Adelaide University｜Master of Artificial Intelligence and Machine Learning。项目库类目：计算机 · 工科。
下面的学制、学费、入学时间、语言要求与课程设置均来自该校该项目本身，不与其他学校同一名称的项目共用。
QS 2027 · 第 79 位
学位 硕士 · 学制 2年 · 学费 57 · 入学 2/7月 · 16 门课程
📖 项目简介
Embark on a transformative journey with the Master of Artificial Intelligence and Machine Learning at Adelaide University. This innovative degree puts you at the forefront of the AI revolution. You’ll be equipped with the skills to innovate and lead in this rapidly evolving field.
You'll gain hands-on experience with state-of-the-art tools and technologies and tackle real-world challenges through industry-partnered projects. Build your technical skills and critical thinking needed to navigate the ethical complexities of AI.
Graduate ready to influence the future of technology in diverse sectors, from healthcare to finance. Drive innovations that will redefine human-machine interaction and solve some of society's most complex challenges.
以上为阿德莱德大学该项目官网项目页原文（英文），本站未做改写或补写。
📋 项目参数
人工智能与机器学习硕士
Master of Artificial Intelligence and Machine Learning
硕士工科
学制2年
学费57
入学时间2/7月
语言要求雅思 6.5（W 6 / S 6 / L 6 / R 6） · 托福 79（W 21 / S 18 / L 12 / R 13） · PTE 64（W 60 / S 60 / L 60 / R 60）
就业方向软件企业、电商平台、游戏公司、互联网科技公司、电信运营商
岗位分布算法工程师、软件工程师、前端开发、产品经理、系统架构师
📚 课程设置（16 门，核心课程 11 / 选修课程 3 / 实践整合课程 2）
核心课程11 门
ARTI5001生成式人工智能Generative Artificial Intelligence
ARTI5002应用人工智能与机器学习Applied Artificial Intelligence and Machine Learning
ARTI5006人工智能与机器学习中的伦理、隐私与安全Ethics, Privacy and Security in Artificial Intelligence and Machine Learning
ARTI6000人工智能与机器学习高级专题Advanced Topics in Artificial Intelligence and Machine Learning
ARTI6003机器学习算法Machine Learning Algorithms
COMP5004人工智能与机器学习编程Programming for Artificial Intelligence and Machine Learning
COMP5064人工智能与机器学习编程 2Programming for Artificial Intelligence and Machine Learning 2
COMP6004深度学习应用Deep Learning Applications
COMP6026应用人工智能与机器学习 2Applied Artificial Intelligence and Machine Learning 2
PROJ5001IT 专业人员项目管理Project Management for IT Professionals
STAT5020数据科学与人工智能统计基础Statistical Foundations for Data Science and Artificial Intelligence
选修课程3 门
COMP6001计算机视觉与多模态机器学习Computer Vision and Multimodal Machine Learning
COMP6011数据驱动决策Data-Driven Decision-Making
MATHX105数据处理与预测Data Taming and Prediction
实践整合课程2 门
COMP6024ICT 硕士顶点项目 1ICT Master Capstone Project 1
COMP6000ICT 硕士顶点项目 2ICT Master Capstone Project 2
✨ 项目特色
该项目官网「Unique Program Features」原文，说的是这个项目自身的特点（学制长短、资助、实践安排、认证等），不是学校层面的通用介绍。
Study a comprehensive curriculum that integrates core AI and machine learning concepts with practical applications.
Gain hands-on experience with the latest tools and technologies in AI, including deep learning and generative AI.
Navigate the complex moral landscape of modern technology by emphasising ethics, privacy and security in AI development.
Apply knowledge to real-world challenges through an industry capstone project, enhancing practical skills and professional readiness.
Prepare for high-demand roles as an AI engineer, data scientist or machine learning specialist.
Build your professional network through extensive industry connections and mentorship opportunities.
With the Master of Artificial Intelligence and Machine Learning at Adelaide University, you’ll gain advanced skills in artificial intelligence and machine learning. You’ll be prepared to step into leadership roles in this exciting and rapidly evolving field.
In your first year, you'll build a strong foundation of knowledge in AI and machine learning fundamentals. Learn programming specifically tailored for AI applications and explore statistical foundations crucial for data science. Explore the ethical considerations of AI development while honing your project management and leadership skills.
As you progress, you'll study more advanced topics including:
Advanced machine learning algorithms
Deep learning applications
Applied AI techniques.
🎯 入学要求
官网给出的录取条件原文，含学校统一要求与该项目的附加要求；语言成绩的具体分数线请到项目官网核对。
To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.
A completed bachelor (AQF level 7) or bachelor honours (AQF level 8) degree or equivalent in computer science, computer systems engineering, or software engineering from a recognised higher education institution; OR
A completed nested or related graduate certificate (AQF level 8) or higher in computer science from a recognised higher education institution.
This degree requires a Grade Point Average (GPA) equivalent to an Adelaide University 4.5 on a 7-point scale for entry.
Recognition of prior learning
Adelaide University is committed to recognising the contribution of students’ prior learning towards their program requirements. Credit may be granted for formal, informal, and non-formal learning. Visit the Credit for previous study page for more information.
Answer a few simple questions with our online Credit Assessor to see what credit you could get.
Apply through one of the University’s official Education Agents, or via our International Application System opens in a new tab .
Find an Education Agent
Depending on your country of citizenship, you may be required to apply through one of our Education Agents.
该项目为硕士 · 计算机，官网介绍：Embark on a transformative journey with the Master of Artificial Intelligence and Machine Learning at Adelaide University. This innovative degree puts you at the forefront of the AI revolution.
阿德莱德大学人工智能与机器学习硕士的学制是多久？
该校官网公布为 2年（全日制）。
阿德莱德大学人工智能与机器学习硕士的学费是多少？
57，为该校官网公布的项目学费。
阿德莱德大学人工智能与机器学习硕士什么时候入学？
该校官网公布 2/7月 入学。
阿德莱德大学人工智能与机器学习硕士的语言成绩要求是什么？
雅思 6.5（W 6 / S 6 / L 6 / R 6） · 托福 79（W 21 / S 18 / L 12 / R 13） · PTE 64（W 60 / S 60 / L 60 / R 60）。
阿德莱德大学人工智能与机器学习硕士的入学要求是什么？
To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission.