The 60-credit, level 9, Post-graduate Diploma (PGDip) in Applied Data Science will be delivered over 3-semesters. It will commence in mid-January 2024 with an onsite 1-2 day programme induction and boot-camp. Weekly classes will be delivered online, through a combination of live interactive evening classes and asynchronous contact (materials and activities). There will be one additional contact day per semester. 

 

The PGDip in Applied Data Science builds strong foundational skills, in statistics, statistical programming using python and applied database systems and more advanced knowledge of data analytics methodologies, applied data architecture and data visualization techniques. It also develops the learners understanding of modern machine learning and artificial intelligence algorithms and an awareness of their applications and future potential, alongside ethical awareness, an appreciation of the importance of strong data governance and the capability to conduct independent applied research. 

 

Students will build advanced digital competencies, develops critical thinking, research capability and specialist analytical skills together with business acumen, in an area highlighted as crucial for the workplace of the future. The programme is underpinned by industry driven problems taken directly from domains in which learners are expert. This is achieved both within modules, through case studies and data-driven projects, but also through the final focus on an Applied Industry Project. Cross-modular projects, between modules such as Statistics and Programming for Data Analytics, add to the applied focus.

 

The programme culminates in a 10-credit Applied Industry Project module, which will give students the opportunity to apply the knowledge and technical skills gained in data analytics, machine learning and artificial intelligence, in an applied setting – either in the student's current employment setting (if appropriate), through a work placement or via an applied industry relevant project. 

Learners' analytical, critical thinking and problem-solving abilities will be forged in the identification of an appropriate project proposal framed to address a specific industry need and capable of adding value to an organization. Their investigative, research and project management abilities will be employed throughout the various stages of a data analytics project – from framing a research question, through identify, managing and storing appropriate data, to analysing, modelling and interpreting outputs and finally to visualising and communicating findings for a diverse audience. Thus, allowing the leverage of data to gain insights that can inform decision-making.