Master of Science in Data Analytics with Precision Diagnostics
| Program start date | Application deadline |
| 2025-09-01 | - |
Program Overview
Data Analytics with Precision Diagnostics
Overview
Data Analytics with Precision Diagnostics involves using customized 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.
Program Details
Course Title
Master of Science in Data Analytics with Precision Diagnostics
TU Code
TU422
NFQ Level
Level 9
Award Type
Major
Award
Master of Science
ECTS Credits
90
Duration
1 Year
Course Type
Postgraduate
Mode of Study
Full Time
Method of Delivery
On-Campus
Commencement Date
September 2025
Location
Grangegorman
Fees
€8,500 Total Fee (EU), €21,750 Total Fee (Non-EU)
Program Description
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 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.
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.
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.
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.
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
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.
