PhD Monitor
/Detail
Nutrition, Exercise, and Rehabilitation● OpenMastersPreview

MSc in Nutrition & Health Analytics (Online)

An interdisciplinary online master’s programme blending nutritional science, computer science, and mathematics for data-driven health solutions.

Best for:Best for professionals with a nutritional science or food science background who want to develop expertise in health data analytics and computational methods for evidence-based nutrition research.

Munster Technological University (MTU) · N/A (Online), Ireland
More professors at Munster Technological University (MTU)
health data analyticsnutritional sciencefood sciencecomputational methods in healthevidence-based nutritiondata-driven health solutions
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years (part-time, online)
Start date
flexible (online programme)
Part-time
Location
N/A (Online)
Ireland

Overview

This two-year online MSc programme at Munster Technological University (MTU) integrates expertise from Biological Sciences, Computer Science, and Mathematics to equip students with advanced analytical skills for nutrition and health research. Delivered in a flexible, part-time format, it is designed for professionals seeking to specialise in data analytics within the health sector. The curriculum combines theoretical knowledge with practical applications, preparing graduates to address real-world challenges in health analytics. Ideal for those with a background in nutritional science, food science, or related disciplines, the programme emphasises interdisciplinary collaboration and evidence-based decision-making.

online master's programmehealth analyticsnutritional sciencefood sciencedata analyticspart-time educationinterdisciplinary researchevidence-based health

What you'll do

  • Develop advanced analytical skills to interpret and apply health and nutrition data using computational methods.
  • Engage in interdisciplinary research projects combining nutritional science, computer science, and mathematics.
  • Apply evidence-based approaches to address real-world challenges in public health and nutrition.
  • Collaborate with subject experts across Biological Sciences, Computer Science, and Mathematics departments.
  • Conduct independent research and produce a master’s thesis on a topic related to nutrition and health analytics.
  • Utilise data-driven techniques to inform health policy, dietary recommendations, and public health interventions.

Requirements

Degree required: A Level 8 (Honours Bachelor’s) degree in Nutritional Science, Food Science, or a related discipline with a minimum H2.2 classification (or equivalent), as approved by the department head.

Degree offered: MSc (Master of Science)

Language: English proficiency (assumed for applicants with a degree from an English-speaking institution; otherwise, proof of proficiency may be required).

Instruction: English

Required skills
  • Proven academic background in nutritional science, food science, or a closely related field.
  • Basic proficiency in data analysis and computational methods (e.g., statistical software, programming tools).
  • Strong analytical and problem-solving skills.
  • Ability to work independently and collaboratively in an interdisciplinary setting.
Nice to have
Experience with data visualisation tools (e.g., R, Python, SPSS).Prior exposure to health informatics or public health research.Familiarity with health data standards and databases.
Eligibility
  • Applicants must hold a recognised Level 8 degree in Nutritional Science, Food Science, or a related discipline.
  • No specific nationality or residency restrictions are mentioned.
  • No age restrictions or prior experience caps are specified.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years (part-time, online)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applicants must apply directly through the MTU online application portal. The process involves submitting academic transcripts, proof of degree equivalence (if applicable), and any additional documents required by the department. No specific deadline is mentioned, but applicants are encouraged to apply as early as possible.

Documents required
  • Academic transcripts (Level 8 degree and any relevant prior qualifications)
  • Proof of English proficiency (if applicable)
  • Statement of purpose or research proposal (if required)
  • Curriculum Vitae (CV)
↗Check programme and admissions

Contact

Lab
Biological Sciences, Computer Science, and Mathematics
Munster Technological University (MTU)
Ireland
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.