Qualification

Three Academic Years

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

Start Dates
Course Fees (Year 1. See fees information.)
Domestic $9,900.00 NZD
International $33,500.00 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

Portfolio Requirements

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

Study Options

Study on campus Study online

What is The Bachelor of Software Engineering - Artificial Intelligence?

A career of the future

Master a range of technical subjects such as Computer Vision, Natural Language Processing, Speech Recognition, Machine Learning and Robotics, and in-demand soft skills including ideation, project and time management, and interpersonal communication.

This programme is available both on campus and online.

Why Study AI?

You should study AI (Artificial Intelligence) in 2025 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.

AI at Media Design School
Jind AR - Rawinder Singh

Jind AR was created to assist in applying first-aid with step-by-step guidance from an avatar through the use of AI and speech recognition.

Course Outline

What you'll cover in this course

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.

Component Name Credits Toggle
Maths 1
15
Introduction to Software Engineering
15
Algorithms & Data Structures
15
Introduction to Computer Graphics
15
Micro-services Architecture
15
Probabilities and Statistics
15
Concepts in AI
15
Introduction to Cloud Computing
15
Introduction to DevOps
15

Part-time Study

Our part-time study options are designed with flexibility in mind, allowing you to balance your education with other life commitments. With part-time study at Media Design School, you can tailor your learning experience to fit your unique schedule and needs. We’re here to support you in achieving your academic goals while accommodating your busy lifestyle.

Careers & Industry

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.

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AI Research Scientist

Be at the forefront of pioneering new AI algorithms, machine learning techniques, and models that push the boundaries of what AI can do. This role involves conducting cutting-edge research, publishing papers, and developing AI solutions that could shape the future of industries and society.
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Machine Learning Engineer

Design, build, and deploy machine learning models for practical applications like recommendation systems, predictive analytics, and natural language processing. This role involves working closely with data scientists and software developers to implement AI solutions that can be integrated into products and services.
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AI Data Analyst

Use machine learning models and AI-driven tools to gain deeper insights from data, automate analysis processes, and make predictions. This role focuses on interpreting complex data sets, optimising business decisions, and improving operations using AI techniques.

Course Requirements

Student Success Stories

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