Entry requirements

2:1 or above at undergraduate level in any subject, provided the degree contains satisfactory study of Mathematics and Statistics. Subjects likely to contain sufficient quantitative elements include Mathematics, Sciences, Engineering, Computer Science, Economics and Finance.

Months of entry


Course content

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 which 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


  • 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


  • 75% Modules
  • 25% Dissertation


  • Taught by research-active academics as well as visiting city professionals
  • Teaching of each module typically consists of a two-hour lecture and one-hour seminar (for solving homework) each week
  • Lectures and seminars may be scheduled during the day or in the evening for both full-time and part-time pathways

Career Paths

  • Wide range of careers in financial sector, especially in risk management and regulation in commercial banks, investment banks, and supervisory financial institutions (e.g. central banks)
  • Further studies in MRes and PhD
  • Our dedicated careers team offers students one-on-one appointments, support with job applications, practice interviews, information about internship opportunities, and employability events.

Information for international students

Find out more www.qmul.ac.uk/international-students/

Fees and funding

UK students
International students

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

Our Advice and Counselling service offers specialist support on financial issues, which you can access as soon as you apply for a place at Queen Mary. Before you apply, you can access our funding guides and advice on managing your money:

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification


AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations75

Course contact details

School of Economics and Finance
+44 (0)20 7882 8848