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1 | ACADEMIC QUALITY TEAM | |||||||||||||||||||||||||
2 | Programme Specifications 2024-25 | |||||||||||||||||||||||||
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5 | Programme Title | BSc (Hons) Mathematics & Statistics | ||||||||||||||||||||||||
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7 | This document applies to students who commenced the programme(s) in: | 2024 | Award type | BSc | ||||||||||||||||||||||
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9 | What level is this qualification? | Level 6 | Length of programme | 3 years | ||||||||||||||||||||||
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11 | Mode of study (Full / Part Time) | Full-time | ||||||||||||||||||||||||
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13 | Will the programme use standard University semester dates? | Yes | For York Online programmes, will standard dates for such programmes be used? | N/A | ||||||||||||||||||||||
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15 | Awarding institution | University of York | Board of Studies for the programme | Mathematics | ||||||||||||||||||||||
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17 | Lead department | Mathematics | Other contributing departments | N/A | ||||||||||||||||||||||
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19 | Language of study and assessment | English | Language(s) of assessment | English | ||||||||||||||||||||||
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21 | Is this a campus-based or online programme? | Campus | ||||||||||||||||||||||||
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23 | Partner organisations | |||||||||||||||||||||||||
24 | If there are any partner organisations involved in the delivery of the programme, please outline the nature of their involvement. You may wish to refer to the Policy on Collaborative Provision | |||||||||||||||||||||||||
25 | N/A | |||||||||||||||||||||||||
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28 | Reference points | |||||||||||||||||||||||||
29 | Please state relevant reference points consulted in the design of this programme (for example, relevant documentation setting out PSRB requirements; the University's Frameworks for Programme Design (UG or PGT); QAA Subject Benchmark Statements; QAA Qualifications and Credit Frameworks). | |||||||||||||||||||||||||
30 | Undergraduate Programme Design Policy ; QAA Subject Benchmark Statement: Mathematics, Statistics and Operational Research. | |||||||||||||||||||||||||
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33 | Credit Transfer and Recognition of Prior Learning | |||||||||||||||||||||||||
34 | Will this programme involve any exemptions from the University Policy and Procedures on Credit Transfer and the Recognition of Prior Learning? If so, please specify and give a rationale | |||||||||||||||||||||||||
35 | No exemptions. | |||||||||||||||||||||||||
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38 | Exceptions to Regulations | |||||||||||||||||||||||||
39 | Please detail any exceptions to University Award Regulations and Frameworks that need to be approved (or are already approved) for this programme. This should include any that have been approved for related programmes and should be extended to this programme. | |||||||||||||||||||||||||
40 | No exemptions. | |||||||||||||||||||||||||
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43 | Internal Transfers | |||||||||||||||||||||||||
44 | Please use the boxes below to specify if transfers into / out of the programme from / to other programmes within the University are possible by indicating yes or no and listing any restrictions. These boxes can also be used to highlight any common transfer routes which it would be useful for students to know. | |||||||||||||||||||||||||
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46 | Transfers in: | Students on the BSc or MMath in Mathematics programmes may transfer to the BSc Mathematics in Statistics programme at any time during Stages 1 and 2, subject to taking the Stats route in the second year. Requests to transfer between the various combined Mathematics programmes and the BSc in Mathematics in Statistics programme are dealt with on an individual basis but are not normally possible after Semester 1 of Stage 1, and then only if the student has taken the Introduction to Probability & Statistics module. | Transfers out: | Students may transfer to the BSc or MMath Mathematics programme at any time during Stages 1 and 2, subject to satisfactory academic progress. | ||||||||||||||||||||||
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49 | Statement of Purpose | |||||||||||||||||||||||||
50 | Please briefly outline the overall aims of the programme. This should clarify to a prospective student why they should choose this programme, what it will provide to them and what benefits they will gain from completing it. | |||||||||||||||||||||||||
51 | With a BSc degree in Mathematics and Statistics from York, you will have developed your mathematical and statistical skills to be able to confidently analyse complex or unfamiliar problems. Throughout the degree you will learn to use statistical techniques covering a wide range of applications and requiring a high level of sophistication. You will develop skills which will be valuable throughout your career, such computer programming (using a general purpose language and the statistical software package R for data analysis) and the ability to write on technical subjects with clarity and precision. We pride ourselves on being a friendly and inclusive department with high-quality teaching provided in a relaxed atmosphere. You will experience a variety of ways of learning and working, through lectures, small group seminars, group and individual projects, under the careful guidance of our dedicated staff, all of whom are engaged in current research and many of whom are world leaders in their field. In the final year you will write a dissertation on a topic which puts your statistical skills into practice, under the supervision of an expert statistician. By the end you will have mastered the main tools used by statisticians working in the modern world, and have a qualification highly valued by key employers. The excellence of our programme together with York’s reputation as a top university make a BSc degree in Mathematics and Statistics at York an outstanding choice. | |||||||||||||||||||||||||
