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巴斯大学 · 工程与设计中的人工智能理学硕士(含实习) 硕士

University of Bath|MSc Artificial Intelligence for Engineering and Design with placement。项目库类目:工业工程 · 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 125 位
学位 硕士 · 学制 2年 · 学费 22075英镑/年 · 入学 9月 · 9 门课程
巴斯大学「工程与设计中的人工智能理学硕士(含实习)」为硕士项目,学制 2年,学费 22075英镑/年,9月 入学。官网给出的语言成绩要求、学历与先修要求见下方对应板块(原文为准)。本站另收录 58 条该校该方向的真实录取案例,可用来判断背景匹配度。下面按「项目参数 → 申请要求 → 官网原文 → 录取案例」排列,先看能横向对比的中文参数,再看官网原文细节。

📋 项目参数

工程与设计中的人工智能理学硕士(含实习)

MSc Artificial Intelligence for Engineering and Design with placement
硕士工科
学制2年
学费22075英镑/年(2 年共约 44,150 英镑)
入学时间9月
语言要求雅思 6.5(W 6 / S 6 / L 6 / R 6) · 托福 90(W 21 / S 21 / L 21 / R 21) · 托福(新版) 4.5(W 4 / S 4 / L 4 / R 4) · PTE 62(W 59 / S 59 / L 59 / R 59)
就业方向科技公司、互联网企业、金融科技、咨询公司、研究机构
岗位分布AI工程师、机器学习工程师、算法工程师、数据科学家、AI产品经理
📚 课程设置(9 门,必修课程 5 / 选修课程 4)
必修课程5 门
  • 工程与设计领域的人工智能和机器学习Artificial Intelligence and Machine Learning for Engineering and Design
  • 数字化转型:项目与变更管理Digital Transformation: Project and Change Management
  • 具有工程与设计方面的专业和研究技能Professional and Research Skills for Engineering and Design
  • 专业实习Professional Placement
  • 研究项目Research Project
选修课程4 门
  • 人工智能与可持续发展AI and Sustainable Development
  • 高级数值方法Advanced Numerical Methods
  • 自动化、制造与设计Automation, Manufacturing and Design
  • 智慧城市与物联网Smart Cities and The Internet of Things

🎯 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。
  • IELTS: 6.5 overall with no less than 6.0 in all components
  • The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
  • TOEFL IBT: 90 overall with a minimum 21 in all 4 components

You will need to get your English language qualification within 24 months prior to starting your course.

If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

You should have a Bachelor degree (Bằng Tốt Nghiệp Đại Học/Bằng Cử Nhân) awarded from 2016 onwards or a Masters degree (Thạc sĩ) from a recognised degree-awarding institution with a final overall result of at least 6.0 on a 10-point scale.

To apply for this course you should have an undergraduate degree in an appropriate subject, such as engineering (e.g. chemical, civil, mechanical, electronic or electrical engineering) or architecture. We expect your degree to have a strong numerate element and also that you are familiar with programming. We will also consider relevant subjects, such as sciences, if there is a strong numerate element and familiarity with engineering and programming.

  • IELTS: 6.5 overall with no less than 6.0 in all components
  • The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
  • TOEFL IBT: 90 overall with a minimum 21 in all 4 components

You will need to get your English language qualification within 24 months prior to starting your course.

If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

You should have a Bachelor degree (awarded after 2007) or Specialist Diploma with a final result of at least 70% or 2.75 on a 4-point scale. Please contact us if your institution uses a different grading scale.

To apply for this course you should have an undergraduate degree in an appropriate subject, such as engineering (e.g. chemical, civil, mechanical, electronic or electrical engineering) or architecture. We expect your degree to have a strong numerate element and also that you are familiar with programming. We will also consider relevant subjects, such as sciences, if there is a strong numerate element and familiarity with engineering and programming.

  • IELTS: 6.5 overall with no less than 6.0 in all components
  • The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
  • TOEFL IBT: 90 overall with a minimum 21 in all 4 components

📖 项目简介

Explore the latest developments in AI and learn how to apply them to solve engineering challenges across industries worldwide. Artificial intelligence is one of the fastest growing technologies, with many sectors having to adapt quickly. As the integration of artificial intelligence into industries becomes more widespread, so do new opportunities. Engineers with expertise in applying AI methods to improve business productivity, efficiency, and sustainability are in high demand. We've designed our new master's to meet this demand and help move engineering practice as we know it into the future. You'll study a range of AI-related topics, combining engineering and design with data science, machine learning, and applied artificial intelligence. We teach the professional and transferrable skills to lead on applying new technologies in this rapidly shifting arena. You'll also explore how AI can help transform society through technological advancements, while considering its wider impact in areas such as ethics. Working with real-life case studies, you'll learn how to use data and advanced algorithms to solve the complex challenges found in industry. This, along with the creative, problem-solving, and technical skills valued by employers will help prepare you to innovate solutions at a professional level.

