Statistics (Placement Year) BSc Hons - 2019 Entry

UCAS Code
G302

Entry Year
2019 also available in 2018

A Level Requirements
AAA see all requirements see all requirements

Duration
Full time 4 Year(s)

Course Overview

Statistics help us study and overcome scientific, industrial and social problems; the discipline supports everything from architecture and engineering to health and medicine. A Placement year helps you to apply the skills you’ve learnt and to engage with these issues, which will prepare you for a rewarding career.

Statistics is concerned with the fundamental and advanced concepts of data handling and our statisticians become experts in data collection, analysis, and presentation. This is an engaging programme of study and our reputation for excellence in research means that we are able to offer high-quality teaching delivered by academics who are leaders in their field.

During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and statistical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills. To prepare you for your third year placement, you’ll undertake the Preparation for Placement module which provides guidance on writing your CV, finding a placement and interview techniques.

In the second year, you will further develop your knowledge in analysis, algebra, probability and statistics. You will also be introduced to Computational Mathematics, exploring the theory and application of computation and numerical problem-solving methods. While studying these topics, you will complete our Project Skills module, which provides you with the chance to enhance your research and employment skills through an individual and group project. Additionally, you will gain experience of scientific writing, and you will practise using statistical software such as R and LaTeX. In Lent term you’ll complete the Work Based Learning Preparation module which covers topics such as workplace structures, handling difficult conversations and the importance of being a reflective practitioner.

In third year you will undertake a 12 month placement which will allow you to apply the knowledge and skills that you’ve learnt in Years 1 and 2, and to gain invaluable experience which will make you highly employable when you graduate. Our Faculty Placements Team and Careers service will support you in securing your placement, which will be of graduate level, and will continue to support you throughout the year to ensure that you are getting the most out of your year away from Lancaster. As well as your paid employment, you will submit monthly learning logs reflecting on your experience

Your final year offers a wide range of specialist optional modules, allowing you to develop and drive the programme to suit your interests and guide you to a specific career pathway. You will have the chance to apply the skills and knowledge you have gained in the first two years in advanced statistical modules, such as Likelihood Inference, Bayesian Inference, Medical Statistics and Multivariate Statistics. Looking back at your placement year, you will also complete a portfolio of work-based learning reflections such as the skills you’ve developed and the experiences you’ve had, and how this has impacted upon your future aspirations. 

  • Course Overview

    Course Overview

    Statistics help us study and overcome scientific, industrial and social problems; the discipline supports everything from architecture and engineering to health and medicine. A Placement year helps you to apply the skills you’ve learnt and to engage with these issues, which will prepare you for a rewarding career.

    Statistics is concerned with the fundamental and advanced concepts of data handling and our statisticians become experts in data collection, analysis, and presentation. This is an engaging programme of study and our reputation for excellence in research means that we are able to offer high-quality teaching delivered by academics who are leaders in their field.

    During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and statistical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills. To prepare you for your third year placement, you’ll undertake the Preparation for Placement module which provides guidance on writing your CV, finding a placement and interview techniques.

    In the second year, you will further develop your knowledge in analysis, algebra, probability and statistics. You will also be introduced to Computational Mathematics, exploring the theory and application of computation and numerical problem-solving methods. While studying these topics, you will complete our Project Skills module, which provides you with the chance to enhance your research and employment skills through an individual and group project. Additionally, you will gain experience of scientific writing, and you will practise using statistical software such as R and LaTeX. In Lent term you’ll complete the Work Based Learning Preparation module which covers topics such as workplace structures, handling difficult conversations and the importance of being a reflective practitioner.

    In third year you will undertake a 12 month placement which will allow you to apply the knowledge and skills that you’ve learnt in Years 1 and 2, and to gain invaluable experience which will make you highly employable when you graduate. Our Faculty Placements Team and Careers service will support you in securing your placement, which will be of graduate level, and will continue to support you throughout the year to ensure that you are getting the most out of your year away from Lancaster. As well as your paid employment, you will submit monthly learning logs reflecting on your experience

    Your final year offers a wide range of specialist optional modules, allowing you to develop and drive the programme to suit your interests and guide you to a specific career pathway. You will have the chance to apply the skills and knowledge you have gained in the first two years in advanced statistical modules, such as Likelihood Inference, Bayesian Inference, Medical Statistics and Multivariate Statistics. Looking back at your placement year, you will also complete a portfolio of work-based learning reflections such as the skills you’ve developed and the experiences you’ve had, and how this has impacted upon your future aspirations. 

