Data is used by organisations of all sizes to make better decisions. In this degree, you will learn how to analyse and interpret data to inform decision-making and forecast trends.
With big data comes big responsibility, and you will learn the importance of data security, ethics, and strategy. You will learn skills in programming, mathematics, and statistics from experts in biology, computing, geography, linguistics, and many other fields. As a result, you will be able to contribute your diverse skillset across many cross-disciplinary fields.
What will my study involve?
Depending on your chosen major, you will have a range of hands-on learning experiences that may take place from our laboratories to our field stations. These can include high-tech computing systems, modern equipment, and the latest technology.
Project work in your final year will give you real world experience in applying data science to create workplace solutions.
We have research centres that specialise in data science, with projects ranging from climate change prediction models in Antarctica, geospatial mapping for urban planning in rural Aotearoa, VR simulation training systems for firefighters, and much more.
Christchurch, New Zealand
IELTS: 6 TOEFL: 80
The Bachelor of Data Science requires a minimum total of 360 points:
195 points of compulsory Data Science core courses
165 points of courses towards your major.
At least 225 points must be from courses above 100-level, with at least 105 points at 300-level.
The degree takes 3 years of full-time study, or can be studied part-time for up to 10 years.
The Bachelor of Data Science includes core introductory courses in programming, mathematics, statistics, and computer sciences, as well as hands-on lab work and group projects.
You will also complete courses towards a major subject, completing with a final capstone project in the third year with supervision from industry.
See ‘How do I plan my degree?’ above for an example degree structure diagram.
The Bachelor of Data Science is open to anyone with entry to the University.
A background in secondary school subjects such as maths, statistics, computing, and IT will be especially useful. UC offers introductory courses if you have little or no background in these areas.
|APPROVED ENGLISH TESTS||MINIMUM REQUIREMENTS|
|IELTS||Academic with an average score of 6.0, with a minimum of 5.5 in reading, writing, listening and speaking|
|TOEFL iBT||Total minimum score of 80, with at least 19 in reading, writing and listening. Please note UC only accepts TOEFL iBT scores from a single test date, not MyBest scores.|
|TOEFL PBT||With a minimum score of 550 and TWE with a minimum score of 4.5|
|CCEL EAP||Level 2 with a minimum C+ grade|
|CAE or CPE||minimum score of 169 with at least 162 in reading, writing, listening and speaking|
|Pearson Test of English (Academic)||PTE with an overall score of 46 and no PTE communicative skills score below 36|
|NZCEL||Level 4 - Academic endorsement|
|FluentIQ||Overall mark of 8/10 with nothing less than a 7 being scored in a single category.|
|LanguageCert||B2 Communicator (LRWS) overall with High Pass|
|NZAPA||English New Zealand Accredited Pathway Assessment Level 2 (with no skill lower than Level 1)|
Banded Fee - total tuition fee dependent on course selection - $ 35,725
Project work in your final year involves applying data science to create solutions.
Gain skills in project implementation, research, critical analysis, problem- solving, and communication to discuss and explain data findings.
Graduates will be ready to work in roles such as data scientist, analyst, software architect, IT consultant, business analyst, statistician, software developer, and more.