(BSc) Bachelor of Science
Actuarial Science
Current
University of Essex
University of Essex
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Honours Degree
Full-time
Mathematics, Statistics and Operational Research
Economics
Finance
BSC N323
19/03/2014
Details
Professional accreditation
Accredited by the Institute and Faculty of Actuaries for the purpose of exemption from some professional examinations.
Admission criteria
A-levels: AAB, including A in Mathematics or ABB, including B in Further Mathematics
Please note we are unable to accept A-level Use of Mathematics in place of A-level Mathematics
IB: 33 points, including Higher Level Mathematics grade 6
IELTS (International English Language Testing System) code
English language requirements for applicants whose first language is not English: IELTS 6.0 overall. (Different requirements apply for second year entry.)
If you are an international student requiring a Tier 4 visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.
Other English language qualifications may be acceptable so please contact us for further details. If we accept the English component of an international qualification then it will be included in the information given about the academic levels required. Please note that date restrictions may apply to some English language qualifications.
Course qualifiers
A course qualifier is a bracketed addition to your course title to denote a specialisation or pathway that you have achieved via the completion of specific modules during your course. The
specific module requirements for each qualifier title are noted below. Eligibility for any selected qualifier will be determined by the department and confirmed by the final year Board of
Examiners. If the required modules are not successfully completed, your course title will remain as described above without any bracketed addition. Selection of a course qualifier is
optional and student can register preferences or opt-out via Online Module Enrolment (eNROL).
None
Rules of assessment
Rules of assessment are the rules, principles and frameworks which the University uses to calculate your course progression and final results.
Additional notes
None
External examiners
Prof John Nigel Scott Matthews
Professor of Medical Statistics
The University of Newcastle-upon-Tyne
External Examiners provide an independent overview of our courses, offering their expertise and help towards our continual improvement of course content, teaching, learning, and assessment.
External Examiners are normally academics from other higher education institutions, but may be from the industry, business or the profession as appropriate for the course.
They comment on how well courses align with national standards, and on how well the teaching, learning and assessment methods allow students to develop and demonstrate the relevant knowledge and skills needed to achieve their awards.
External Examiners who are responsible for awards are key members of Boards of Examiners. These boards make decisions about student progression within their course and about whether students can receive their final award.
Programme aims
BSc Actuarial Science is a 3 year programme of study.
The course aims to provide an advanced understanding of the theoretical, practical and technological developments that affect the whole of the actuarial discipline.
The aims of the BSc in Actuarial Science are:
To offer an innovative, dynamic and flexible programme that considers developments in the academic study of actuarial science.
To develop students' ability to formulate and solve problems.
To develop in students appreciation of actuarial methods, and of the links between the theory of the subjects and their practical application in industry.
To develop in students a logical, formal and quantitative approach to solving problems.
To provide a foundation of knowledge about the financial sector and risk management.
To equip and develop tools and skills to tackle issues and problems in financial analysis.
To provide students with a knowledge and skills base from which to develop further abilities to understand and analyse financial markets and institutions.
To form all rounded actuarial professionals with good grounding in the mathematical and statistical approach.
To provide a favourable teaching and learning environment for students to evolve, thrive and achieve their potential.
The course also provides the foundation for a career in many areas of finance and risk.
It also offers the opportunity to prepare for eight of the Core Technical Subjects (CT1 to CT8) of the professional examinations of the Institute and Faculty of Actuaries.
The course will produce specialists who will help meet the demand for actuaries to support the local, and national economy, and beyond.
Learning outcomes and learning, teaching and assessment methods
On successful completion of the programme a graduate should demonstrate knowledge and skills as follows:
A: Knowledge and understanding
A1: Knowledge and understanding of the basic mathematical methods and techniques of linear mathematics, calculus and statistics that underpin the study of more advanced mathematical ideas.
A2: Knowledge and understanding of some of the ideas and methods used in mathematical proof of results in algebra, analysis, and discrete mathematics and familiarity with some specific examples.
A3: Knowledge and understanding of the power and potential pitfalls of computer use and mathematical computer packages, and experience in their use.
A4: Knowledge and understanding of the use of mathematics for modelling and as an investigative tool for the solution of practical problems. An appreciation of the importance of assumptions.
