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++.
Career opportunities
- Biometrics
- Business Analyst
- Data Analyst
- Government Statistician
- Industrial Statistician
- Insurance and Finance
- Market Researcher
- Medical Statistician
- Operational Researcher
Qualifications
Study Data Analytics in any of these qualifications
Papers
100 level
| Introduction to Computer Science | COMPX101 | 15.0 Points |
| Statistics for Science | STATS111 | 15.0 Points |
| Introduction to Statistical Methods | STATS121 | 15.0 Points |
200 level
| Database Practice and Experience | COMPX223 | 15.0 Points |
| Cultural Perspectives for Computing and Mathematical Sciences | CSMAX270 | 15.0 Points |
| Statistical Data Analysis | STATS221 | 15.0 Points |
| Bayesian Statistics | STATS226 | 15.0 Points |
| Management Statistics | STATS260 | 15.0 Points |
300 level
| Practical Data Mining | COMP321 | 20.0 Points |
| Finding Patterns in Data | COMPX305 | 15.0 Points |
| Engineering Statistics | ENGG381 | 20.0 Points |
| Advanced Data Analysis | STAT321 | 20.0 Points |
| Design and Analysis of Experiments and Surveys | STAT323 | 20.0 Points |
| Computational Bayesian Statistics | STAT326 | 20.0 Points |
| Statistics for Quality Improvement | STAT352 | 20.0 Points |
| Directed Study | STAT389 | 10.0 Points |
| Directed Study | STAT390 | 20.0 Points |
500 level
| Quantitative Methods for Security and Crime Science | STAT501 | 15.0 Points |
| Advanced Quantitative Methods for Security and Crime Science | STAT502 | 15.0 Points |
| Computational Statistics | STAT521 | 30.0 Points |
| Statistical Inference | STAT522 | 30.0 Points |
| Statistical Consulting | STAT524 | 30.0 Points |
| Topics in Statistics | STAT525 | 30.0 Points |
| Multivariate Analysis | STAT531 | 30.0 Points |
| Study Design and Statistical Inference | STAT533 | 30.0 Points |
| Bayesian Inference | STAT536 | 30.0 Points |
Scholarships and prizes
CMS International Exchange Scholarship
For students who have completed at least one year of study in the Faculty of Computing & Mathematical Sciences (FCMS), applied for a University of Waikato exchange programme, and who are currently enrolled full-time in FCMS.
Closing Date: 2018-03-31 23:59:00FCMS Summer Project Scholarships
This is by nomination only. Nominees must be high achieving undergraduate students currently enrolled part- or full-time in the Faculty of Computing & Mathematical Sciences. It supports a ten-week period of full-time project work during the summer break. The Scholarships will have a value of $5,000. Interested students should contact FCMS for further information.
Closing Date: 2015-10-16 23:59:00Contacts
Faculty of Computing & Mathematical Sciences
Phone: 0800 924 528 ext: 4322 or +64 7 838 4322
Email: cms@waikato.ac.nz
Website: cms.waikato.ac.nz
Facebook: facebook.com/WaikatoFCMS