The aim of the programme is to provide the basis of core skills required in order to become a data scientist. Those completing the programme will gain knowledge and skills to extract, transform, and load (ETL) data, to conduct exploratory data analysis, data cleansing, data visualisation, investigation and data programming using the R and Python programming languages and their relevant frameworks.
The course will start in January 2021 with the bulk of teaching completed by the end of March 2021. Assessment activities will follow-thereafter.
The course is taught in block delivery mode where each module consists of 4 full weeks and requires one full time week of taught classes per module along with online material and support available for the remaining 3 weeks. In order to replicate the interactive nature of on-campus delivery, the online delivery will include:
- Several masterclasses that both present and explore course topics. The masterclasses will be delivered live to permit learners to connect and ask / answer questions. The classes will also be recorded to permit flexible on-demand access.
- Weekly practice activities including set exercises, coding challenges and other tasks to reinforce learning and build practical skills.
- Online learning materials (directed reading, study packs, etc.) which leaners will study in their own time each week.
- Regular formative assessment to measure learner progress and to provide advice and direction.
- Online advisory support for learners to connect with experts to provide bespoke one-to-one support. Offered Monday to Friday, daytime to early evening, to flexibly support leaners.
Approximately 20-24 hours of study effort will be expected each week from those enrolled on the course. A computer and Internet connection will be required.
Opportunities for Progression
Careers and Further Study
The PgCert in Data Analytics contains the first 60 credits of the established and well-regarded MSc in Data Analytics programme. Those graduating with a certificate will be able to access entry-level jobs within the broad analytics sector (e.g. junior data scientist/analyst).
Those who wish to continue their studies will be given the opportunity to transfer directly into the second year of the part-time MSc in Data Analytics which is also taught in block delivery mode, but face to face. As part of the MSc Data Analytics, we include a 12 week industry placement to be completed by September 2021.
If you are seeking to continue with your professional development you will have the opportunity to self-fund progression to the full Master’s subject to meeting the academic requirements for progression.
Admissions and Requirements
Normally at least a 2.2 UK honours-equivalent degree in mathematics, statistics, computing or related discipline. For those in a related discipline, appropriate work experience will also be assessed using the RPEL (Recognition or Prior Experiential Learning) framework. Applicants may also be required to complete a short on-line aptitude test that will provide feedback on course suitability.
Places on this programme are limited in number. Where there are more eligible applications received than places available, the academic selectors for this programme will make offers based on performance in the aptitude test and first degree classification on a ranked basis. We will operate a waiting list as required to allow us to fill all available places.