There is an enormous and increasing amount of data that is collected. Examples include not just traditional data such as sales transactions, but location data (GPS), interactions between people on social network, measurements of sleep patterns, medication being taken, state of health, and much much more.
A key challenge is then to make use of this wealth of data. How can we manage this data, and analyse it to exploit useful information that can guide decision making?
This emerging area goes under the name “Data Science”. There is growing demand for people, “Data Scientists”, who have the skills to manage and analyse enormous amounts of data using a range of techniques such as data mining, statistical techniques, and machine learning.
Data Scientist has been called the “Sexiest job of the 21st century”, and the unique combination of technical skills (stats, data management) and business understanding has been said to make Data Scientists “highly sought after and highly paid”.
The MBusDataSc primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD).
The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics.
Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data.
The programme of study shall consist of seven 20 point taught papers together with a 40 point applied project or research project. Papers are either taught in semester one, semester two or are full-year papers.
You must complete:
Plus one of the following project papers
BSNS 580 - Research Project (for students who may wish to progress to PhD study)
The University of Otago coursework masters programmes provide you with an opportunity to specialise in advanced study with a focus on either applied practical or academic research.
Graduates of the MBusDataSc will gain skills in three areas: those relating to the business and organisational context, those relating to computing technologies for managing data, and those relating to data analysis techniques.
As a graduate of the MBusDataSc you should be able to:
Join this unique qualification to become a leading, sought-after analyst, able to understand and communicate big data in social policy-related contexts.
Find out more about the Master of Analytics parent structure.
The Master of Analytics with a major in public policy is for public servants who want to be able to better understand, interpret and analyse large data sets.
The degree equips you with the technical ability and critical thinking needed to transform complex data into information that can be used as evidence for making policy.
Massey University is the only New Zealand university that offers the Master of Analytics (Public Policy).
The MAnalyt teaches fundamental data analysis tools, including data mining, statistics and econometrics in the core courses. You will then learn how these tools are applied in the public sector.
The Master of Analytics (Public Policy) teaches a critical appreciation of the complexity of data analytics including an examination of cross-cultural data analysis; methodology; ethics; systems mapping; attribution and data management.
It also introduces case studies examining the roles and possibilities of geospatial data and the use of outputs from the integrated data infrastructure (IDI). The IDI is the New Zealand cross-agency data set used by government agencies and policy makers.
At Massey University we ensure your learning is firmly based in a real-world context. To help you identify the most appropriate technique and data to address a problem, you need to understand the real challenges and context that policy makers face.
The Master of Analytics will help you understand all these things, as well as give you training in communicating your findings in a compelling way.
You will work in conjunction with an external agency on a real-world problem using the skills and knowledge you have already gained.
Block courses are held in Wellington.
The qualification can be completed in 12 months of full-time study, or over a longer period of part-time study. The programme starts in semester one of each calendar year.
You need to complete three core statistics and analytics courses and three public policy specialisation courses. The programme ends with the applied or capstone project.
The skills you will learn in the Master of Analytics meet the growing demand for graduates capable of processing, analysing and presenting data in ways that encourage informed and effective decision making. You will learn how to extract useful information from big data sets, while maintaining data security and privacy.
In 2011, Statistics New Zealand launched the IDI. It combines information from a range of organisations to provide the insights government needs to improve social and economic outcomes for New Zealanders. There are very few people skilled at using the IDI.
Postgraduate study is hard work but hugely rewarding and empowering. The Master of Analytics (Public Policy) will push you to produce your best creative, strategic and theoretical ideas. The workload replicates the high-pressure environment of senior workplace roles. Our experts are there to guide but if you have come from undergraduate study, you will find that postgraduate study demands more in-depth and independent study.
Postgraduate study is not just more of the same undergraduate study. It takes you to a new level in knowledge and expertise especially in planning and undertaking research.