Program Overview

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.

 

 

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  Location

ChristchurchNew Zealand

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  Course Duration

36 Months

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  Tuition Fee

NZ$ 35,725

 Score

IELTS: 6 TOEFL: 80

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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.
 

Major subjects
 

  • Bioinformatics
  • Business Analytics
  • Computational Linguistics
  • Data Science
  • Population Health Data Science
  • Spatial Data Science
     

Compulsory courses
 

100-level
 

  • DATA101 Introduction to Data Science
  • COSC121 Introduction to Computer Programming
  • COSC122 Introduction to Computer Science
  • MATH102 Mathematics 1A
  • SCIE101 Science, Society and Me

    200-level
     
  • DATA201 Data Wrangling
  • DATA203 Data Science Multivariable Methods
  • COSC262 Algorithms
  • PHIL240 Bioethics: Life, Death and Medicine
  • STAT201 Applied Statistics OR STAT202 Regression Modelling

    300-level
     
  • DATA301 Big Data Computing and Systems
  • DATA303 Computational Data Methods
  • STAT315 Multivariate Statistical Methods OR STAT318 Data Mining

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.

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