Data AnalyticsSubject regulations

Data Analytics is the science of collecting and interpreting data subject to uncertainty. We live in a world where variability is everywhere. To make informed decisions we must understand the nature of variability, and make use of meaningful information. Without data we have to resort to hunches or guesses, neither of which can be relied on. Data Analytics tells us how to deal with variability, and how to collect and use data so that we can make good decisions.

Data Analytics is available as a specified programme for the Bachelor of Computer Science (BCompSc) - see the Prescriptions for the BCompSc.

Data Analytics is available as a first major for the Bachelor of Climate Change (BCC), Bachelor of Computing and Mathematical Sciences with Honours (BCMS(Hons)) and the Bachelor of Science (BSc). Data Analytics may also be taken as a second major or minor, subject to approval of the Division in which the student is enrolled.

To complete Data Analytics as a single major for the BCC, BCMS(Hons) or the BSc, students must gain 135 points from papers listed for Data Analytics, including 105 points above 100 level, and 60 points above 200 level. Students must complete COMPX101 or ENGEN103, DATAX111 or DATAX121, DATAX221, DATAX222, one of COMPX225 or DATAX201 and DATAX321. Students in the BCMS(Hons) will also need to take at least 60 points in the subject of Data Analytics at 500 level, including DATAX520.

To complete Data Analytics as part of a double major for the BCC, BCMS(Hons), BSc or other undergraduate degree, students must gain 120 points from papers listed for Data Analytics, including 90 points above 100 level, and 45 points above 200 level. Students must complete COMPX101 or ENGEN103, DATAX111 or DATAX121, DATAX221, DATAX222, one of COMPX225 or DATAX201 and DATAX321. Students in the BCMS(Hons) will also need to take at least 60 points in the subject of their first major at 500 level, including DATAX520 if Data Analytics is the first major.

To complete a minor in Data Analytics, students must complete 60 points from the papers listed from the subject of Data Analytics. This must consist of at least one DATAX-coded paper and at least one COMPX-coded, and at least 30 points at 200 level or above.

Note:

Students who commenced a major in Statistics in 2017 or prior, or who commenced a subject in Statistics within the PGCert(Stats), PGDip(Stats), BSc(Hons), MSc, MSc(Res) in 2023 or prior, are encouraged to contact the Division of STEM for programme advice.

There will be no new enrolments in the following programmes: BCMS(Hons) in Data Analytics and the BCompSc with a specified programme in Data Analytics. The Bachelor of Computer Science without a specified programme is available for new enrolments, more information can be found on the Computer Science subject. Students enrolled in these degrees previously should consult the Division of STEM for programme advice.

Other qualifications

Prescriptions for:

To complete Data Analytics as a specified programme for the BCompSc, students must take the following papers:
Year 1: COMPX101, COMPX102, CSMAX170, MATHS135, DATAX111 or DATAX121, ENGEN101 or MATHS165 or PHILO102, DIGIB101 or MGSYS101, and ENGEN103.
Year 2: COMPX201 or COMPX241, COMPX202 or COMPX242, COMPX203, COMPX204, COMPX222, COMPX223, CSMAX270 and DATAX221.
Year 3: COMPX301, COMPX324, COMPX361 or COMPX307, either (15 points from any 300 level COMPX and one of COMPX374, COMPX397 or HECSS363) or COMPX398, DATAX321, COMPX310 and 15 points from any 300 level DATAX paper.
A Graduate Certificate and Graduate Diploma are available to graduates who have not included Data Analytics at an advanced level in their first degree.
For further details, contact the Division of STEM Office.
The paper DATAX520 is normally available only for the BCMS(Hons) degree.
To complete a PGCert(DataA), students must complete 60 points at 500 level consisting of 60 points from papers listed for Analytics.
To complete a PGDip(DataA), students must complete 120 points at 500 level including at least 90 points from papers listed for Analytics.
Enrolment in papers towards the BSc(Hons) is only by invitation of the Head of School. To complete a BSc(Hons) in Data Analytics, students must complete 120 points at 500 level, including at least 60 points from the papers listed for Data Analytics, of which at least 30 points must be in research (normally DATAX591).
To complete an MSc in Data Analytics, students admitted under section 2(a) of the MSc regulations must complete 180 points at 500 level including DATAX592 and at least 60 points from papers listed for Statistics.
To complete an MSc (Research) in Data Analytics, students admitted under section 2(a) of the MSc (Research) regulations must complete 180 points at 500 level consisting of DATAX594 and 60 points from papers listed for Data Analytics.
Candidates for these graduate qualifications should select their papers in consultation with the Graduate Advisor in Data Analytics of the Department of Mathematics.
NOTE:
[1] The PGCert(DataA), PGDip(DataA), MSc and MSc(Res) will not be offered in 2025.

