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Masters Degrees in Mathematics, New Zealand

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The modern world depends on instant, seamless communications systems to meet consumer expectations. Therefore, an ongoing demand exists both in the public and private sectors for professionals with advanced planning, analysis and research abilities. Read more

Invest in your future

The modern world depends on instant, seamless communications systems to meet consumer expectations. Therefore, an ongoing demand exists both in the public and private sectors for professionals with advanced planning, analysis and research abilities.

The Master of Operations Research (MOR) equips students with high level skills in network design simulations, dynamic programming, mathematical modelling and more. This interdisciplinary field adopts techniques from engineering, mathematics, economics, and science, making your qualification a challenging, yet enriching one. Offered jointly by the Faculties of Engineering and Science, you will engage with a broad range of experts, perform rigorous analysis, and solve complex real-world problems.

The core aim of operations research is to optimise solutions, minimise risk and help organisations run more efficiently. This means that your research and methodological competencies will be an asset in our technologically-driven day-to-day environments, where there are increasing employment opportunities for those with skills in operations research.

Programme Structure

Research (120 points)
Full-time or part-time

You must successfully complete a 120 point research thesis to achieve the MOR. Within the course of this programme, you will develop a high level of competency in independent research, which can be an inspirational introduction to further study in our doctoral programme. The MOR is open to students with undergraduate backgrounds in arts, commerce, engineering or science, so you’ll be exposed to a broad range of applicable knowledge while remaining engaged with core techniques and methodology.

Next generation research at the University of Auckland

The Faculty of Engineering is dedicated to providing you with all the facilities, flexibility and support needed for you to develop the skills needed for the workforce. We boast research themes and programmes that provoke interdisciplinary projects, bringing together expertise from our five departments, other faculties, and industry partners and research organisations. Collaborative study is strongly encouraged – postgraduates in particular have the benefit of experiencing cohorts with diverse academic and industry backgrounds.

You will gain access to world-renowned experts who actively demonstrate the positive impacts research have on society. High-performance equipment and labs beyond industry standards are at your fingertips. Our facilities extend beyond study hours – we take pride in our involvement in student events and associations across the University, and are dedicated to providing you with academic, personal and career advice. We encourage you to take advantage of our resources, and use them to expand the possibilities of your research and career path.

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With more and more data being captured, there is growing need for people with the skills to manage large data collections, and make use of them through a range of data analysis techniques. Read more
With more and more data being captured, there is growing need for people with the skills to manage large data collections, and make use of them through a range of data analysis techniques. It has been said that “data is the raw material of the 21st century”.

The Master of Business Data Science (MBusDataSc) is an interdisciplinary programme that encompasses understanding how data can be used in a business context, how large data sets can be managed, and how data can be analysed. The programme will also develop students’ skills in data analysis techniques and computing.

Graduates of the MBusDataSc will have advanced knowledge in areas including: understanding of opportunities for applying data analysis in business, awareness of ethical and privacy issues and mitigation approaches, understanding of technologies for managing large data sets and the ability to select and apply appropriate technologies, and an understanding of different techniques for analysing data and the ability to select and apply appropriate techniques.

The programme can be completed in a 12 month period.

Programme Requirements

-BSNS 401 The Environment of Business and Economics (20 points)
-COSC 430 Advanced Database Topics (20 points)
-INFO 408 Management of Large Scale Data (20 points)
-INFO 411 Machine Learning and Data Mining (20 points)
-INFO 420 Statistical Techniques for Data Science (20 points)
-INFO 424 Adaptive Business Intelligence (20 points)
-MART 448 Advanced Business Analytics (20 points)

Plus one of the following project papers:
-BSNS 501 Applied Project or BSNS 580 Research Project (40 points)

Structure of the Programme

-A candidate may be exempted from some of the required papers on the basis of previous study. Alternative papers will be required at an equivalent level of study.
-A candidate shall, before commencing the investigation to be described in the applied or research project, secure the approval of the Head of the Department concerned for the topic, the supervisor(s) and the proposed course of the investigation.
-A candidate may not present a project report which has previously been accepted for another degree.
-A candidate must pass both the papers and the project components.

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