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, COMPX223, DATAX221, DATAX222, 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, COMPX223, DATAX221, DATAX222, 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 for the Data Analytics major, including at least 30 points at 200 level or above consisting of at least one DATAX-coded paper and at least one COMPX-coded paper.

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 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:

Data Analytics papers

100 Level 200 Level 300 Level 500 Level
Code and paper title Points
COMPX101 Introduction to Programming right arrow

This paper introduces computer programming in C# - the exciting challenge of creating software and designing artificial worlds within the computer...

15 24A (Hamilton) & 24A (Online) & 24B (Hamilton) & 24B (Secondary School - Unistart)
CSMAX170 Foundations in Computing and Mathematical Sciences right arrow

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 right arrow

This paper provides an introduction to Cyber Security through the exploration of concepts such as digital information, digital identities, digital...

15 24A (Hamilton) & 24A (Tauranga) & 24X (Hainan University, Haikou China)
DATAX111 Statistics for Science right arrow

An introductory paper in statistics that uses Microsoft Excel. Topics include the collection and presentation of data, basic principles of...

15 24B (Hamilton) & 24B (Tauranga)
DATAX121 Introduction to Statistical Methods right arrow

An introduction to statistical data collection and analysis. Topics include general principles for statistical problem solving; some practical...

15 24A (Hamilton) & 24A (Secondary School - Unistart)
ENGEN103 Engineering Computing right arrow

This paper introduces computer programming in languages such as the MATLAB and Python languages. It provides the basis for the programming skills...

15 24A (Hamilton) & 24A (Tauranga) & 24G (Hamilton)
Code and paper title Points
COMPX223 Database Practice and Experience right arrow

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...

15 24A (Hamilton) & 24A (Secondary School - Unistart) & 24A (Tauranga)
CSMAX270 Cultural Perspectives for Computing and Mathematical Sciences right arrow

The paper provides students with an understanding of scientific and culture-specific perspectives on issues in computing and mathematical sciences...

15 24B (Hamilton) & 24B (Tauranga)
DATAX201 Practical Data Science right arrow

This paper gives students practical experience for the entire data science process. It covers the data collection process, data cleaning and...

15 24B (Hamilton) & 24B (Online) & 24B (Tauranga)
DATAX221 Statistical Data Analysis right arrow

This paper introduces students to the R programming language which is used to investigate a collection of real data sets. Analysis of variance...

15 24A (Hamilton)
DATAX222 Principles of Probability and Statistics right arrow

This paper introduces the theoretical background that underpins modern probability and statistics. Topics include discrete probability and...

15 24B (Hamilton)
Code and paper title Points
COMPX310 Machine Learning right arrow

This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while...

15 24B (Hamilton) & 24B (Tauranga)
CSMAX300 Visual Data Communication right arrow

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 24A (Hamilton)
DATAX321 Advanced Data Analysis right arrow

This paper covers the use of statistical packages for data analysis and modelling. The emphasis is on observational rather than experimental data...

15 24B (Hamilton)
DATAX322 Probability and Stochastic Processes right arrow

This paper introduces students to probability theory and stochastic processes. It covers formally the theoretical foundations of probability, random...

15 24A (Hamilton)
DATAX390 Directed Study right arrow

A directed study on an approved topic in Data Analytics.

15 24A (Hamilton) & 24B (Hamilton)
DATAX391 Undergraduate Research Project right arrow

Students carry out an independent research project on an approved topic under staff supervision.

30 24A (Hamilton) & 24B (Hamilton) & 24D (Hamilton) & 24X (Hamilton)
DATAX397 Work-Integrated Learning Directed Study right arrow

Students carry out an independent work-related project on an approved topic under staff supervision.

15 24X (Hamilton)
Code and paper title Points
COMPX521 Machine Learning Algorithms right arrow

This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms.

15 24B (Hamilton)
DATAX520 Dissertation right arrow

A directed investigation and report on an approved project or study topic.

45 24X (Hamilton)
DATAX525 Topics in Statistics right arrow

This paper will discuss advanced topics in statistics. The exact topics covered could change subject to the preference and research expertise of the...

30 24A (Hamilton)
DATAX590 Directed Study right arrow

Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.

30 24B (Hamilton)
DATAX591 Dissertation right arrow

A report on the findings of a theoretical or empirical investigation.

30 24X (Hamilton)
DATAX592 Dissertation right arrow

A report on the findings of a theoretical or empirical investigation.

60 24X (Hamilton)
DATAX593 Statistics Thesis right arrow

An externally examined piece of written work that reports on the findings of supervised research.

90 24X (Hamilton)
DATAX594 Statistics Thesis right arrow

An externally examined piece of written work that reports on the findings of supervised research.

120 24X (Hamilton)
time

2024 Catalogue of Papers information current as of 22 May 2024 01:00am