九州影院

What will my study involve?

Entry requirements

Potential students can come from a variety of undergraduate backgrounds. You will require a B Grade Point Average in your 300-level bachelor's degree courses, or have evidence of achievement at postgraduate level.

If English is your additional language, you are also required to meet UC's English language requirements.

For the full entry requirements, see the Regulations for the Postgraduate Diploma in Applied Data Science or use the .

You can apply online at .

See Admission and enrolment for all information on enrolling at UC.

Subjects and courses

You will be required to enrol in all these foundational courses unless there is evidence of prior learning in the fundamentals of data science (exemptions must be approved by the Programme Director).

All students take the following courses (unless the Programme Director approves a substitution).

• DIGI405 Texts, Discourses and Data: the Humanities and Data Science
• STAT462 Data Mining
• DATA420 Scalable Data Science

You should complete the foundation course DATA401, or have a background in statistics, before enrolling in STAT462 and STAT448.

You should also complete the foundation course COSC480, or have a background in Python computer programming, before enrolling in DATA420 and DIGI405.

Choose at least 15 points from relevant 400 or 600-level courses in the following subjects:

• Biological Sciences
• Computer Science
• Digital Humanities
• Economics
• Environmental Science
• Finance
• Geography
• Geology
• Mathematics
• Physics
• Psychology
• Statistics

With approval from the Programme Director and the relevant Head of Department, you may substitute these courses with courses from other relevant subjects.

Some examples of elective courses students have enrolled in recently include:

• COSC421 Advanced Topics in Security
• COSC424 Secure Software
• COSC428 Computer Vision
• DATA415 Computational Social Choice
• DATA416 Contemporary Issues in Data Science
• DATA417 The Trustworthy Data Scientist
• DATA419 Online Communities and Social Networks
• DATA422 Data Wrangling
• DATA423 Data Science in Industry
• DATA424 Information is Beautiful
• DATA425 Foundations of Deep Learning
• DATA430 Medical Data Informatics
• DATA472 Special Topic - Data Engineering
• DATA474 Special Topic - Mathematical Data Science
• GISC404 Spatial Analysis
• GISC412 Spatial Data Science
• GISC422 Foundations of Geographic Information Systems
• INFO634 Data Analytics and Business Intelligence
• STAT447 Official Statistics

Further study

Provided you have not graduated with the Diploma and you fulfil the entry requirements, you can transfer to the Master of Applied Data Science.

Career opportunities

According to industry experts, data scientists know what the technology can offer, what analytics are possible, and can communicate on all those aspects to the wider business. This applies no matter the field or sector, as data and analytics have become so important and integral to organisational decision making. Graduates will be ready to work in a range of industries including: government, corporates, the IT sector, market research and finance, agriculture, and transport.

Aotearoa New 九州影院and other countries are currently experiencing a skills shortage in this area, and the need for data savvy professionals with applied experience is growing.

An Applied Data Science graduate's skills will include:

• advanced knowledge in data science
• the ability to use data to inform workplace solutions
• planning and implementing data-informed projects
• working in multidisciplinary teams
• have an understanding of what programming can offer.

• Read what other UC postgraduate students have gone on to achieve in their studies and careers in our student stories.
• Te R艒p奴 Rapuara | UC Careers can help you to achieve the career you want, connect with employers, or find a job.
• For research into career destinations by qualification, visit .
• Find out more about what can you do with a degree from UC.
• Come along to an upcoming information event for prospective postgraduate students.