Adelaide University｜Master of Data Science。项目库类目：数据科学 · 理科。
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 · 10 门课程
📖 项目简介
Our Master of Data Science will equip you with high-level skills in the data science pipeline – from collection right through to analysis and evaluation. You’ll also learn the skills needed for strategic leadership roles in data science.
Choose to specialise in artificial intelligence and develop in-depth knowledge of statistical, computational and machine learning techniques. A hands-on industry project in your final year allows you to apply your skills in a work environment. Collaborating with industry professionals, you’ll develop deep knowledge in real-world data science practices.
You’ll emerge a sought-after data expert, ready to improve business models in a variety of sectors. Graduate ready to explore data trends and join the groundbreaking realm of big data.
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
数据科学硕士
Master of Data Science
硕士理科
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）
就业方向制造业、保险公司、电商平台、政府机构、互联网科技公司
岗位分布商业智能分析师、量化分析师、机器学习工程师、数据工程师、算法工程师
📚 课程设置（10 门）
课程10 门
分布式数据库和数据挖掘Distributed Databases & Data Mining
算法和数据结构分析Algorithm & Data Structure Analysis
数据科学的编程和计算思维Programming and Computational Thinking for Data Science
大数据分析和项目Big Data Analysis and Project
大数据挖掘Mining Big Data
统计机器学习导论Introduction to Statistical Machine Learning
数据科学的数学基础Mathematical Foundations of Data Science
专业编程Specialised Programming
人工智能Artificial Intelligence
系统编程Systems Programming
✨ 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。
Develop advanced knowledge of the data science pipeline, from data collection through to evaluation.
Discover how artificial intelligence influences data processes.
Learn to interpret complex data and spot trends.
Be guided by academics who are experts in data science.
Prepare to be a leader in the data science field.
Undertake an industry project to build professional skills and networks.
The Master of Data Science delivers core courses in foundational data science techniques and courses in areas of interest and passion including machine learning, AI and leadership.
Second year builds upon the fundamental skills in data and statistics gained in first year and further develops your analytical skills and machine learning knowledge.
In your final year, you’ll design a brief and execute a project for an industry client. You’ll utilise your technical expertise and hone your professional skills while forming essential connections that will set you up for your future.
🎯 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 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 from a recognised higher education institution; OR
A completed nested or related graduate certificate (AQF level 8) or higher or equivalent 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 · 数据科学，官网介绍：Our Master of Data Science will equip you with high-level skills in the data science pipeline – from collection right through to analysis and evaluation.
阿德莱德大学数据科学硕士的学制是多久？
该校官网公布为 2年（全日制）。
阿德莱德大学数据科学硕士的学费是多少？
57，为该校官网公布的项目学费。
阿德莱德大学数据科学硕士什么时候入学？
该校官网公布 2/7月 入学。
阿德莱德大学数据科学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）。
阿德莱德大学数据科学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 essential criteria for admission.