Data Analytics Subject 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.
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 Health, Engineering, Computing and Science 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 Health, Engineering, Computing and Science for programme advice.
Other qualifications
Prescriptions for:
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BCompSc 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.
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GradCert(DataA) and GradDip(DataA) 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 Health, Engineering, Computing and Science Office.
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PGCert(DataA), PGDip(DataA), BSc(Hons), MSc and MSc(Res)[1] 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.
[1] The PGCert(DataA), PGDip(DataA), MSc and MSc(Res) will not be offered in 2024.
Data Analytics papers
| Code and paper title | Points | |
|---|---|---|
COMPX101
Introduction 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) |
|
CSMAX170
Foundations 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 |
|
CSMAX175
Introduction 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) |
|
DATAX111
Statistics 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) |
|
DATAX121
Introduction 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) & 25X (Hainan University, Haikou China) |
|
ENGEN103
Engineering 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 | |
|---|---|---|
|
COMPX225
Introduction 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) |
|
CSMAX270
Cultural 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) |
|
DATAX201
Practical 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) |
|
DATAX221
Statistical 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) |
|
DATAX222
Principles 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 | |
|---|---|---|
|
COMPX310
Machine 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) |
|
CSMAX300
Visual 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) |
|
DATAX321
Advanced 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) |
|
DATAX322
Probability 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) |
|
DATAX390
Directed Study
A directed study on an approved topic in Data Analytics. |
15 | 25A (Hamilton) & 25B (Hamilton) |
|
DATAX391
Undergraduate Research Project
Students carry out an independent research project on an approved topic under staff supervision. |
30 | 25A (Hamilton) & 25B (Hamilton) & 25X (Hamilton) |
|
DATAX397
Work-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 | |
|---|---|---|
|
COMPX521
Machine Learning Algorithms
This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms. |
15 | 25B (Hamilton) |
|
DATAX520
Dissertation
A directed investigation and report on an approved project or study topic. |
45 | 25X (Hamilton) |
|
DATAX525
Topics 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) |
|
DATAX590
Directed Study
Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff. |
30 | 25B (Hamilton) |
|
DATAX591
Dissertation
A report on the findings of a theoretical or empirical investigation. |
30 | 25X (Hamilton) |
|
DATAX592
Dissertation
A report on the findings of a theoretical or empirical investigation. |
60 | 25X (Hamilton) |
|
DATAX593
Statistics Thesis
An externally examined piece of written work that reports on the findings of supervised research. |
90 | 25X (Hamilton) |
|
DATAX594
Statistics Thesis
An externally examined piece of written work that reports on the findings of supervised research. |
120 | 25X (Hamilton) |
-
COMPX101 Introduction to Programming
This paper introduces computer programming in C# - the exciting challenge of creating software and designing artificial worlds within the computer...
Points 15The objective of this paper is to provide students with the academic foundations for computing and mathematical sciences. The paper will cover the...
Points 15This paper provides an introduction to Cyber Security through the exploration of concepts such as digital information, digital identities, digital...
Points 15An introductory paper in statistics that uses Microsoft Excel. Topics include the collection and presentation of data, hypothesis testing, confidence...
Points 15An introductory paper in statistics that uses R. Topics include the collection and presentation of data, hypothesis testing, confidence intervals...
Points 15This paper introduces computer programming in languages such as the MATLAB and Python languages. It provides the basis for the programming skills...
Points 15 -
COMPX225 Introduction 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...
Points 15The paper provides students with an understanding of scientific and culture-specific perspectives on issues in computing and mathematical sciences...
Points 15This paper gives students practical experience for the entire data science process. It covers the data collection process, data cleaning and...
Points 15This paper introduces students to the R programming language. Analysis of variance, multiple regression, non parametric methods and time series are...
Points 15This paper introduces the theoretical background that underpins modern probability and statistics. Topics include conditional probability, random...
Points 15 -
COMPX310 Machine Learning
This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while...
Points 15This paper focuses on the skills and knowledge for communicating with data. A variety of methods of communicating and presenting data will be covered.
Points 15This paper uses R for data analysis and modelling. The topics covered are general linear models, generalised linear models, and statistical learning...
Points 15This paper introduces students to probability theory and stochastic processes. It covers formally the theoretical foundations of probability, random...
Points 15A directed study on an approved topic in Data Analytics.
Points 15Students carry out an independent research project on an approved topic under staff supervision.
Points 30Students carry out an independent work-related project on an approved topic under staff supervision.
Points 15 -
COMPX521 Machine Learning Algorithms
This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms.
Points 15A directed investigation and report on an approved project or study topic.
Points 45This paper will discuss advanced topics in statistics. The exact topics covered could change subject to the preference and research expertise of the...
Points 30Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.
Points 30A report on the findings of a theoretical or empirical investigation.
Points 30A report on the findings of a theoretical or empirical investigation.
Points 60An externally examined piece of written work that reports on the findings of supervised research.
Points 90An externally examined piece of written work that reports on the findings of supervised research.
Points 120
2025 Catalogue of Papers information current as of 5 Nov 2024 01:00am