Course Summary

Data plays an important role in almost all private and public sector employment. The need to understand how to use data to inform business decisions has never been more important. This qualification equips you with the key skills to explore and analyse complex data sets and solve practical problems using applied mathematics, statistics and computing. It forms a strong foundation for further study or employment in the field of data science. **Key features of the course** - Develops familiarity with mathematical, statistical and computational data modelling techniques. - Builds working knowledge of a range of appropriate software, including writing code in the Python language. - Provides experience of carrying out data analysis, and of communicating and critically commenting on the results. - Builds a solid foundation on which to continue on to a degree in data science or employment in a wide range of sectors, including finance, government, health, education, the voluntary sector, business and commerce.

Course Details - Modules

This qualification has two stages, each comprising 120 credits. Stage 1 has with one 30-credit mathematics, one 30-credit statistics and two 30-credit computing & IT modules. In Stage 2, you’ll study one 30-credit applied mathematics module, two 30-credit statistics modules and one 30-credit computing & IT module.

Course Details – Assessment Method

Assessment Methods are not listed for this Course.

Course Details – Professional Bodies

Professional Bodies are not listed for this Course.

How to Apply

Deadline are not listed for this Course. This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application Codes

Course code: Application Code are not listed for this Course.

Institution code: O11

Campus Name: Distance Learning

Campus code:

Points of Entry

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry (Year 2 and Beyond)

Entry Requirements for Advanced Entry are not listed for this Course.

International applicants

Standard Qualification Requirements


There is no formal pre-requisite study, but you must have the required mathematical skills, including: algebraic manipulation and solving equations quadratics and parabolas geometry and trigonometry exponentials and logarithms. You can check you’re ready and find more module details by following the link below. If you don’t feel you have the required mathematical skills, you can study an additional module to give you the knowledge and skills you need.

Please click the following link to find out more about qualification requirements for this course

http://www.open.ac.uk/courses/computing-it/diplomas/diploma-in-data-analysis-w77#entry-requirements

Minimum Qualification Requirements

Minimum Further Information are not listed for this Course.

English language requirements

Test Grade AdditionalDetails
English Language Entry Requirement Information are not listed for this Course.

Unistats information

Student satisfaction : 0%

Employment after 15 months (Most common jobs): 0%

Go onto work and study: 0%

Fees and funding

Additional Fee Information

2022/2023 academic year fees are not yet available.

Provider information

Student Recruitment Team
PO Box 197
Address3 are not listed for this Course.
Milton Keynes
MK7 6BJ

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