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伦敦大学玛丽皇后学院-金融与机器学习硕士Finance and Machine Learning MSc(硕士)

伦敦大学玛丽皇后学院-金融与机器学习硕士Finance and Machine Learning MSc(硕士)

上课方式:直播,面授
班级类型:小班
上课时段:白天班,晚班
价       格:¥询价

伦敦大学玛丽皇后学院-金融与机器学习硕士Finance and Machine Learning MSc(硕士)课程详情

  • 专业概况
  • 所属院系
  • 中国学生入学要求
  • 课程信息

专业概况

在这里学什么?

Finance and Machine Learning MSc

  • Provides a strong background in finance
  • Grounding in machine learning methods and how they are used in finance through cutting-edge curriculum
  • The knowledge to implement machine learning tools using Python
  • A learning environment that encourages the development of systematic and independent thought and learning
  • A methodical knowledge of quantitative methods so that you will have the skills necessary to undertake quantitative analyses of relevant problems

School of Economics and Finance

  • Around 1,000 master’s students from all over the world
  • Teaching by research-active academics as well as visiting city professionals
  • Wide range of elective modules
  • Wide range of optional short modules (on programming languages, trading platforms such as Bloomberg, etc.)

Campus and Facilities

  • Close to London’s financial districts (City of London and Canary Wharf)
  • On-site accommodation
  • State of the art building
  • State-of-the art computer labs with mathematical and trading software (eg Reuters and Bloomberg)

The programme will be delivered at the university's Mile End campus.

Structure

The programme consists of four compulsory modules in semester A as well as two compulsory modules and two electives in semester B.

During the summer period, supervised by an academic member of staff, students will have to complete a dissertation project. Students can choose between the 45 credit dissertation or 15 credit research project. The latter will allow them to choose 30 credits of electives in the 3rd semester.

Students will also be offered a two-week pre-sessional course whose aim is to introduce students without a strong quantitative background to the necessary mathematics and statistical concepts.

Assessment

75% Modules 25% Dissertation

During the summer period, supervised by an academic member of staff, students will have to complete a dissertation project.

Students can choose between the 45 credit dissertation or 15 credit research project. It is assessed, on the basis of the individual literature review main report, initially by the supervisor, then a second examiner and then by the External Examiner and the full Examination Board.

Teaching

Taught by research-active academics as well as visiting professionals The learning outcomes for the programme are delivered by a range of modules across the programme. Teaching and learning is mainly via expert lectures and seminars (some are to be delivered weekly others on alternative weeks). Teaching and learning strategies vary from module to module.

Career paths

Wide range of economics careers, especially as research economist in the public sector, international institutions, economic consulting.

Further studies in MRes or PhD (best students often continue onto MRes within our school).

Our dedicated careers team offers students one-on-one appointments, support with job applications, practice interviews, information about internship opportunities and employability events.

Funding

There are a number of ways you can fund your postgraduate degree.

  • Scholarships and bursaries
  • Postgraduate loans (UK students)
  • Country-specific scholarships for international students

所属院系

进入哪个院系学习? School of Economics and Finance

中国学生入学要求

为来自中国的学生设计 Students need to have a Bachelors Degree. IELTS Academic: 6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking.

课程信息

学制:全日制(12 个月)

学费:£24,950.00 (¥ 225,296) /年

开学时间:2022九月

申请截止日期:

留学地点:Mile EndMile End Road,Tower Hamlets,London,E1 4NS, England

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