金融、科技和政策？！

专业： Finance, Technology an Policy

链接：

https://www.e.ac.uk/stuying/postgrauate/egrees/inex.php?r=site/view&eition=2018&i=966

课程设置：

You will be require enroll on eight compulsory courses worth 90 creits an option courses worth 30 creits. You will also write a issertation worth 60 creits.

Learning will be primarily through formal lectures, seminars, workshops, flippe classes, practical computer labs sessions, stuent presentations, guest speakers, master classes, research assignments, an the research issertation. Delivery of the taught element of the programme is primarily via a combination of lectures, seminars an workshops.

Assessment methos inclue examinations, reports, essays an team presentations.

Learning outcomes

Demonstrate an avance knowlege of key theoretical finance an economic concepts unerpinning financial markets.

Critically compare, contrast an evaluate the ifferent machine learning techniques in terms of their applicability to solving problems in finance. Demonstrate by using appropriate software to apply techniques to a given set of ata.

Have an in-epth unerstaning of the relationships existing among the key global financial systems; for example, how bon yiels ictate investment in equity an its erivatives.

Conuct valuation of financial instruments an projects within relevant regulatory contexts.

Trae financial instruments on exchanges/traing platforms by using state of the art software packages an harnessing the power of relevant real-time financial ata.

Demonstrate an appreciation of the role playe by policies in shaping financial services elivery an financial markets.

Critically evaluate markets by being able to competently present arguments on the criticisms of the current set up an offer the basis for the evelopment of alternative technology-base markets an financial services proucts.

Demonstrate an appreciation of the social imensions of technology use in financial markets.

入学要求：

A UK first-class or 2:1 honours egree in one of the subjects below, or an equivalent overseas qualification.

An unergrauate honours egree in finance, economics, engineering or informatics is normally require.

You will nee to have taken an passe at least one course with significant statistical analysis an/or programming as part of your unergrauate egree or be able to emonstrate that you have relevant work experience in the use of statistical an/or programming software packages.

Caniates with a first class or 2:1 honours egree in other isciplines will be consiere on an iniviual basis if some level of finance/economics/informatics content forme part of the egree an you can emonstrate a high level of quantitative ability through your egree results.

Caniates with a first class or 2:1 honours egree in an unrelate subject area but have relevant work experience will be consiere on an iniviual basis.

Caniates with a first class or 2:1 honours egree in an unrelate subject area but who have relevant professional qualifications will be given ue consieration on an iniviual basis.

If you are a mature caniate with significant finance an tech inustry experience or with relevant professional qualifications, you will be given ue consieration on an iniviual basis.

IELTS: total 7.0 (at least 6.0 in each moule)