以上内容整理自公开资料(prospects.ac.uk),仅供参考;巴斯大学该项目的具体要求以项目官网为准。

✨ 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。
  • Wide-ranging topics: explore artificial intelligence, machine learning, deep learning, big data, the Internet of Things, digital twins, automation, process control, cyber security, and new digital ways of working
  • Research skills: work with academics in our research centres to complete an individual research project, where you’ll apply your knowledge to a challenge or development opportunity
  • Sustainability focus: use analytical and problem-solving skills to make creative, ethical, and responsible sustainable decisions with the support of AI
  • Optional placement: get professional experience as part of your MSc course and improve your career prospects

📊 申请案例数据分析(58 条)

下表统计的是巴斯大学全部 58 条录取案例,只反映该校整体录取水位,不代表这一个项目的要求。样本低于 8 条的维度不出图表 —— 拿 3 条案例画一张「趋势图」是假的。
GPA百分制中位 82.13(46 条);4 分制中位 2.91(12 条)
语言雅思中位 6.5(23 条)
本科层次普通本科 71% · 211院校 16% · 985院校 14%
中位数按同制式分别统计(不同 GPA 制式不可合并),样本少于 5 条时只报数量不报中位
📊 GPA 分布(百分制 46 条)
🎓 本科院校层次(58 条)
🗣️ 雅思成绩分布(23 条)
南京审计大学金审学院 · 审计学(管理会计CIMA项目)
普通本科GPA 81/100
南京工程学院 · 土木工程
普通本科GPA 71.78/100雅思 6.5
南京大学 · 图书馆学
985院校GPA 70.2/100雅思 5.5
北方工业大学 · 信息与计算科学
普通本科GPA 72.97/100
桂林电子科技大学 · 通信工程
普通本科GPA 71.1/100
香港中文大学(深圳) · 翻译
普通本科GPA 3.86/4.0雅思 8 · 专四 91

🔗 站内归类方向

该项目已归属站内方向「人工智能」,可到该校该方向的筛选视图看同方向的其他项目与录取案例

❓ 常见问题

以下问答的答案全部取自本页已列出的官网数据,不做推测;官网未公布的项不出现在这里。
巴斯大学工程与设计中的人工智能理学硕士(含实习)主要学什么?
该项目为硕士 · 工业工程,官网介绍:Explore the latest developments in AI and learn how to apply them to solve engineering challenges across industries worldwide.
巴斯大学工程与设计中的人工智能理学硕士(含实习)的学制是多久?
该校官网公布为 2年(全日制)。
巴斯大学工程与设计中的人工智能理学硕士(含实习)的学费是多少?
22075英镑/年(2 年共约 44,150 英镑),为该校官网公布的项目学费。
巴斯大学工程与设计中的人工智能理学硕士(含实习)什么时候入学?
该校官网公布 9月 入学。
巴斯大学工程与设计中的人工智能理学硕士(含实习)的语言成绩要求是什么?
雅思 6.5(W 6 / S 6 / L 6 / R 6) · 托福 90(W 21 / S 21 / L 21 / R 21) · 托福(新版) 4.5(W 4 / S 4 / L 4 / R 4) · PTE 62(W 59 / S 59 / L 59 / R 59)。
巴斯大学工程与设计中的人工智能理学硕士(含实习)的入学要求是什么?
IELTS: 6.5 overall with no less than 6.0 in all components The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element TOEFL IBT: 90 overall with a minimum 21 in all 4 components You will need to get your Eng…
巴斯大学工程与设计中的人工智能理学硕士(含实习)一共开设多少门课程?
课程设置共 9 门。
巴斯大学工程与设计中的人工智能理学硕士(含实习)毕业后主要去向有哪些?
科技公司、互联网企业、金融科技、咨询公司、研究机构
学制 / 学费 / 语言要求 / 申请节奏为按国家(地区)通行区间整理的参考值,各校每年均可能调整,最终以院校官网公布为准;本站不提供中介服务。 排名数据:QS 名次来自 QS 官方榜单整理,U.S. News 名次整理自 Ranking Radar 公开数据集(CC-BY-4.0),原始榜单 © U.S. News & World Report。
工程与设计中的人工智能理学硕士(含实习)
巴斯大学 · 2年 · 22075英镑/年(2 年共约 44,150 英镑)