A5: Appreciation of one or more specialist areas of economics in depth
A6: Understanding of the application of economic reasoning to the study of relevant problems and policies.
A7: Understanding of contemporary theories relating to portfolio analysis, asset allocation and the market efficiency debate
A8: Knowledge and understanding of the principles of finance relevant to Actuarial Science.
A9: Knowledge and understanding of the principles of economics relevant to Actuarial Science.
A10: Knowledge and understanding of the principles of specific actuarial mathematics techniques
A11: Knowledge and understanding of the subjects of probability and inference and specialist statistics applications in insurance
A12: Knowlede and understanding of information technology skills as relevant to an actuary
A13: A range of ideas concerning Mathematics and Finance, including methods appropriate in specialized applications and some knowledge of relevant probabilistic/statistical/computing ideas.
A14: Knowledge and understanding of the application of reasoning in financial analysis to applied topics.
A15: Knowledge and understanding of the debate on the performance of national and international financial markets
Learning methods
Lectures are the principal method of delivery for the concepts and principles involved in A1-A16.
Students are also directed to reading from textbooks and material available on-line.
In some modules, understanding is enhanced through the production of a written report.
Understanding is reinforced by means of classes (A1-A16), laboratories (A3, A4) and assignments (A1-A16).
Assessment methods
Achievement of knowledge outcomes is assessed primarily through unseen closed-book examinations, and also, in some modules through marked coursework, laboratory reports, statistical assignments, project reports and oral examinations.
Regular problem sheets provide formative assessment in most modules.
B: Intellectual and cognitive skills
B1: Analyse a specified problem and choose the most suitable methods and tools for its solution.
B2: Assess the relative merits of a range of theories, techniques and tools needed for a problem's solution or to articulate arguments and policies.
B3: Synthesise and interpret information from a range of sources (lectures, classes, journals, books, etc.) developing a critical evaluation of the importance and relevance of the sources to an area of study.
B4: Construct reasoned, informed and concise descriptions and assessments of accounting or finance ideas.
B5: Critically evaluate contemporary theories and empirical evidence, marshal evidence, develop an argument (in writing) and present ideas in a coherent and effective manner;
B6: Manipulate and analyse numerical (including financial) data and appreciate the nature and limitations of basic statistical concepts;
Learning methods
The basis for intellectual skills is provided in lectures, and the skills are developed by means of recommended reading, guided and independent study, assignments and project work.
B1-B6 are developed through exercises supported by classes.
B1-B6 are all important aspects of the projects which constitute a part of some modules.
Assessment methods
Achievement of intellectual skills is assessed primarily through unseen closed-book examinations, and also through marked assignments and project work.
C: Practical skills
C1: Use computational tools and packages.
C2: The ability to apply a rigorous, analytic, highly numerate approach to a problem.
C3: Identify, select and gather information, using the relevant sources.
C4: Organise ideas in a systematic way.
C5: Present financial ideas and arguments coherently in writing.
C6: Use and apply the terminology and concepts of finance.
Learning methods
The practical skills of actuarial science including mathematics, finance and economics are developed in exercise classes, laboratory classes, assignments and project work.
C1 is acquired through the learning of at least one programming language and the use of a number of computer packages, as a part of the teaching of module for which they are relevant.
C2-C6 are acquired and enhanced throughout the programme.
Assessment methods
Achievement of practical skills is assessed through marked coursework and project reports.
D: Key skills
D1: Communicate effectively, both mathematical arguments and textual accounts of ideas.
D2: Use appropriate IT facilities as a tool in the analysis of mathematical problems.
D3: Use mathematical techniques correctly.
D4: Analyse complex problems and find effective solutions.
D5: Organise activity and manage time in the course of study.
D6: Capacity to organise and implement a plan of independent study.
Learning methods
D1 is practised throughout the scheme in the writing of solutions to mathematical problems, both for assessment and as exercises, and (in some modules) writing reports or projects.
D1 and D2 are developed in group and individual project work.
D2 is developed through the use of computer packages in a number of modules.
D3 - D6 are developed in exercises and assignments throughout the course.
Assessment methods
D1 is assessed through examinations, coursework and oral examinations.
D2 is assessed primarily through coursework.
Assessment of the key skills.
D3 - D6 is intrinsic to subject based assessment.