Data scientist
Also known as
Work environment
- Usually work regular business hours
- Usually work in offices and may travel nationally
- Need to be accurate, logical and identify and solve problems
Salary information
Typical tasks
- Collect and organise data
- Assess data quality
- Find trends, patterns and insights from data
- Use computer programming code to analyse data
- Build statistical models
- Prepare data reports
- Create graphs, charts and infographics
- Present information to others
- Teach others how to process data
Outlook
Data science has a positive outlook as organisations increasingly rely on large and complex datasets to solve problems and improve decision-making. In New Zealand, growth in areas such as health, finance, technology and public services is contributing to greater use of advanced analytics. Globally, artificial intelligence, machine learning and automation are expanding the ways data can be used, making data science an evolving and influential field.
What employers and industry want in graduates
- Strong analytical and critical-thinking skills
- Confidence with maths, statistics and data interpretation
- Problem-solving using evidence and data
- Programming and technical data skills
- Ability to explain complex ideas clearly
- Interest in emerging technologies and innovation
AUT programmes
- Data Science Major - Bachelor of Computer and Information Sciences
- Software Development Major - Bachelor of Computer and Information Sciences
- Analytics Major - Bachelor of Science
The above is a suggestion only and a starting point. You may need to meet other criteria or take additional steps to work in this career.
Further study options
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This data is sourced from the Tertiary Education Commission through the Tahatū Career Navigator website (www.tahtu.govt.nz) and used under the CC BY 4.0 licence. Some of the information has been modified by AUT. TEC has not approved, endorsed or tested these modifications. TEC will not be held accountable for any errors within this data.