  • Entry Requirements

    Entry Requirements

    Grade Requirements

    A Level AAA including A level Mathematics or Further Mathematics OR AAB including A level Mathematics and Further Mathematics

    IELTS 6.0 overall with at least 5.5 in each component. For other English language qualifications we accept, please see our English language requirements webpages.

    Other Qualifications

    International Baccalaureate 36 points overall with 16 points from the best 3 Higher Level subjects including 6 in Mathematics HL

    BTEC May be accepted alongside A level Mathematics and Further Mathematics

    STEP Paper or the Test of Mathematics for University Admission Please note it is not a compulsory entry requirement to take these tests, but for applicants who are taking any of the papers alongside Mathematics and/or Further Mathematics we may be able to make a more favourable offer. Full details can be found on the Mathematics and Statistics webpage.

    We welcome applications from students with a range of alternative UK and international qualifications, including combinations of qualification. Further guidance on admission to the University, including other qualifications that we accept, frequently asked questions and information on applying, can be found on our general admissions webpages.

    Contact Admissions Team + 44 (0) 1524 592028 or via ugadmissions@lancaster.ac.uk

  • Course Structure

    Course Structure

    Many of Lancaster's degree programmes are flexible, offering students the opportunity to cover a wide selection of subject areas to complement their main specialism. You will be able to study a range of modules, some examples of which are listed below.

    Year 1

      Core

    Year 2

      Core

    Year 3

      Core

    Year 4

      Optional

    Lancaster University offers a range of programmes, some of which follow a structured study programme, and others which offer the chance for you to devise a more flexible programme. We divide academic study into two sections - Part 1 (Year 1) and Part 2 (Year 2, 3 and sometimes 4). For most programmes Part 1 requires you to study 120 credits spread over at least three modules which, depending upon your programme, will be drawn from one, two or three different academic subjects. A higher degree of specialisation then develops in subsequent years. For more information about our teaching methods at Lancaster visit our Teaching and Learning section.

    Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.

  • Careers

    Careers

    Statistics graduates are highly employable, having in-depth specialist knowledge and a wealth of skills. Through this degree, you will graduate with a comprehensive skill set, including data analysis and manipulation, logical thinking, problem-solving and quantitative reasoning, as well as adept knowledge of the discipline. In addition, statistics plays a valuable role in all businesses and enterprises. As a result, statisticians are sought after in a range of industries, such as education, finance, forensics, health, market research, and transport.

    The starting salary for many graduate statistical roles is highly competitive, and popular career options include:

    • Assistant Statistician
    • Data Analyst
    • Market Research
    • Mathematical Modeller
    • Statistical Officer
    • Teacher

    Alternatively, you may wish to undertake postgraduate study at Lancaster and pursue a career in research and teaching.

    Lancaster University is dedicated to ensuring you not only gain a highly reputable degree, you also graduate with the relevant life and work based skills. We are unique in that every student is eligible to participate in The Lancaster Award which offers you the opportunity to complete key activities such as work experience, employability/career development, campus community and social development. Visit our Employability section for full details.

  • Fees and Funding

    Fees and Funding

    Fees

    We set our fees on an annual basis and the 2019/20 entry fees have not yet been set.

    As a guide, our fees in 2018 were:

    UK/EU Overseas
    £9,250 £18,890

    Channel Islands and the Isle of Man

    Some science and medicine courses have higher fees for students from the Channel Islands and the Isle of Man. You can find more details here: Island Students.

    Funding

    For full details of the University's financial support packages including eligibility criteria, please visit our fees and funding page

    Students also need to consider further costs which may include books, stationery, printing, photocopying, binding and general subsistence on trips and visits. Following graduation it may be necessary to take out subscriptions to professional bodies and to buy business attire for job interviews. 

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