, and depends on the course start date.

This can happen for two reasons. Either the registration deadline may have passed for the course or the course has reached full capacity.

In the former case, please check back in August to check which courses we are offering next year when the registration process will open for the next academic year.

In the latter case, you will be given the option to be notified if a place becomes available on the course. If a place becomes available, you will receive an email around 1 week before the start of the course. If you still would like to take the course, you need to complete registration as soon as possible. Receiving this email is not conformation that you have a place on the course, and places are allocated on a first-come, first-served basis.

Once you register for a course, you will receive an email with a link to an application form. In order to secure your place on the course, you must submit the application form. If you do not submit the application form by the given deadline, we will assume that you no longer wish to take the course and you place may be given to someone else. Please notify us as soon as possible to let us know you are having problems completing the application form by emailing maths-stats-analyticscpd@glasgow.ac.uk.

You will be asked for payment as soon as you financially register. You will receive an email with specific information on academic and financial registration and so please read this email carefully.

Please read the guidelines on how to print an invoice.

If you cannot enrol yourself to your course, please contact the Maths & Statistics Helpdesk.

Please read the guide on any problems uploading your award letter.

Yes, all students and staff need to complete the same registration form and will be charged for these courses. We are not able to waive fees.

Please firstly consult the handbook. This contains more detailed information about the programme and the services available to students on the programme. You may also contact the management team via email - maths-stats-analyticsmsc-management@glasgow.ac.uk.