Course Title: Postgraduate Certificate in Fundamentals of Data Science
The minimum admission requirements for entry to the PgCert in Data Science Fundamentals are a 2.1 classification level 8 degree in a non-computing related degree or a 2.2 classification level 8 degree with at least 2 years of relevant industry experience.
All applicants require to have demonstrated strong numeracy and analytic skills which should be described in your supporting statement.
Applicants should provide a full CV and a personal statement to support their application.
The Postgraduate Certificate in Fundamentals in Data Science (Conversion) is a one-year part time course which aims to provide non-computing graduates an opportunity to upskill in the developing area of data analysis and data science.
This is a postgraduate programme at level 9 in the National Framework of Qualifications. Applicants are required to have a strong numerate background. The course covers the key skills needed for an entry level position in data analytics, including modules in programming, databases, data wrangling and data analysis. It is very practically focussed with students developing skills in the main tools, methods and techniques used in the domain.
It is a part time course with evening delivery, over two evenings per week.
Core Modules:
- Object Oriented Software Development
- Information Systems
- Data Wrangling
- Data Analytics
TU257 is a part-time course with evening delivery, over two evenings per week in both semesters. Classes start at 6pm or 6.30pm depending on the module.
This course will be delivered in a blended mode with majority of learning activities delivered online with a number of onsite face-to-face touch points in each semester. These touch points include the induction event at the beginning of the academic year and face-to-face lectures and lab in weeks 1, 7 and 13 of each semester. In order to facilitate students who cannot attend, each face-to-face activity will be accompanied by an online version of the event – lectures and labs will be livestreamed from the classroom.
Applications for this course are now open. Apply Online Now