Bachelor of Software Engineering - Artificial Intelligence (AI)
Computer Science
A course by
Media Design School
Study the Bachelor of Software Engineering (Artificial Intelligence) at Media Design School to master algorithms, machine learning fundamentals, and emerging AI technologies, preparing you for high-demand developer roles.
NZ$40,884
inc GST
Enquire about international pricing
Blended study
This is a mix of online learning & face-to-face sessions
Media Design School, Auckland
It will take a total of 3 years
NZ$40,884
inc GST
Enquire about international pricing
Core skills this course teaches
Master AI and Software Engineering Fundamentals
Develop foundational and advanced skills in software engineering and artificial intelligence, including algorithms, data structures, and problem-solving techniques.
Develop and Deploy AI Solutions
Gain the capability to design, build, and implement machine learning models and AI-driven applications using emerging technologies.
Apply Computer Vision and Natural Language Processing
Acquire expertise in fields such as computer vision, speech recognition, and natural language processing for real-world problem solving.
About This Course
The Bachelor of Software Engineering - Artificial Intelligence (AI) at Media Design School is a three-year, NZQF Level 7 degree focused on developing the technical and soft skills necessary for a career in AI and software development. Students gain deep expertise in machine learning, computer vision, natural language processing, data mining, human-centred design, and essential software engineering principles. The programme combines foundational computing and mathematics with advanced AI techniques and applications, preparing graduates to create cutting-edge tools and intelligent systems both online and on campus.
Course Content
- Maths 1
- Introduction to Software Engineering
- Algorithms & Data Structures
- Introduction to Computer Graphics
- Micro-services Architecture
- Probabilities and Statistics
- Concepts in AI
- Introduction to Cloud Computing
- Introduction to DevOps
- Creative Enterprise
- Introduction to Data Science
- Networking & Database Systems
- Project Based Learning Studio: Technology
- Human Centred Design
- Applications of Artificial Intelligence
- Classification and Regression
- Cloud Application Development
- Network Design
- Advanced Tech - Work Integrated Learning
- Machine Learning Principles
- Natural Language Processing & Speech Recognition
- Deep Learning
- Tools for DevOps
- Data Mining & Visualisation
- Secure by Design
- Scaling & Monitoring
Entry Requirements
For applicants under 20: NCEA University Entrance or equivalent (CIE or IB University Entrance, or Level 4 or higher qualification from related discipline) plus 28 Level 3 NCEA credits across Mathematics, Statistics, Calculus, Physics, Computing, or Technology.
Applicants 20 years or older qualify for special entry (UE and credit count not required).
Portfolio not required.
Build towards these roles
AI Research ScientistMachine Learning EngineerAI Data AnalystSoftware DeveloperAutomation Developer
Build skills in these industries
Software EngineeringArtificial IntelligenceTechnologyData Science
