Master of Science in Nutrition & Health Analytics

Master of Science in Nutrition & Health Analytics

Faculty of Engineering & Science
Award Class Major Award
Awards
MSc
Programme Code CR_SNUHA_9 Mode of Delivery Fully Online No. of Semesters 6
NFQ Level 9 Embedded Award No Programme Credits 90
Next Review Date
Review Type Date
Programmatic Review 01/05/2026
Department BIOLOGICAL SCIENCES - CORK
 

Programme Outcomes

Upon successful completion of this programme the graduate will be able to demonstrate... :

# PO Domains Programme Learning Outcome
PO1 Knowledge - Breadth Knowledge of advanced concepts, theories and practices spanning both nutrition & health and computer sciences; planning, managing and developing medium to large scale projects in nutrition and health sciences; utilising the most current design principles, methodologies and technologies
PO2 Knowledge - Kind That they can critically understand and evaluate a wide range of current theories, technologies and application areas in nutrition & health and computer science including the embedded legal and ethical frameworks; research solutions to complex issues; evaluate different approaches to problem solving acknowledging strengths and limitations of different methodologies
PO3 Skill - Range That they can identify ill-defined research problems; apply computational, statistical, numerical, research and/or analytical skills to solve complex issues related to nutrition & health; manage ill-defined projects as part of a group or as an individual; source relevant information, critically interpret and apply appropriate referenced literature from a wide range of information sources
PO4 Skill - Selectivity That they can independently assess and select knowledge in novel and emerging nutrition & health and computational technologies; research complex projects and use the research literature to propose new solutions; integrate various principles and approaches to successfully plan and implement a project in nutrition & health sciences; compare with existing solutions and select the most appropriate approach for a specified project
PO5 Competence - Context That they can apply advanced research skills to provide solutions for nutrition & health science related issues; independently critically evaluate existing and emerging concepts, technologies, and methodologies; formulate and communicate judgements to ill-defined projects
PO6 Competence - Role That they can: lead teams on medium to large scale projects related to nutrition & health science; manage long-term individual and group projects; communicate project plans; prepare plans, reporting documentation, conference papers, technical reports, presentations and posters; communicate project outcomes both formally and informally; communicate effectively within a team environment; execute effectively with the nutrition & health and computer science community; perform research, innovate, solve problems and design new studies.
PO7 Competence - Learning to Learn That they can master the use of nutrition & health related data; investigate and solve ill-defined problems; evaluate their own performance and knowledge base; use available resources to redress knowledge gaps and succeed with long-term and large-scale individual and team projects; discuss and debate problems and solutions with their peers; investigate and evaluate proposed designs with their peers; compare and contrast design approaches adopted by their peers
PO8 Competence - Insight That they can act in a manner consistent with the best interests of clients, colleagues and other stakeholders and the general public; draw conclusions from large-scale project work; critically evaluate modelling, design and experimental work, also in accordance with best practices, health and safety, ethics and GDPR regulations; relate experimental work to theoretical frameworks; adhere to highest ethical standards in execution of their work; adhere to all health and safety standards during the execution of their work
 

Semester Schedules

Year 1 / Semester 1

Mandatory 
Code Title Module Coordinator Version Credits
BIOL9014 Advanced Dietary Assessment Brigid Lucey 1 5
BIOL9015 Digital Health for Research Brigid Lucey 1 5
COMP9087 Scien. Prog. for Biologists Brigid Lucey 1 5

Year 1 / Semester 2

Mandatory 
Code Title Module Coordinator Version Credits
BIOL9016 Applied Epidemiology Brigid Lucey 1 5
DATA9002 Distributed Data Management Brigid Lucey 1 5
COMP9086 Processing and Visualization Brigid Lucey 1 5
 

Year 2 / Semester 1

Mandatory 
Code Title Module Coordinator Version Credits
COMP9085 Machine Learning in Biology Ted Scully 1 5
GENE9001 Personalised Nutrition Brigid Lucey 1 5
INTR9027 Strategic Project Management Brigid Lucey 1 5

Year 2 / Semester 2

Mandatory 
Code Title Module Coordinator Version Credits
STAT9008 Applied Statistics for Biology David Goulding 1 5
BIOL9017 Contemporary Nutrition Issues Brigid Lucey 1 5
Elective 
Code Title Module Coordinator Version Credits
COMP9067 Deep Learning Ted Scully 1 5
FOOD9001 Sustainable Food Production Brigid Lucey 1 5
 

Year 3 / Semester 1

Mandatory 
Code Title Module Coordinator Version Credits
BIOT9003 Research Project Brigid Lucey 2 30