📖Program Curriculum
You will undertake a number of taught modules to equip you with the skills required for data science research. These modules are taught through lectures practicals and small group work and are assessed through a variety of course work and exams.
Compulsory modules:
Mathematical Foundations (10 credits)
Statistics for Data Science (10 credits)
Representing and Manipulating Data (20 credits)
Commercial and Scientific applications (20 credits)
Relational and non-relational databases (20 credits)
Data Analytics (20 credits)
Cluster Computing (20 credits)
Research Dissertation project (60 credits)
To prepare for the professional doctorate an independent research project (60 credits) will include a systematic review of an appropriately challenging applied research topic area and development of a full Doctorate research proposal as outputs – assessed through an oral viva exam and research poster presentation.
Following the taught component you will undertake a period of industry-led applied research (360 level 12 credits) by working with experienced academic and industrial supervisors on original piece(s) of an applied research project. The project could either be a single long project or a portfolio of data-centric projects depending on the industrial organization’s strategic priority needs. Outcomes will be presented in a doctoral dissertation assessment through a viva examination by internal and external examiners.
Modules
The module information below provides an example of the types of course module you may study. The details listed are for the current academic year (September 2022). Modules and start dates are regularly reviewed and may be subject to change in future years.
