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Students
Tuition Fee
GBP 12,250
Per year
Start Date
Medium of studying
On campus
Duration
48 months
Program Facts
Program Details
Degree
PhD
Major
Actuarial Science | Mathematical (Theoretical) Statistics | Statistics
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 12,250
Intakes
Program start dateApplication deadline
2024-10-01-
About Program

Program Overview


The Faculty of Actuarial Science and Insurance is one of the leading academic actuarial departments in the world, with highly respected degree courses and research. It comprises 29 staff, including eight qualified actuaries.

Benefits

The Faculty makes use of its position close to the heart of the City of London to enhance its research, teaching and external profile.

As such, the Faculty is proud of its PhD in Actuarial Science programme. On this programme you will have the full support of the faculty as well as access to the research and insights from one of the world’s leading actuarial departments.

Research Excellence Framework (REF) 2021

The Research Excellence Framework (REF) 2021 rated Bayes 5th in the UK for Business and Management research. In total, 92% of our research was rated as world-leading (4*) or internationally excellent (3*) – up from 84% in REF 2014.

Research Areas

The Faculty's research considers a range of theoretical and applied issues in:

  • General and life insurance
  • Health and social care
  • Machine learning and analytics
  • Mortality and longevity modelling
  • Pensions and investment
  • Risk management
  • Statistics
  • Stochastic modelling of risk in insurance and finance

Please visit the webpages of for individual faculty research interests or more information on the potential research topics they are willing to supervise.

You do not need to find a potential supervisor before you apply, but it is useful to indicate in your application the member of academic staff with research interests similar to your own. The final decision on supervisors is made by the PhD Director.

Program Outline

The Actuarial Science PhD is usually a four year programme.  You are registered on the MPhil degree for the first two years during which you will follow a programme of taught courses and prepare your first research paper.

Year 1 - Theory and Methods

In the first year you will attend a number of taught courses aiming to provide training in your research field and exposure to wider research areas. You will be able to take PhD-level courses in Finance, as well as, if appropriate, drawn from Bayes MSc programmes. These courses are academically rigorous and you will need to be examined in them.

In parallel, you will commence your academic research, under the supervision of Bayes academics. At the end of the first academic year, you will submit a research dissertation, demonstrating a clear formulation of a suitable research topic and substantial progress towards your first academic paper.

Throughout your time as a Bayes MPhil/ PhD student, you will be attending research seminars held by the Faculty of Actuarial Science and Insurance.

In order to progress to the following year students will need to pass a minimum of three or a maximum of five modules and complete a dissertation in the third term.

Year 2 - Research and Teaching Skills

Your research training continues in the second year with workshops and seminars focused on further developing your research skills further and courses introducing you to the practice of learning, teaching and assessment.

Alongside this, you will continue your academic research in your chosen topics. The year culminates with the defence of your first research paper before a transfer panel committee, towards the end of term 2.

After the successful defence of your transfer panel paper you will move onto the final two years of the PhD programme.

Year 3 - Year 4

You complete your remaining research papers in years three and four and defend your work at the viva voce examination soon after completion of your thesis. The focus of training in the final two years shifts towards preparing you for an academic career.

You will be supported by Bayes academics to prepare for the viva voce and the academic job market, with the aim of you successfully defending your thesis and taking up an academic position at a leading academic institution or a research-oriented job at a financial institution.

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Bayes Business School: A Summary


Overview:

Bayes Business School, formerly known as Cass Business School, is a renowned business school located in London. It is part of City, University of London and boasts a rich history of over 50 years in business education. The school is known for its commitment to providing world-leading education and fostering a culture of "always learning."


Services Offered:

Bayes Business School offers a comprehensive range of services to its students, including:

    Academic Programs:

    Undergraduate, Master's, PhD, MBA, Executive Education, and Degree Apprenticeships.

    Student Hub:

    A dedicated online platform for students to access resources and information.

    Alumni Network:

    A strong network of graduates providing support and opportunities.

    Staff Hub:

    A platform for staff to access resources and information.

Student Life and Campus Experience:


Key Reasons to Study There:

    Triple-Crown Accreditation:

    Bayes Business School holds the prestigious triple-crown accreditation from AMBA, EQUIS, and AACSB, signifying its high standards of quality.

    Top Rankings:

    Consistently ranked among the top business schools in the UK and Europe, including 2nd in London and 5th in the UK according to the Financial Times European Business Schools 2023 ranking.

    Global Women's Leadership Programme:

    A dedicated program designed to inspire, equip, and connect women leaders.

    Focus on Innovation:

    Encourages students to think critically and creatively about the challenges of the future.

    Strong Industry Connections:

    Provides opportunities for students to connect with leading businesses and professionals.

Academic Programs:

Bayes Business School offers a wide range of academic programs across various disciplines, including:

    Undergraduate:

    Bachelor's degrees in Business and Management, Finance, Accounting, and Marketing.

    Master's:

    A variety of specialized Master's programs in areas such as Finance, Management, Marketing, and Data Analytics.

    PhD:

    Doctoral programs in various business disciplines.

    MBA:

    Full-time and part-time MBA programs designed to develop leadership skills and business acumen.

    Executive Education:

    Customized programs for professionals seeking to enhance their skills and knowledge.

    Degree Apprenticeships:

    A combination of work experience and academic study leading to a degree.

Other:

    Research:

    Bayes Business School is known for its strong research output, with academics contributing to the advancement of knowledge in various business fields.

    Location:

    Situated in the heart of London, providing students with access to a vibrant business environment and numerous networking opportunities.

    Global Reach:

    The school has a strong international presence, with students and faculty from around the world.

Total programs
94
Admission Requirements

To be eligible to apply for next academic year, you must hold a first degree (a first or equivalent) in a subject related to your proposed research topic.

The following qualifications are highly desirable and would enhance your likelihood of being accepted:

  • A masters degree from a leading institution with a distinction or equivalent
  • A GRE or GMAT score is required for applicants Management and highly recommended for applicants in Finance and Actuarial Science.

Our students have a variety of academic backgrounds ranging from Accounting, Actuarial Science and Economics to Engineering, Finance, Management and Mathematics.

We are looking for mature, highly-motivated individuals with excellent analytical, problem-solving and verbal skills.

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