Data Analytics
Enhance productivity and help make more informed decisions, while using your Computer Science and Statistical analysis skills, through 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++.
Key information
| Study Location: | Hamilton |
|---|---|
| Area of Study: |
Study Data Analytics in these qualifications
Study Data Analytics as a specialisation of
Career opportunities
- Biometrics
- Business Analyst
- Data Analyst
- Government Statistician
- Industrial Statistician
- Insurance and Finance
- Market Researcher
- Medical Statistician
- Operational Researcher
Papers
Available Data Analytics papers
100 Level
| Code | Paper Title | Points | Occurrence / Location |
|---|---|---|---|
| COMPX101 | Introduction to Programming | 15.0 | 23A (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... | |||
| CSMAX170 | Foundations in Computing and Mathematical Sciences | 15.0 | 23A (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... | |||
| DATAX111 | Statistics for Science | 15.0 | 23B (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. | |||
| DATAX121 | Introduction to Statistical Methods | 15.0 | 23A (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. | |||
| ENGEN103 | Engineering Computing | 15.0 | 23A (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 |
|---|---|---|---|
| COMPX223 | Database Practice and Experience | 15.0 | 23A (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... | |||
| CSMAX270 | Cultural Perspectives for Computing and Mathematical Sciences | 15.0 | 23B (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. | |||
| DATAX201 | Practical Data Science | 15.0 | 23B (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. | |||
| DATAX221 | Statistical Data Analysis | 15.0 | 23A (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. | |||
| DATAX222 | Principles of Probability and Statistics | 15.0 | 23B (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 |
|---|---|---|---|
| COMPX310 | Machine Learning | 15.0 | 23B (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. | |||
| DATAX321 | Advanced Data Analysis | 15.0 | 23B (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. | |||
| DATAX322 | Probability and Stochastic Processes | 15.0 | 23A (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. | |||
| DATAX323 | Design and Analysis of Experiments and Surveys | 15.0 | 23A (Hamilton) |
| This paper outlines the principles and practicalities of designing and analysing experiments and surveys, with emphasis on the design. | |||
| DATAX390 | Directed Study | 15.0 | 23A (Hamilton) & 23B (Hamilton) |
| No description available. | |||
| DATAX391 | Undergraduate Research Project | 30.0 | 23A (Hamilton), 23B (Hamilton), 23D (Hamilton) & 23X (Hamilton) |
| Students carry out an independent research project on an approved topic under staff supervision. | |||
| DATAX397 | Work-Integrated Learning Directed Study | 15.0 | 23X (Hamilton) |
| Students carry out an independent work-related project on an approved topic under staff supervision. | |||
500 Level
| Code | Paper Title | Points | Occurrence / Location |
|---|---|---|---|
| COMPX521 | Machine Learning Algorithms | 15.0 | 23B (Hamilton) |
| This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms. | |||
| DATAX520 | Dissertation | 45.0 | 23X (Hamilton) |
| A directed investigation and report on an approved project or study topic. | |||
| DATAX525 | Topics in Statistics | 30.0 | 23A (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. | |||
| DATAX590 | Directed Study | 30.0 | 23B (Hamilton) |
| Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff. | |||
| DATAX591 | Dissertation | 30.0 | 23X (Hamilton) |
| A report on the findings of a theoretical or empirical investigation. | |||
| DATAX592 | Dissertation | 60.0 | 23X (Hamilton) |
| A report on the findings of a theoretical or empirical investigation. | |||
| DATAX593 | Statistics Thesis | 90.0 | 23X (Hamilton) |
| An externally examined piece of written work that reports on the findings of supervised research. | |||
| DATAX594 | Statistics Thesis | 120.0 | 23X (Hamilton) |
| An externally examined piece of written work that reports on the findings of supervised research. | |||
Scholarships and Prizes
Selected scholarships for Data Analytics students.
New to Waikato? The International Excellence Scholarship is worth up to $10,000.
Looking for more scholarships?
Contacts
School of Computing and Mathematical Sciences
Phone:
Email: [email protected]
Website: cms.waikato.ac.nz
Facebook: https://www.facebook.com/WUcms