Data Analytics Papers at Tauranga (2023)
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 are encouraged to contact the Division of Health, Engineering, Computing and Science for programme advice.
For a full list of offerings in this subject, including those available in Hamilton and online, see the Catalogue of Papers. Not all qualifications and subjects can be taken in full in Tauranga. See what can be studied in Tauranga.
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Code Paper Title Points Occurrence / Location 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. 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.
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.
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.
2023 Catalogue of Papers information current as of : 21 March 2023 10:02am