Mathematics and Statistics with Data Science with a Placement Year at University of Reading - UCAS

University of Reading

Degree level: Undergraduate

Mathematics and Statistics with Data Science with a Placement Year

Course options

Course summary

Learn how to collect, analyse and interpret data – while developing your knowledge of mathematics – with our BSc Mathematics and Statistics with Data Science with a Placement Year course. As increasing amounts of data are collected on every aspect of human life and the world around us, in-depth knowledge of statistics is becoming more critical than ever. Statistical skills are applicable to a wide range of areas, including business, climate science, medicine and the civil service. This course, taught by University of Reading’s Department of Mathematics and Statistics, has been designed to develop both your statistical and mathematical skills. This degree is accredited by the Institute of Mathematics and its Aapplications to meet the educational requirements of the Chartered Mathematician designation when followed by subsequent training and experience in employment to obtain competencies to those specified by the Quality Assurance Agency (QAA) for taught master's degrees. What you’ll study with BSc Mathematics and Statistics with Data Science with a Placement Year In mathematics you will study:

  • calculus
  • analysis
  • linear algebra
  • differential equations.
In statistics you will cover:
  • linear models
  • statistical computing
  • probability.
During the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability. Placement within industry This course features a placement year that you will undertake between your second and final year of study. Our dedicated placements officer can provide you with advice and support for finding the ideal placement, writing a CV and developing your interview skills. Read about Connor Vidal-Cocker and his invaluable experience within Gazprom Marketing and Trading

Modules

The following modules have been approved in principle for delivery in 2024/25. Please note that as part of our current curriculum improvement process, all modules require final University approval and may be subject to change. Core modules:

  • Real Analysis I
  • Calculus
  • Foundations of Mathematics
  • Linear Algebra
  • Mathematical Communication
  • Probability and Statistics
  • Differential Equations
  • Linear Models and Data Analysis
  • Probability and Statistical Theory
  • Numerical Analysis I
  • Mathematical Modelling and Professional Skills
  • Advanced Statistical Modelling
  • Methods of Machine Learning
  • Portfolio of Projects
  • Placement Year
The University cannot guarantee that all optional modules will be available to all students who may wish to take them. Further information about the content of final approved modules will be available between May and July 2023. We suggest that you regularly revisit this webpage during this time to ensure you have the most up-to-date information regarding the modules offered on this programme.


How to apply

Application codes

Course code:
GG17
Institution code:
R12
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Contextual offers for this programme are usually two grades beneath our standard entry requirement, e.g. BCC including Mathematics at grade B.


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5We require a minimum score of 6.5 overall with at least 5.5 in each element of the test (Listening, Speaking, Reading and Writing).
TOEFL (iBT)88We require a minimum score of 88 overall with no less than 17 in Listening and Writing, 18 in Reading and 20 in Speaking.
Cambridge English AdvancedBWe require a grade B or a score of 176 overall with no element less than 162.
Cambridge English ProficiencyCWe require a grade C or a score of 176 overall with no element less than 162.
PTE Academic69We require a minimum score of 69 overall with at least 59 in each element of the test (Listening, Speaking, Reading and Writing).
Institution's Own TestTest of English for Educational Purposes (TEEP). We require a minimum score of 6.5 overall with at least 5.5 in each element of the test (Listening, Speaking, Reading and Writing).
Trinity ISEMeritWe require a Merit in each element from ISE II. If you take ISE III or ISE IV, we require a Pass in each element.

Full list of acceptable English Language Tests

http://www.reading.ac.uk/ad-EnglishTests.aspx


Student Outcomes

Operated by the Office for Students
74%
Employment after 15 months (Most common jobs)
93%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1
Republic of Ireland £9250 Year 1
EU £27650 Year 1
International £27650 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Mathematics and Statistics with Data Science with a Placement Year at University of Reading - UCAS