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Data Analysis (T42)

Open University

UCAS Code: Not applicable | Certificate of Higher Education - CertHE

Entry requirements


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About this course


Course option

1.0year

Distance learning | 2022

Subject

Data management

Computing and data analysis play an important 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**
- Introduces mathematical, statistical and computing techniques.

- Covers basic use of a range of appropriate software, including writing code in the Python language.

- Provides experience of carrying out data analysis and commenting on the results.

- Builds a solid foundation on which to continue on to a higher qualification in data science or employment in a wide range of sectors, including finance, government, health, education, the voluntary sector, business and commerce.

Modules

This qualification has one stage, comprising 120 credits.

You’ll complete one 30-credit mathematics, one 30-credit statistics and two 30-credit computing & IT modules.

The Uni


Course location:

Distance Learning

Department:

The Open University

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What students say


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This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.

After graduation


We don't have more detailed stats to show you in relation to this subject area at this university but read about typical employment outcomes and prospects for graduates of this subject below.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Computing

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£32k

£32k

£37k

£37k

£38k

£38k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

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Graduate field commentary:

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

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