Finance and Econometrics MSc Queen Mary University of London

The MSc in Finance and Econometrics at Queen Mary University of London is a specialist programme aimed at providing you with rigorous training and a strong analytical background in finance, financial economics and econometrics. The programme is ideal for those who aim to pursue careers as financial economists, quantitative analysts and financial econometricians in the private sector, in the government or in international financial institutions. This MSc degree course will develop your financial expertise to the highest level.

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This MSc degree course at Queen Mary University of London will develop your financial expertise to the highest level.

Unique features of the MSc in Finance and Econometrics are:

  • It covers all the analytical tools and advanced materials in quantitative asset pricing, econometrics, financial derivatives, and financial econometrics.
  • Training in relevant mathematical and statistical methods and how to conduct, assess, and supervise both theoretical and applied research in the field.
  • Possibility to continue to MRes study upon successful completion of the MSc, with the option to progress to doctoral study in the School of Economics and Finance.

Wide range of careers in finance, especially as researcher, financial economist, or quantitative analyst in investment banks, hedge funds, public sector, or international financial institutions.

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.

Aims

Sc Finance and Econometrics offers:

  • Invaluable contributions from respected City practitioners and industry experts who also teach students, bringing practical insights in to the classroom
  • A fully integrated careers programme and extensive industry links that aim to maximise your employment prospects.
  • An unparalleled set of optional short courses designed to equip you with further practical training and key technical skills
  • High rate of employment of our students within six months of graduation.
  • State-of-the-art facilities such as a virtual trading floor which provides exclusive access to the latest technology and financial software used in the banking and finance industry
QMUL offers a range of scholarships and bursaries. Please visit the area Postgraduate - Funding & Support of our website for up-to-date information
Cost of the master: Not declared
Scholarships available
QMUL Careers Office provides careers information, guidance and support for all students and graduates.

  • Book and/or database of graduates
  • Multimedia resources: links/e-books
  • Start-up support and mentoring
  • International opportunities
  • Companies presentations
  • Careerday
  • Support in CV writing
  • Orientation seminars
  • Job hunting tecniques
  • Interview preparation
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Queen Mary University of London

        Finance and Econometrics MSc

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                  Provenance Students Worldwide:
                  Detail of origin:
                  Europe
                  30%
                  10%
                  25%
                  25%
                  10%
                  United Kingdom
                  15%
                  60%
                  5%
                  %
                  20%
                  Gender:
                  45%
                  55%
                  Job Experience:
                  YES60%
                  NO40%
                  Age of participants:
                  • Under 25

                    60%
                  • 26 - 30

                    25%
                  • 31 - 35

                    10%
                  • Over 35

                    5%
                  Total:
                  1370
                  Foreigners:
                  30%
                  Profession Teaching Staff:
                  5%
                  University professors
                  85%
                  Researchers/lecturers/visiting professors
                  10%
                  Other
                  * The data could be related to the School and not to the Master