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LSE-Fudan Double Master's in Financial Statistics and Chinese Economy

LSE-Fudan Double Master's in Financial Statistics and Chinese Economy

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Chinese Languages Statistics Economics

Course type

Taught

Course Summary

The unique two-year double master's degree in financial statistics (LSE) and Chinese economy (Fudan) enables students to study for one year at LSE in London - one of the global financial centres, and one year at Fudan University in Shanghai - one of the most vibrant hubs for economic and financial innovation and development in China and Asia.

The first year, which will be spent at LSE, will equip students with the cutting-edge statistical methods and data analytical skills for finance. It will give students a solid quantitative background for careers in the financial industry. The second year of the programme, at Fudan University, will equip students with the main tools of professional economists, and will apply the quantitative tools learned in the first year to solve practical problems for government, central banking, international organisations or private sector firms. There will be a strong focus on China and the Chinese Economy.

The combined expertise in statistics and economics, the capability of understanding the fundamental principles as well as that of empirical analysis and extracting information from data, and the first hand experiences in both London and Shanghai will make graduates from this programme highly competitive for jobs in Europe, Asia and beyond.

Once you successfully complete your studies at both institutions, you will be conferred Master of Economics in Finance and MSc Statistics (Financial Statistics) by Fudan and LSE respectively.

Teaching methods

LSE is internationally recognised for its teaching and research and therefore employs a rich variety of teaching staff with a range of experience and status. Courses may be taught by individual members of faculty, such as lecturers, senior lecturers, readers, associate professors and professors. Many departments now also employ guest teachers and visiting members of staff, LSE teaching fellows and graduate teaching assistants who are usually doctoral research students and in the majority of cases, teach on undergraduate courses only.

Assessment

All taught courses include formative coursework which is unassessed. It is designed to help prepare you for summative assessment which counts towards the course mark and to the degree award. LSE uses a range of formative assessment, such as essays, problem sets, case studies, reports, quizzes, mock exams and many others. Most courses are summatively assessed by a two-hour exam in the summer term, although some contain an element of course work.

Careers

Students on this programme have excellent career prospects and a global appeal, with combined expertise in economics and financial statistics. Students will be well prepared for working in banks and hedge funds, as well as companies and firms with businesses across Europe and Asia.

Different course options

Study mode

Full time

Duration

9 months

Start date

28-SEP-20

Modules

A broad introduction to statistical time series analysis for postgraduates: what time series analysis can be useful for; autocorrelation; stationarity; causality; basic time series models: AR, MA, ARMA; ARCH and GARCH models for financial time series; trend removal and seasonal adjustment; invertibility; spectral analysis; estimation; forecasting.
Macroeconomics - Core
Econometrics - Core
China's Financial System - Core
Microeconomics - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£29,184

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£29,760

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have Upper second class honours (2:1) degree or equivalent, with a substantial amount of mathematics and a significant amount of statistics. Well-qualified applicants who do not meet this requirement will be considered on merit. Background in economics is preferable but not essential. Those without economics background will be required to take on the relevant foundation course(s) in Year 2 at Fudan.