应用数学硕士
Master of Science in Applied Mathematics
  • 学历文凭

    Masters Degree (Taught)

  • 专业院系

    数学科学

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Students wishing to enrol should normally possess a minimum of the equivalent of an honours degree (level 8 on the NFQ) at Grade 2.2 or above in a highly quantitative discipline such as computing, engineering, mathematics, physics, statistics and other scientific and numerate backgrounds.

IELTS - English Proficiency of 6 overall (or equivalent) with not less than 5.5 in writing.
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IDP—雅思考试联合主办方

雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:60
  • 托福笔试总分:160
  • 其他语言考试:NA
CRICOS代码:
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课程简介

应用数学硕士课程是数学科学学院提供的两个研究生课程之一。它提供了应用数学领域的广泛主题,并且适合来自各种背景的申请人。它旨在不仅满足那些希望发展与解决各种问题有关的高级数学知识和实践技能的人的需求。
The MSc in Applied Mathematics is a taught postgraduate course delivered by the School of Mathematics & Statistics. It offers a broad range of topics in applied mathematics and applied statistics and is suitable for applicants from a wide variety of backgrounds. It is designed to cater for those who wish to develop an advanced level of mathematical and statistical knowledge and practical skills relevant to problem solving in diverse, real-world contexts, and modelling is at the heart of the programme.<br><br>The course is undertaken over 3 semesters (approximately 18 months), starting in September. The programme is structured to suit those that are combining study with a career or family life and is a blend of evening online (synchronous and asynchronous) delivery and evening in-person on campus block delivery. The course encourages students to engage in autonomous, self-directed learning whilst providing a supportive environment where lecturers and year tutors facilitate and mentor learning.<br><br>The course will emphasise the use of mathematics and statistics to solve problems and will build students' knowledge and their ability to analyse problems and apply advanced mathematical and statistical techniques in a rigorous manner. Successful applicants will require a primary degree at second-class or higher classification and will be drawn from computing, engineering, mathematics, physics, statistics and other scientific and numerate backgrounds.
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801

数据源:泰晤士高等教育世界大学排名

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