Data Analytics with Precision Diagnostics - Grangegorman

What is Data Analytics with Precision Diagnostics?

Data Analytics with Precision Diagnostics involves using customised data analytics to diagnose medical conditions and manage and tailor an individual patient’s healthcare. Data analytics involves extracting actionable insights from data and the process includes collecting, processing, cleaning, and transforming data, followed by identifying patterns within it. These patterns are then visualized and presented to provide critical diagnostic insights, enabling practitioners to use this information to improve healthcare.



The MSc Data Analytics with Precision Diagnostics addresses a significant and growing skills need in the area of data analytics and data-informed decision making, particularly in the healthcare sector, both in Ireland and internationally. Graduates of the programme will have have all the necessary technical skills, communications skills, research skills and organisational knowledge required to be effective in the application of data analytics in the real-world healthcare contexts within which they will be employed as graduates. The programme enables students with diverse disciplinary backgrounds in areas such as Computing, Science, Engineering and Business to pursue a pathway towards a Masters degree that will enable them to develop the knowledge and skills required to add significant value as data analysts in their own industry sector, or elsewhere.



The programme can be undertaken by people with an appropriate background in Biology or Healthcare, achieved either through accredited learning or professional experience and without backgrounds in Computing, thus offering a conversion opportunity for students with backgrounds in areas such as Engineering and Science.



All students complete a Data Analytics Research Project as part of the programme. For their project, students identify a specific healthcare related problem with an associated dataset, carry out a rigorous analysis and present both a client report and a research paper detailing, presenting and critiquing the process and the findings.



Other versions of the MSc Data Analytics are also available. For more information on the other programmes, see separate programme descriptions for MSc Data Analytics and MSc Data Analytics for Sport.

Course Content

All students will complete the following modules:

• Fundamentals of Analytics

• Statistics for Analytics

• Data Mining

• Current trends in Diagnostics

• Omics in Precision Diagnostics

• Advanced Bioinformatics

• Data Analytics Research Project Preparation 1

• Data Analytics Research Project Preparation 2

• Data Analytics Research Project



Students following a conversion pathway (i.e. students without a Computing background) take the following modules:

• Programming for Analytics

• Data Exploration



Students from a Computing background take the following module:

• Advanced Analytics Programming



And one elective module such as:

• Machine Learning

• Programming for Big Data

• Deep Learning

• Digital Ethics

Minimum Entry Requirements?

The minimum entry requirement for entry to the MSc Data Analytics, MSc Data Analytics with Precision Diagnostics and Data Analytics for Sport is an honours degree at the level of Upper Second Class Honours (2.1) in the area of Computing, Science, Engineering, Mathematics, or related areas with an appropriate numerate component. Students with an honours degree at the level of Lower Second Class Honours (2.2) with appropriate work experience, may be considered for admission to the programme. Other applicants who do not meet these accredited learning criteria but who have substantial experience in the relevant field may be considered through a Recognition of Prior Learning process, in line with University policy.



Applicants intending to pursue the MSc Data Analytics with Precision Diagnostics pathway must identify this intention at the application stage. To be eligible for this pathway, the applicant must meet the minimum entry requirements for the programme and must also have an appropriate background in Biology or Healthcare, achieved either through accredited learning or professional experience.



All applicants must also have an appropriate background in Biology or Healthcare, achieved either through accredited learning or professional experience.



Applicants for this programme must have English language proficiency at the level of IELTS (Academic Version) English 6.5 overall (or equivalent) with nothing less than 6 in each component.



Satisfying the minimum entry requirements for the programme does not guarantee applicants a place on the programme.

Applications for full-time and some part-time postgraduate programmes commencing in September 2026 are now open. Applications for the remaining part-time programmes will open in February 2026. Please check individual course pages for application details.

1 year full-time, on-campus delivery.



Schedule

Teaching takes place from Monday to Friday. As a twelve month programme, classes will commence in early September with the programme running until the end of August. Classes take place weekly throughout the semester and in blocks between semesters. Students will finish their Data Analytics Research Project over the summer period.

Commencement Date: September 2026.