(BSc) Bachelor of Science
Statistics (Including Foundation Year)
Current
University of Essex
University of Essex
Essex Pathways
Colchester Campus
Honours Degree
Full-time
Mathematics, Statistics and Operational Research
BSC 9K18
10/05/2023
Details
Professional accreditation
None
Admission criteria
UK and EU applicants:
All applications for degree courses with a foundation year (Year Zero) will be considered individually, whether you
- think you might not have the grades to enter the first year of a degree course;
- have non-traditional qualifications or experience (e.g. you haven’t studied A-levels or a BTEC);
- are returning to university after some time away from education; or
- are looking for more support during the transition into university study.
Standard offer:
Our standard offer is 72 UCAS tariff points from at least two full A-levels, or equivalent.
Examples of the above tariff may include:
- A-levels: DDD
- BTEC Level 3 Extended Diploma: MMP
- T-levels: Pass with E in core
For this course all applicants must also hold GCSE Maths and Science at grade C/4 or above (or equivalent). We may be able to consider a pass in Level 2 Functional Skills Maths where you cannot meet the requirements for Maths at GCSE level. However, you are advised to try to retake GCSE Mathematics if possible as this will better prepare you for university study and future employment.
If you are unsure whether you meet the entry criteria, please get in touch for advice.
Mature applicants and non-traditional academic backgrounds:
We welcome applications from mature students (over 21) and students with non-traditional academic backgrounds (might not have gone on from school to take level 3 qualifications). We will consider your educational and employment history, along with your personal statement and reference, to gain a rounded view of your suitability for the course.
You will still need to meet our GCSE requirements.
International applicants:
Essex Pathways Department is unable to accept applications from international students. Foundation pathways for international students are available at the University of Essex International College and are delivered and awarded by Kaplan, in partnership with the University of Essex. Successful completion will enable you to progress to the relevant degree course at the University of Essex.
IELTS (International English Language Testing System) code
English language requirements for applicants whose first language is not English: IELTS 5.5 overall. Specified component grades are also required for applicants who require a Tier 4 visa to study in the UK.
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
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.
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.
Additional Notes
Our Year 0 courses are only open to UK and EU applicants. If you’re an international student, but do not meet the English language or academic requirements for direct admission to your chosen 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
A degree designed for mathematicians who are oriented towards applying their skills into understanding and analysing data using modern statistical methods.
- To equip students with an equivalent level of mathematical and statistical knowledge and skills that are currently in demand in statistically oriented employment in business, commerce, industry, government service, health, the field of education and in the wider economy.
- To provide students with a foundation for further study, research and professional development.
- To produce graduates who are mathematically and statistically literate and capable of appreciating a logical argument.
- To produce graduates who can perform data analysis, understand randomness and sampling.
- To provide teaching which is informed and enhanced by the research activities of the staff.
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: Knowledge and understanding of the use of probability and statistics for research methods, data analysis, hypothesis testing and statistical modelling.
Learning methods
Lectures are the principal method of delivery for the concepts and principles involved in A1-A5.
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-A5), laboratories (A3, A4, A5) and assignments (A1-A5).
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 (A1-A5).
Regular problem sheets provide formative assessment in all modules.
Methods employed to assess knowledge and understanding of statistics include: class presentations, written coursework, project work and class tests.
B: Intellectual and cognitive skills
B1: Identify an appropriate method to solve a specific mathematical problem.
B2: Analyse a given mathematical problem and select the most appropriate tools for its solution.
B3: Identify data from relevant sources.
B4: Evaluate evidence.
B5: Perform statistical data analysis.
Learning methods
The basis for intellectual skills in mathematics modules is provided in lectures, and the skills are developed by means of recommended reading, guided and independent study, assignments and project work.
B1 and B2 are developed through exercises supported by classes.
B1 and B2 are all-important aspects of the projects that constitute a part of some modules and the optional final year project.
B3 to B5 are acquired through group projects assignments and analysis of authentic materials in class; laboratory work involving use of dedicated software collection of data and online materials.
Assessment methods
Achievement of intellectual skills in mathematics modules is assessed primarily through unseen closed-book examinations, and also through marked assignments and project work (B1 and B2).
Methods employed to assess knowledge and understanding statistics include: class presentations, written coursework, project work and class tests.
C: Practical skills
C1: Use computational tools and packages.
C2: The ability to apply a rigorous, analytic, highly numerate approach to a problem.
C3: Organising and presenting data.
C4: Gathering and processing information from different sources.
Learning methods
The practical skills of mathematics and statistics 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 modules for which they are relevant.
C2 is acquired and enhanced throughout the course.
C3 is acquired through such methods as group discussion of topical themes and analysis of authentic materials in class, laboratory work involving use of dedicated software and online materials and staff advice, feedback and interaction with students.
C4 is acquired and enhanced throughout the course.
Assessment methods
Achievement of practical skills C1 and C2 is assessed through marked coursework, project reports and oral examinations.
Methods employed to assess practical skills C3 and C4 typically include class presentations, written coursework, written exams, class tests and web-based assignments.
D: Key skills
D1: Communicate effectively mathematical arguments, and ideas and information in the chosen language.
D2: Use appropriate IT facilities as a tool in the analysis of mathematical problems, word processing, finding modern language materials etc.
D3: Use mathematical techniques correctly.
D4: Analyse complex problems and find effective solutions.
D5: Collaborate with others to work creatively and flexibly as part of a team
D6: Working autonomously showing organisation, self-discipline and time management
Learning methods
D1 is practised throughout the course in the writing of solutions to mathematical problems, both for assessment and as exercises.
D2 is developed through the use of computer packages in a number of mathematics and statistics modules.
D3 and D4 are developed and enhanced in all mathematics modules.
D5 is developed in various mathematics and statistics modules, through exercises and assessments.
D6 is developed and enhanced throughout the course of the degree.
Assessment methods
D1 is assessed through coursework and oral examinations.
D2 is assessed primarily through coursework.
Assessment of the key skills D3 and D4 is intrinsic to subject-based assessment in mathematics.
D5 is assessed through group work in various mathematics and language modules.
Assessment of key skill D6 is mainly through successful submission of coursework.