Data Analytics papers

Code and paper title	Points	Occurrence/Location The study locations.
COMPX101Introduction to Programming This paper introduces computer programming in C# - the exciting challenge of creating software and designing artificial worlds within the computer...	15	25A (Hamilton) & 25A (Online) & 25B (Hamilton) & 25B (Secondary School - Unistart) & 25X (Hainan University, Haikou China) & 25X (Hangzhou City University, Hangzhou China)
CSMAX170Foundations in Computing and Mathematical Sciences The objective of this paper is to provide students with the academic foundations for computing and mathematical sciences. The paper will cover the...	15	No occurrences
CSMAX175Introduction to Cyber Security This paper provides an introduction to Cyber Security through the exploration of concepts such as digital information, digital identities, digital...	15	25A (Hamilton) & 25A (Tauranga) & 25X (Hainan University, Haikou China)
DATAX111Statistics for Science An introductory paper in statistics that uses Microsoft Excel. Topics include the collection and presentation of data, hypothesis testing, confidence...	15	25B (Hamilton) & 25B (Tauranga)
DATAX121Introduction to Statistical Methods An introductory paper in statistics that uses R. Topics include the collection and presentation of data, hypothesis testing, confidence intervals...	15	25A (Hamilton) & 25A (Secondary School - Unistart) & 25G (Online) & 25X (Hainan University, Haikou China)
ENGEN103Engineering Computing This paper introduces computer programming in languages such as the MATLAB and Python languages. It provides the basis for the programming skills...	15	25A (Hamilton) & 25A (Tauranga) & 25G (Hamilton) & 25X (Hainan University, Haikou China)

Code and paper title	Points	Occurrence/Location The study locations.
COMPX225Introduction to Databases and Web Development This paper provides a broad overview of the principles and technologies used in creating Web Applications, with practical experience of client-side...	15	25B (Hamilton) & 25B (Tauranga) & 25X (Hainan University, Haikou China)
CSMAX270Cultural Perspectives for Computing and Mathematical Sciences The paper provides students with an understanding of scientific and culture-specific perspectives on issues in computing and mathematical sciences...	15	25B (Hamilton) & 25B (Tauranga)
DATAX201Practical Data Science This paper gives students practical experience for the entire data science process. It covers the data collection process, data cleaning and...	15	25B (Hamilton) & 25B (Online) & 25B (Tauranga)
DATAX221Statistical Data Analysis This paper introduces students to the R programming language. Analysis of variance, multiple regression, non parametric methods and time series are...	15	25A (Hamilton)
DATAX222Principles of Probability and Statistics This paper introduces the theoretical background that underpins modern probability and statistics. Topics include conditional probability, random...	15	25B (Hamilton)

Code and paper title	Points	Occurrence/Location The study locations.
COMPX310Machine Learning This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while...	15	25B (Hamilton) & 25X (Hainan University, Haikou China)
CSMAX300Visual Data Communication This paper focuses on the skills and knowledge for communicating with data. A variety of methods of communicating and presenting data will be covered.	15	25A (Hamilton)
DATAX321Advanced Data Analysis This paper uses R for data analysis and modelling. The topics covered are general linear models, generalised linear models, and statistical learning...	15	25B (Hamilton)
DATAX322Probability and Stochastic Processes This paper introduces students to probability theory and stochastic processes. It covers formally the theoretical foundations of probability, random...	15	25A (Hamilton)
DATAX390Directed Study A directed study on an approved topic in Data Analytics.	15	25A (Hamilton) & 25B (Hamilton)
DATAX391Undergraduate Research Project Students carry out an independent research project on an approved topic under staff supervision.	30	25A (Hamilton) & 25B (Hamilton) & 25X (Hamilton)
DATAX397Work-Integrated Learning Directed Study Students carry out an independent work-related project on an approved topic under staff supervision.	15	25A (Hamilton) & 25B (Hamilton) & 25C (Hamilton)

Code and paper title	Points	Occurrence/Location The study locations.
COMPX521Interpretable Machine Learning This paper exposes students to algorithms for learning interpretable machine learning models such as decision trees and rule sets and includes...	15	25B (Hamilton)
DATAX520Dissertation A directed investigation and report on an approved project or study topic.	45	25X (Hamilton)
DATAX525Topics in Statistics This paper will discuss advanced topics in statistics. The exact topics covered could change subject to the preference and research expertise of the...	30	25A (Hamilton)
DATAX590Directed Study Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.	30	25B (Hamilton)
DATAX591Dissertation A report on the findings of a theoretical or empirical investigation.	30	25X (Hamilton)
DATAX592Dissertation A report on the findings of a theoretical or empirical investigation.	60	25X (Hamilton)
DATAX593Statistics Thesis An externally examined piece of written work that reports on the findings of supervised research.	90	25X (Hamilton)
DATAX594Statistics Thesis An externally examined piece of written work that reports on the findings of supervised research.	120	25X (Hamilton)

2025 Catalogue of Papers information current as of 8 May 2025 01:00am

Data AnalyticsSubject regulations

Other qualifications

BCompSc

GradCert(DataA) and GradDip(DataA)

PGCert(DataA), PGDip(DataA), BSc(Hons), MSc and MSc(Res)[1]

Data Analytics papers