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Data science today is becoming increasingly important within the actuarial field, and Heriot-Watt has developed this unique new programme to meet this growing actuarial demand.
Actuarial data science combines advanced statistical modelling and analysis with modern computational techniques in order to analyse potentially large datasets arising in insurance and finance. These analyses have the ability to improve forecasts and enhance decision making in an uncertain environment where rapid advancements in technology and data availability are transforming fields of actuarial work. Additionally, they are building synergies with new sectors such as medical and healthcare. This is an area of science and technology that is attracting significant interest and that will continue to grow for the foreseeable future, as more and more industries adopt data-driven and data-centric approaches.
This programme will provide students with intensive and high-quality education in a postgraduate context in the main areas of data science related to actuarial applications, including machine-learning techniques, supervised and unsupervised learning, clustering methods, feature extraction, generalised linear and Bayesian models, ensemble methods, and practical experience of applying these to actuarial data modelling problems.
Students graduating from the MSc will have excellent employment prospects that are not restricted to any one narrow sector of financial services. By their choice of IFoA subjects, they may target the life, pensions, asset management, investment and risk management sectors. They will be in demand in quantitative risk management roles in both banks and insurance companies, as well as fund management companies, hedge funds, consultancies, software vendors and regulatory authorities. The market for graduates with actuarial qualifications complemented with data science skills is growing fast and we expect that it will continue to grow for the foreseeable future.
Academic qualification equivalents
A bachelor degree with related subject
English language requirements (one of the below):
Year of Establishment | 1821 |
University Type | Public |
Campus Setting | Suburban |
Establishment Year | 1966 |
Endowment | £8.9 million |
Total Enrolment | 30,000+ |
Mode of Program | Full time, distance and online |
Graduate job rate | 80% |
International students applying through UCAS can find their exact tuition expenses by submitting the Fee Status Enquiry form. The cost of living will be determined by the course opted as well as the applicant's nationality. Edinburgh has a comparatively lower cost than other UK cities. Estimate cost of living on and off-campus for UK Campuses is tabulated below:
Expenses | Cost in Pounds(Monthly) |
---|---|
Hall Fees | £500- £735 |
Food/Toiletries/Laundry | £175 |
Social | £140 |
Mobile Phone | £25 |
Books and Equipment | May vary |
Travel | £1.80/per bus ticket |
Total | £865- £1,100 |
Living in a rented flat may vary according to the type of accommodation and facilities being availed. The estimated monthly cost including food and travel is £923.
Tuition Fees in USA (1st Year Average) | BE/Btech: USD 28300 | MS: USD 22693 | BBA: USD 26616 | MBA: USD 29558 | BSc: USD 29418 | MA: USD 20452 | MIS: USD 22133 | MFin: USD 37683 | MEng: USD 29558 | MIM: USD 35301 | MEM: USD 23254 | MArch: USD 34741 | MFA: USD 28857 | BHM: USD 27176 |
Average Accomodation & Food Costs in USA | USD 700 to 1000 Per Month |
Entrance Exams in USA | TOEFL: 86 | IELTS: 6.5 | PTE: 60 | GRE: 309 | GMAT: 560 | SAT: 1177 |
Work and Study in USA | Permitted for 20 hours/week with a valid study permit. Know More |
Post Study Work Permit in USA | One to Two Years after graduation depending on the course. |
Cost of Student Visa in USA | USD 160 |
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Intakes in USA | There are Three Intakes in USA: Fall (August-September), Spring (January) Know More |
Top Job Sectors in USA | Health Care, Education, Construction, Hospitality & Tourism, Business Services, Finance. |
Economy in USA | GDP Growth of 2.1% (Q4 2019), The Larges Economy of the World by Nominal |