University
University of CanterburyThis course is available
On-Campus
Level of Study
Bachelor's Degree
Duration
3 years
Next start date
Expected Feb 2025
Campus
University of Canterbury
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 fields.
Depending on your chosen major, you will have a range of hands-on learning experiences that may take place from our modern laboratories to our field stations.
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 like climate change prediction models in Antarctica, geospatial mapping for urban planning in rural Aotearoa, and VR simulation training systems for firefighters.
Further study
UC offers postgraduate studies in Data Science:
Bachelor of Science with Honours
Postgraduate Certificate in Science
Postgraduate Diploma in Science
Master of Science
There are also specialist applied studies available:
Postgraduate Diploma in Applied Data Science
Master of Applied Data Science
Master of Spatial Analysis for Public Health
Professional Master of Geospatial Science and Technology
Careers
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, and software developer.
Applicants must have completed New Zealand University Entrance through NCEA; or Cambridge International Examinations (CIE); or International Baccalaureate Diploma (IB) or any other equivalent overseas qualification.
Recommended preparation
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.
Applicants must also satisfy our English language entry 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.
PTE (Pearson Test of English - Academic): PTE with an overall score of 50 and no PTE communicative skills score below 42.
CAE or CPE: Minimum score of 169 with at least 162 in reading, writing, listening, and speaking.
CCEL EAP: Level 2 with a minimum C+ grade.
Language Cert: B2 Communicator (LRWS) overall with High Pass.
Applications after the deadline date (8 December) will be considered if places are available.
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