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Master of Mathematical Modelling
Auckland
INTAKE: Jul & Feb
Program Overview
The Master of Mathematical Modelling program at the University of Auckland is crafted to cater to students seeking expertise in mathematical techniques applied across diverse disciplines. It integrates theoretical concepts with practical applications, preparing graduates to excel in roles requiring mathematical modeling skills.
Curriculum: The curriculum of the Master of Mathematical Modelling program encompasses a wide range of subjects essential for mastering mathematical modeling techniques. Students delve into topics such as differential equations, statistical modeling, optimization, computational methods, and numerical analysis. The program's interdisciplinary approach enables students to apply mathematical theories to solve complex problems in fields like engineering, finance, biology, and more.
Research Focus: A distinctive feature of this program is its emphasis on research in mathematical modeling. Students engage in research initiatives exploring various mathematical modeling applications. The University of Auckland provides access to advanced computational resources and research facilities, fostering an environment conducive to innovative research endeavors. Under the guidance of experienced faculty members, students explore diverse research areas, contributing to advancements in mathematical modeling.
Industry Engagement: The University of Auckland maintains strong ties with industry partners, ensuring the program remains aligned with industry requirements and advancements. Collaborations with leading companies, industry-driven projects, guest lectures, and internships offer students practical exposure and networking opportunities. Industry-relevant projects integrated into the curriculum enhance the applicability of learning, preparing students for careers requiring mathematical modeling expertise.
Global Perspective: Recognizing the importance of a global outlook, the program promotes a diverse and inclusive environment. It integrates global perspectives by exploring international case studies, inviting experts from around the world for lectures, and encouraging collaboration among students from diverse cultural backgrounds. This exposure broadens students' horizons, preparing them to apply mathematical modeling in a global context.
Location
Auckland
Score
IELTS 6.5
Tuition Fee
NZD 48622
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs usually need a bachelor's degree or an equivalent qualification from a recognized institution. The entry requirement may specify a minimum score of 60% or higher in the previous academic degree.
English Language Proficiency:
- IELTS: Overall score of 6.5 or 7.0, with no band below 6.
- TOEFL: Overall score of 90 with no individual section below 21.
- PTE: Overall score of 58, with a minimum of 50 in each section.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Auckland offers various scholarships specifically designed to support and encourage international students in their academic pursuits. These scholarships aim to attract high-achieving students from around the world and provide financial assistance to help them achieve their educational goals at the university.
Merit-Based Scholarships: The University of Auckland offers merit-based scholarships recognizing academic excellence. These scholarships are awarded to students with outstanding academic achievements in their previous studies, supporting them throughout their undergraduate or postgraduate programs.
Need-Based Grants: For students facing financial challenges, the university provides need-based grants to assist with tuition fees or living expenses. These grants aim to ensure that deserving students have the opportunity to pursue their education without financial constraints.
Research Scholarships: The university also offers research scholarships for international students interested in pursuing research-based programs. These scholarships support students engaged in innovative research projects and contribute to the university's academic research endeavors.
Country-Specific Awards: Additionally, the University of Auckland provides scholarships specifically designated for students from certain countries. These awards aim to promote cultural diversity and international collaboration by attracting students from diverse geographical backgrounds.
Completing the Master of Mathematical Modelling program at the University of Auckland opens doors to a wide array of rewarding career opportunities across various industries where advanced mathematical skills are highly valued.
Data Scientist/Analyst: Graduates can pursue roles as data scientists or analysts, leveraging their mathematical modeling skills to analyze complex datasets, derive insights, and make data-driven decisions in fields such as finance, healthcare, or technology.
Financial Analyst/Quantitative Analyst: Professionals in this field use mathematical modeling to analyze financial data, assess risks, develop models for pricing financial instruments, and make investment decisions in banking, investment, or insurance sectors.
Operations Research Analyst: Careers in operations research involve using mathematical models to optimize processes, solve logistical problems, and enhance decision-making efficiency in various industries like logistics, transportation, and manufacturing.
Biostatistician/Bioinformatician: Graduates can work in healthcare or biological research, using mathematical models for analyzing biological data, conducting clinical trials, or developing computational models in genetics or bioinformatics.
Environmental Analyst/Modeler: Professionals in this field use mathematical models to understand environmental phenomena, predict impacts, and develop solutions for environmental issues in areas such as climate change, conservation, or sustainability.
Software Engineer/Algorithm Developer: Careers in software engineering involve developing algorithms and computational models, utilizing mathematical concepts to create software solutions in areas like machine learning, artificial intelligence, or simulation.
Consultant: Graduates can work as mathematical consultants, providing expertise in mathematical modeling for organizations seeking solutions to complex problems, optimization strategies, or predictive modeling.
Research Scientist/Academia: Individuals interested in research can pursue roles in academia or research institutions, conducting advanced research in mathematical modeling, contributing to academic publications, and educating future professionals in the field.
Risk Management Specialist: Professionals specializing in risk management use mathematical models to assess and manage risks in various industries, ensuring decision-makers have reliable data for risk analysis and mitigation strategies.
