The Master of Science (MSc) at AUT – Knowledge that works is an advanced postgraduate programme designed for students who want to develop specialist scientific expertise, research capability, analytical thinking, and industry-relevant scientific skills. The programme combines coursework with a major research project and offers specialisations in areas such as biomedical science, chemistry, environmental science, marine science, food science, geospatial science, microbiology, molecular genetics, and computer and mathematical sciences.

Auckland University of Technology (AUT) is one of New Zealand’s leading modern universities, internationally recognised for:

• Applied and industry-connected learning
• Research excellence and innovation
• Practical teaching methods
• Modern scientific laboratories and research facilities
• Strong graduate employability
• Small class sizes and supportive learning environments

AUT’s science programmes emphasise:

• Research-led learning
• Real-world scientific applications
• Laboratory and field-based experience
• Interdisciplinary science and technology integration
• Industry collaboration and innovation-focused education

Why Study Master of Science at AUT?

• Complete advanced research in an area of personal scientific interest
• Learn from AUT’s research-active scientific faculty
• Access advanced laboratories, computing facilities, and research equipment
• Flexible programme with multiple science and technology specialisations
• Strong focus on applied scientific research and innovation
• Pathway into doctoral research and academic careers
• Opportunity to specialise in emerging fields like geospatial science, sustainability, analytics, and biotechnology
• Industry-relevant learning with practical research experience
• Friendly and collaborative postgraduate research environment
• Part-time study available for working professionals 

Subjects / Topics Offered

Computer and Mathematical Sciences Courses

Examples include:

• Artificial Intelligence
• Data Mining and Machine Learning
• Big Data and Data Warehousing
• Mobile System Development
• Financial Modelling
• Analytics
• Optimisation and Operations Research
• Computational Mathematics
• Simulation and Modelling

Example Courses

• COMP809 – Data Mining and Machine Learning
• COMP813 – Artificial Intelligence
• STAT802 – Advanced Topics in Analytics
• MATH803 – Mathematical Modelling and Simulation

Science Courses Offered

Biomedical Science

Topics:

• Molecular biomedicine
• Biomedical ethics
• Genetics
• Laboratory quality assurance

Chemistry

Topics:

• Drug discovery
• Molecular spectroscopy
• Biological inorganic chemistry
• Light-responsive molecules

Environmental Science

Topics:

• Climate change biology
• Sustainability
• Environmental microbiology
• Geospatial analysis

Food Science

Topics:

• Food microbiology
• Sustainable food development
• Food processing technology

Geospatial Science

Topics:

• Remote sensing
• GIS and spatial analytics
• Geospatial visualisation

Marine Science

Topics:

• Marine biodiversity
• Marine sustainability
• Ocean data analysis

Microbiology & Molecular Genetics

Topics:

• Environmental microbiology
• Molecular genetics
• Biotechnology ethics

Disciplines / Specialisations Offered

Students may complete the Master of Science with or without a specialisation.

Available Specialisations

• Biomedical Science
• Chemistry
• Environmental Science
• Food Science
• Geospatial Science
• Marine Science
• Microbiology
• Molecular Genetics
• Computer and Mathematical Sciences

Research Opportunities

The MSc includes substantial research training.

Students may:

• Conduct laboratory-based scientific research
• Participate in environmental and marine fieldwork
• Develop computational or data-driven scientific projects
• Produce publishable scientific research
• Work closely with AUT supervisors and research teams

Career Outcomes

Graduates may pursue careers in:

• Scientific Research
• Biotechnology
• Biomedical Research
• Environmental Consulting
• Marine Science
• Food Technology
• Data Analytics
• Artificial Intelligence and Machine Learning
• Geospatial Analysis
• Laboratory Science
• Government Research Agencies
• Pharmaceutical Industries
• Sustainability and Conservation
• Scientific Policy and Regulation
• University Research and Teaching

The degree also provides pathways into:

• Doctor of Philosophy (PhD)
• Advanced research careers
• Scientific leadership positions

Programme Highlights

• Advanced research-focused master’s degree
• Multiple science and technology specialisations
• Industry and research integration
• Modern scientific laboratories and facilities
• Strong postgraduate research supervision
• Flexible study structure
• Opportunities for publication-quality research
• Internationally recognised qualification
• Pathway to doctoral study

Latest Updates / Special Requirements

Important Notes

• Some courses are offered only once per year
• Course availability depends on enrolment demand
• Timetables may change annually
• Some specialist courses require prior academic background
• Geospatial Science intake begins only in February
• Research project approvals and supervisor matching may be required before enrolment

AUT also continues expanding research activity in:

• Sustainability science
• Climate change research
• Data science and AI
• Marine conservation
• Biotechnology
• Remote sensing and geospatial analytics

Student Experience and Community Feedback

Recent student discussions mention:

• Strong postgraduate support
• Collaborative research environment
• Opportunities to connect with students across scientific disciplines
• Practical and research-oriented learning culture

Visa Requirements for International Students

International students generally require:

• Valid New Zealand student visa
• Official AUT Offer of Place
• Proof of tuition fee payment
• Evidence of sufficient living funds
• Valid passport
• Medical and travel insurance
• English language proof
• Health and character documentation