(Integrated Master in Science:) Integrated Master in Science
Actuarial Science and Data Science
Current
University of Essex
University of Essex
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Masters
Full-time
MSCIN399
08/05/2024
Details
Professional accreditation
This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications.
Admission criteria
- A-levels: ABB - BBB or 128 - 120 UCAS tariff points from a minimum of 2 full A-levels, including B in Mathematics or Further Mathematics. Please note we are unable to accept A-level Use of Mathematics or Statistics in place of A-level Mathematics.
- BTEC: DDM or 120 UCAS tariff points from a minimum of the equivalent of 2 full A-levels and only in conjunction with A-level Maths. The acceptability of BTECs is dependent on subject studied and optional units taken - email ugquery@essex.ac.uk for advice.
- Combined qualifications on the UCAS tariff: 128 - 120 UCAS tariff points from a minimum of 2 full A levels or equivalent including B in Mathematics or Further Mathematics. Tariff point offers may be made if you are taking a qualification, or mixture of qualifications, from the list on our undergraduate application information page.
- IB: 32 - 30 points or three Higher Level certificates with 655-555.Either must include Higher Level Mathematics grade 5.
- IB Career-related Programme: We consider combinations of IB Diploma Programme courses with BTECs or other qualifications. Advice on acceptability can be provided, email Undergraduate Admissions.
- QAA-approved Access to HE Diploma: 15 level 3 credits at Distinction and 30 level 3 credits at Merit, depending on subject studied - advice on acceptability can be provided, email Undergraduate Admissions. The Access to HE Diploma is only acceptable in conjunction with A-level Mathematics
- T-levels: We consider T-levels on a case-by-case basis, depending on subject studied. The offer for most courses is Distinction overall. Depending on the course applied for there may be additional requirements, which may include a specific grade in the Core. T-levels are only acceptable in conjunction with A-level Mathematics
Contextual Offers:
We are committed to ensuring that all students with the merit and potential to benefit from an Essex education are supported to do so. For October 2024 entry, if you are a home fee paying student residing in the UK you may be eligible for a Contextual Offer of up to two A-level grades, or equivalent, below our standard conditional offer.
Factors we consider:
- Applicants from underrepresented groups
- Applicants progressing from University of Essex Schools Membership schools/colleges
- Applicants who attend a compulsory admissions interview
- Applicants who attend an Offer Holder Day at our Colchester or Southend campus
Our contextual offers policy outlines additional circumstances and eligibility criteria.
For further information about what a contextual offer may look like for your specific qualification profile, email ugquery@essex.ac.uk.
If you haven't got the grades you hoped for, have a non-traditional academic background, are a mature student, or have any questions about eligibility for your course, more information can be found on our undergraduate application information page or get in touch with our Undergraduate Admissions Team.
IELTS (International English Language Testing System) code
English language requirements for applicants whose first language is not English: IELTS 6.0 overall, or specified score in another equivalent test that we accept.
Details of English language requirements, including component scores, and the tests we accept for applicants who require a Student visa (excluding Nationals of Majority English Speaking Countries) can be found here
If we accept the English component of an international qualification it will be included in the academic levels listed above for the relevant countries.
English language shelf-life
Most English language qualifications have a validity period of 5 years. The validity period of Pearson Test of English, TOEFL and CBSE or CISCE English is 2 years.
If you require a Student visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.
Pre-sessional English courses
If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.
Pending English language qualifications
You don’t need to achieve the required level before making your application, but it will be one of the conditions of your offer.
If you cannot find the qualification that you have achieved or are pending, then please email ugquery@essex.ac.uk
.
Requirements for second and final year entry
Different requirements apply for second and final year entry, and specified component grades are also required for applicants who require a visa to study in the UK. Details of English language requirements, including UK Visas and Immigration minimum component scores, and the tests we accept for applicants who require a Student visa (excluding Nationals of Majority English Speaking Countries) can be found here
Additional Notes
If you’re an international student, but do not meet the English language or academic requirements for direct admission to this degree, you could prepare and gain entry through a pathway course. Find out more about opportunities available to you at the University of Essex International College
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
Dr Yinghui Wei
Dr Murray Pollock
Director of Statistics / Senior Lecturer
Newcastle University
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
- 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 understand and to develop models and algorithms.
- To provide statistical methods as tool box to analyse and to visualise data.
- To use of experimental designs as efficient solutions to real world problems.
- To use basic skills in data base programming and management.
- To understand data processing pipelines for large and massive data sets.
- To use programming languages as Python and R for statistical analysis and data visualisation.
- 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. It also offers the opportunity to prepare for six of the professional examinations (CB1, CB2, CM1, CM2, CS1 and CS2) 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: A systematic understanding of knowledge and a critical awareness of the basic mathematical methods and techniques of linear mathematics, calculus and statistics that underpin the study of more advanced mathematical ideas.
A2: Comprehensive 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: Conceptual understanding of the power and potential pitfalls of computer use and mathematical computer packages, and experience in their use.
A4: Systematic understanding of knowledge, and a critical awareness of the use of mathematics and data science for modelling and as an investigative tool for the solution of practical problems. An appreciation of the importance of assumptions.
A5: Conceptual understanding of one or more specialist areas of economics in depth.
A6: Conceptual understandingUnderstanding 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: A systematic understanding of knowledge, and a critical awareness of the principles of finance relevant to Actuarial Science.
A9: A systematic understanding of knowledge, and a critical awareness of the principles of economics relevant to Actuarial Science.
A10: A systematic understanding of knowledge, and a critical awareness of the principles of specific actuarial mathematics techniques.
A11: A systematic understanding of knowledge, and a critical awareness of the subjects of probability and inference and specialist statistics applications in insurance.
A12: A systematic understanding of knowledge, and a critical awareness of information technology skills as relevant to an actuary.
A13: A comprehensive understanding of ideas concerning Mathematics and Finance, including methods appropriate in specialized applications and some knowledge of relevant probabilistic/statistical/computing ideas.
A14: A systematic understanding of knowledge, and a critical awareness 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-A15.
Students are also directed to reading from textbooks and material available online.
In some modules, understanding is enhanced through the production of a written report.
Understanding is reinforced by means of classes (A1-A15), laboratories (A3, A4) and assignments (A1-A15).
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 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 course 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.