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Data Analysis (T42)

  • 1 Study option
  • Undergraduate
Distance Learning
Awarded by:
The Open University
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Course options

2026-20272027-2028
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Course summary

Computing and data analysis play a crucial role in almost all private and public sector employment. The need to understand how to use IT and data to inform business decisions has never been more important. This qualification introduces you to some basic skills in exploring and analysing data sets and solving practical problems using mathematics, statistics and computing. It forms a foundation for further study or employment in the fields of mathematics, statistics, computing or data science.

Key features of the course

  • Begin learning essential mathematical, statistical and computing techniques

  • Cover basic use of a range of appropriate software, including writing code in the Python language

  • Gain experience carrying out data analysis and commenting on the results

  • Build a solid foundation on which to continue to a higher qualification in data science or employment in a wide range of sectors

Modules

Course Modules

This data analysis certificate has one stage, comprising 120 credits.

Stage 1: Stage 1 teaches basic statistical tools and quantitative methods alongside essential mathematical ideas and techniques, as well as introducing key computing and information technology concepts.

Ways to study this course

Campuses

  • Distance Learning

Study options

  • Certificate of Higher Education • Part-Time • 1 to 2 Years

Start dates

Open University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

See why these ratings were awarded
What does this TEF outcome mean?

Entry requirements

There are no qualification requirements for this course.

There are no formal entry requirements to study this qualification, but it’s very important you’re well prepared to study mathematics at this level, and are able to read and write to a good standard of English. Ideally, you’ll also have some basic knowledge of computing.

You do need experience in mathematics – you should have a working knowledge of all of the following topics:

  • arithmetic of whole numbers, decimals and fractions (including negative numbers, powers and roots)
  • algebraic manipulation, such as multiplying out brackets, factorising simple expressions, solving linear and quadratic equations, manipulating algebraic fractions and manipulating powers of variables
  • percentages, ratio and proportion
  • simple inequalities
  • exponential functions, logarithms and the rules for manipulating them. http://www.open.ac.uk/courses/qualifications/t42#entry-requirements

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

This course may have Historical entry grades data available, please select a course option to view.

Course options

Fees and funding

Tuition fees

Per year tuition fees

LocationFeeYear

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

Fees for the 2027/2028 academic year are not yet available.

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