Students
Tuition Fee
EUR 21,750
Per course
Start Date
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Biomedical Engineering | Health Informatics | Data Analytics
Area of study
Information and Communication Technologies | Health
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 21,750
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

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.


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