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Data Analytics

Enhance productivity and help make more informed decisions, while using your Computer Science and Statistical analysis skills, through Data Analytics.

Data Analytics

Data Analytics is the combination of Computer Science and Statistics. With the massive amount of data that is collected today, we need to have the computing skills to manipulate and extract relevant data prior to performing statistical analyses, which enables us to make informed decisions in a world where variability is everywhere.

Data Analytics provides you with the skills and techniques for manipulating and administering large databases to extract useful information for statistical analyses.

As a Data Analytics graduate from the University of Waikato you will have the ability to use statistical techniques in a number of industries, from healthcare to travel to energy management.  Your skills will help companies to make better decisions as well as to verify and disprove existing theories.

Computing facilities at Waikato

The computing facilities at the University of Waikato are among the best in New Zealand.  Our senior computing laboratory has a network of PCs running Linux and Windows.  All students will have 24 hour access to labs equipped with the latest versions of specialist statistical software packages, including Minitab, R, Mathematica, Matlab and C++.

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Key information

Study Location:Hamilton
Area of Study:

Career opportunities

  • Biometrics
  • Business Analyst
  • Data Analyst
  • Government Statistician
  • Industrial Statistician
  • Insurance and Finance
  • Market Researcher
  • Medical Statistician
  • Operational Researcher

100 Level

Code Paper Title Points Occurrence / Location
COMPX101Introduction to Programming15.023A (Hamilton), 23A (Online), 23B (Hamilton), 23B (Secondary School - Unistart) & 23X (Zhejiang University City College, Hangzhou China)
This paper introduces computer programming in C# - the exciting challenge of creating software and designing artificial worlds within the computer. It also covers concepts such as the internals of the home computer, the history and future of computers, cyber security, computer gaming, databases, mobile computing and current researc...
CSMAX170Foundations in Computing and Mathematical Sciences15.023A (Hamilton) & 23A (Tauranga)
The objective of this paper is to provide students with the academic foundations for computing and mathematical sciences. The paper will cover the following areas: -Effective academic reasoning and communication -Information literacy and research skills -Academic integrity -Techniques and tools in the computing and mathematical sci...
DATAX111Statistics for Science15.023B (Hamilton) & 23B (Tauranga)
An introductory paper in statistics that uses Microsoft Excel. Topics include the collection and presentation of data, basic principles of experimental design, hypothesis testing, regression and the analysis of categorical data.
DATAX121Introduction to Statistical Methods15.023A (Hamilton) & 23A (Secondary School - Unistart)
An introduction to statistical data collection and analysis. Topics include general principles for statistical problem solving; some practical examples of statistical inference; and the study of relationships between variables using regression analysis.
ENGEN103Engineering Computing15.023A (Hamilton), 23A (Tauranga) & 23G (Hamilton)
This paper introduces computer programming in languages such as the MATLAB language. It provides the basis for the programming skills required in more advanced papers.

200 Level

Code Paper Title Points Occurrence / Location
COMPX223Database Practice and Experience15.023A (Hamilton), 23A (Secondary School - Unistart) & 23A (Tauranga)
This paper approaches the subject of databases from a practical perspective - how do I create a database and how do I retrieve/update data. Both aspects are heavily addressed in this paper. Database creation and querying, using SQL, will be introduced in lectures as you will master practical skills associated with a commercial Data...
CSMAX270Cultural Perspectives for Computing and Mathematical Sciences15.023B (Hamilton) & 23B (Tauranga)
The paper provides students with an understanding of scientific and culture-specific perspectives on issues in computing and mathematical sciences. Students will learn how these perspectives can be applied in diverse cultural, international, ethical, and professional contexts.
DATAX201Practical Data Science15.023B (Hamilton), 23B (Online) & 23B (Tauranga)
This paper gives students practical experience for the entire data science process. It covers the data collection process, data cleaning and manipulation, and data visualisation and presentation.
DATAX221Statistical Data Analysis15.023A (Hamilton)
This paper introduces students to the R programming language which is used to investigate a collection of real data sets. Analysis of variance, multiple regression, non parametric methods and time series are covered.
DATAX222Principles of Probability and Statistics15.023B (Hamilton)
This paper introduces the theoretical background that underpins modern probability and statistics. Topics include discrete probability and mathematical statistics from a frequentist and Bayesian viewpoint.

300 Level

Code Paper Title Points Occurrence / Location
COMPX310Machine Learning15.023B (Hamilton) & 23B (Tauranga)
This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while processing large datasets. This paper will use standard Python-based ML toolkits to teach the fundamentals of ML.
DATAX321Advanced Data Analysis15.023B (Hamilton)
This paper covers the use of statistical packages for data analysis and modelling. The emphasis is on observational rather than experimental data. The topics covered are regression modelling and its generalisations, and multivariate analysis.
DATAX322Probability and Stochastic Processes15.023A (Hamilton)
This paper introduces students to probability theory and stochastic processes. It covers formally the theoretical foundations of probability, random variables, statistics, stochastic processes and Markov chains.
DATAX323Design and Analysis of Experiments and Surveys15.023A (Hamilton)
This paper outlines the principles and practicalities of designing and analysing experiments and surveys, with emphasis on the design.
DATAX390Directed Study15.023A (Hamilton) & 23B (Hamilton)
No description available.
DATAX391Undergraduate Research Project30.023A (Hamilton), 23B (Hamilton), 23D (Hamilton) & 23X (Hamilton)
Students carry out an independent research project on an approved topic under staff supervision.
DATAX397Work-Integrated Learning Directed Study15.023X (Hamilton)
Students carry out an independent work-related project on an approved topic under staff supervision.

500 Level

Code Paper Title Points Occurrence / Location
COMPX521Machine Learning Algorithms15.023B (Hamilton)
This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms.
DATAX520Dissertation45.023X (Hamilton)
A directed investigation and report on an approved project or study topic.
DATAX525Topics in Statistics30.023A (Hamilton)
This paper will discuss advanced topics in statistics. The exact topics covered could change subject to the preference and research expertise of the academic staff. Students preferences may also be taken into account.
DATAX590Directed Study30.023B (Hamilton)
Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.
DATAX591Dissertation30.023X (Hamilton)
A report on the findings of a theoretical or empirical investigation.
DATAX592Dissertation60.023X (Hamilton)
A report on the findings of a theoretical or empirical investigation.
DATAX593Statistics Thesis90.023X (Hamilton)
An externally examined piece of written work that reports on the findings of supervised research.
DATAX594Statistics Thesis120.023X (Hamilton)
An externally examined piece of written work that reports on the findings of supervised research.

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Contacts

School of Computing and Mathematical Sciences
Phone: 0800 924 528 or +64 7 838 4625
Email: [email protected]
Website: cms.waikato.ac.nz
Facebook: https://www.facebook.com/WUcms