Qualification

Three Academic Years

Degree, NZQF Level 7 (360 Credits, 1.0 EFTS per year)

Intake Dates
Course Fees (Year 1. See fees information.)
Domestic $9,310.00 NZD
International $30,333.00 NZD
Admission Requirements

Minimum qualification of NCEA University Entrance or equivalent, such as CIE or IB University Entrance, or, level 4 or higher Qualification from a related discipline.

Plus, you will need to have fulfilled the following credit requirements:
28 NCEA Credits* at Level 3, in a range of the following subjects: Mathematics, Physics, Computing and Technology.

*Note: Students completing NCEA Level 3 in 2020 will only require 24 credits in the above subjects. Learn more about NCEA and UE in 2020 here.

Portfolio Requirements

A portfolio is not required if you are applying for Game Programming (Bachelor of Software Engineering).

Study options

Blended
Online
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Overview

A career of the future

Embark on a rewarding career in the future-facing field of creative tech thanks to our Bachelor of Software Engineering in Artificial Intelligence. You’ll become a highly sought-after developer with a deep understanding of algorithms and techniques, plus the ability to master the fundamentals of machine learning. Developed in partnership with IBM, this qualification is the first of its kind in New Zealand. There’s never been a better time to start your studies, so apply today.

This programme is available both on campus and online.

Why Study AI in 2021?

You should study AI (Artificial Intelligence) in 2021 as it is a fast-growing industry with many employment opportunities across a range of industries. You will gain the necessary skills and knowledge required to use machines for automation. As a result, you will be able to develop cutting-edge tools and systems to improve everyday life.

Download course flyer
Artificial Intelligence and Cloud Computing

Course Outline

What you'll cover in this course

Year One - Your first year will cover the foundational skills of software engineering and AI, including an introduction to computer graphics and practical mathematical skills. You’ll develop an understanding of basic knowledge representation, problem solving techniques and architectures used to build intelligent systems.

Year Two - Delve deeper into the world of software engineering with an intro to data science and a focus on the applications of AI. You’ll extend the statistical and mathematical concepts covered in year 1, while discovering machine learning principles and exploring the vital field of human-centred design.

Year Three - Expand your technical knowledge and round out your skill set with a focus on data mining, visualisation and creative enterprise. In your final semester you’ll explore intuitive approaches to AI, with advanced tech-work integrated learning culminating in the production of an industry-standard capstone project.

Entry Requirements

Entry Requirements

To apply for this degree, you'll need a minimum qualification of NCEA University Entrance or equivalent, such as:

An appropriate qualification from an overseas secondary school or tertiary institution, deemed by Media Design School to be sufficient for admission into a bachelors programme.

CIE (University of Cambridge International Examination)

IB (International Baccalaureate)

Plus, you will need to have fulfilled the following credit requirements:

28 NCEA Credits* at Level 3, in a range of the following subjects: Mathematics, Physics, Computing and Technology.

*Note: Students completing NCEA Level 3 in 2020 will only require 24 credits in the above subjects. Learn more about NCEA and UE in 2020 here.

If you are enrolled at a New Zealand secondary school and have not yet completed your NCEA (CIE or equivalent) qualification, you can still apply now for admission. When your NCEA results are available in January, we will check them and contact you.


Special Entry, Discretionary Entry and Cross Credits

If you don't have university entry, you may still be able to apply for this course. More information about Special Entry, Discretionary Entry and Cross Credits here.

International Students: If you are an international student, you'll need to prove you have sufficient English language skills in order to complete this course. We'll be looking for Academic IELTS overall score of 6.0 (minimum) with no band less than 5.5, or equivalent qualification if English is not your first language.

Please note, quotas may apply to some programmes. Where demand exceeds the number of available places, applicants who meet entry requirements will be admitted on a first-come-first-served basis.

Language Requirements

Language Requirements

If English is not your first language, you may be required to provide satisfactory evidence of your proficiency in English in the form of a recent IELTS (International English Language Testing System) score , TOEFL (Test of English as a Foreign Language) score or a Pearson’s Test of English (PTE) from an accredited organisation.

BYOD Requirements

BYOD Requirements

Before you begin your study with us, you will need to have a suitable device that has the functionality to run the programmes required for your course.

Follow this link to find course-specific requirements and recommendations, along with links to more information about hardware specifications. We have prepared these recommendations to help our students equip for flexible, blended learning.

Careers & Industry

Careers & Industry

A degree in Software Engineering - Artificial Intelligence could take you down the following career paths: 

  • Software Engineer
  • Software Developer
  • Machine Learning Engineer
  • AI Developer
  • Business Intelligence Developer
  • R&D Engineer
  • Data Scientist

Software Engineers remain on New Zealand's long-term skill shortage list and the ever-growing demand for graduates means salaries remain highly competitive. We've worked closely with our industry panel to design a course that responds to industry needs, arming you with the most in-demand technical skills and the core soft skills needed to maximise your employability.

Throughout your studies you'll master a range of technical subject areas, such as computer vision, natural language processing, speech recognition, and machine learning & robotics, as well as the in-demand soft skills of ideation, design thinking, project and time management and interpersonal communication. Your first year will cover the foundational skills of software engineering and AI, including an introduction to computer graphics and practical mathematical skills.