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62 | If there are additional awards associated with the programme upon which students can register, please specify the Statement of Purpose for that programme. This will be most relevant for PGT programmes with exit awards that are also available as entry points. Use additional rows to include more than one additional award. Do not include years in industry / abroad (for which there are separate boxes). | |||||||||||||||||||||||||
63 | Exit Award Title | Is the exit award also available as an entry point? | Outcomes: what will the student be able to do on exit with this award? | Specify the module diet that the student will need to complete to obtain this exit award | ||||||||||||||||||||||
64 | Certificate of Higher Education | Exit award only | Pass Stage 1 of the programme. | |||||||||||||||||||||||
65 | Diploma of Higher Education | Exit award only | Pass Stage 1 and 2 of the programme. | |||||||||||||||||||||||
66 | Ordinary Degree | Exit award only | Pass Stage 1 and 2 of the programme and any 60 credits from Stage 3. | |||||||||||||||||||||||
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68 | Programme Learning Outcomes | |||||||||||||||||||||||||
69 | What are the programme learning outcomes (PLOs) for the programme? (Normally a minimum of 6, maximum of 8). Taken together, these outcomes should capture the distinctive features of the programme and represent the outcomes that students progressively develop in the programme and achieve at graduation. PLOs should be worded to follow the stem 'Graduates will be able to...' | |||||||||||||||||||||||||
70 | 1 | Use the language of mathematics and confidently identify those problems that can be analysed or resolved by standard mathematical techniques. This includes the ability to apply those techniques successfully in the appropriate context. | ||||||||||||||||||||||||
71 | 2 | Investigate unfamiliar problems by adapting and/or synthesising a range of mathematical approaches, with an emphasis on statistical approaches. | ||||||||||||||||||||||||
72 | 3 | Use a wide range of statistical tools, including statistical software, to investigate data sets and understand the confidence with which predictions can be made from data. They will also be able to explain the reasoning behind these tools, which tools are appropriate, and the value or limitations of each. | ||||||||||||||||||||||||
73 | 4 | Conduct a study into a specialised area of statistics, by researching material from a variety of sources, and synthesize this material into a well-organized and coherent account. | ||||||||||||||||||||||||
74 | 5 | Communicate complex mathematical ideas clearly in writing, at a level appropriate for the intended audience, and also be able to provide an effective summary of these ideas for non-specialists. | ||||||||||||||||||||||||
75 | 6 | Create mathematical documents, presentations and computer programmes by accurately and efficiently using a range of digital technologies. | ||||||||||||||||||||||||
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77 | Diverse entry routes | |||||||||||||||||||||||||
78 | Detail how you would support students from diverse entry routes to transition into the programme. For example, disciplinary knowledge and conventions of the discipline, language skills, academic and writing skills, lab skills, academic integrity. | |||||||||||||||||||||||||
79 | The role of the personal tutor is to recognize the needs of students when they arrive in the first year and signpost them to appropriate support services. We have a First-Year Transition Officer, whose role is to help support students, no matter what their entry route, to successfully transition to university academic life. We signpost students to Maths Skills Centre, which offers advice and guidance on maths topics, statistical concepts and analysis. We also advise the students to use the support of the Writing Centre, which offers advice and guidance on academic writing, critical thinking and analysis skills, developing effective study habits and communication skills. More specialised skills are taught in our first-year module Mathematical Programming and Skills. This involves mathematical writing, presentation skills and employability. | |||||||||||||||||||||||||
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88 | Inclusion | |||||||||||||||||||||||||
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90 | Please confirm by ticking the box on the right that the design, content and delivery of the programme will support students from all backgrounds to succeed. This refers to the University's duties under the Equality Act 2010. You may wish to refer to the optional Inclusive Learning self-assessment tools to support reflection on this issue. | TRUE | ||||||||||||||||||||||||
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92 | Employability | |||||||||||||||||||||||||
93 | Please give a brief overview - no more than 5 sentences - of how the programmes helps develop students' employability. Your Faculty Employability Manager can help reflection on this issue. This statement will be used by Marketing as the basis for external content with respect to employability. | |||||||||||||||||||||||||
94 | Our Mathematics modules teach research skills, precise logical thinking, problem analysis, and intellectual communication. These skills are required in a wide range of sectors and our former students have been successful in securing jobs in companies, governmental agencies, and academia. We will help you identify and reflect on the professional skills gained and personal strengths developed from your course and clearly articulate how these can be transferred to a work context. Your professional skills will be developed and built upon throughout the programme, starting in the first year where some of the basic skills of team working and project management are introduced, and where your ability to communicate your skillset effectively with employers will be developed. These skills continue to be nurtured all the way through to the final year, where your project management skills will once again be at the fore. Additionally, you will have an optional opportunity to do your final year project working alongside an industrial partner. | |||||||||||||||||||||||||
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