Data Analysis
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.
| Award Name | Diploma of Higher Education at UK Level 5 |
|---|---|
| NFQ Classification | |
| Awarding Body | Open University |
| NFQ Level |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Diploma of Higher Education at UK Level 5 | Open University |
Duration
Part time – 4 years.
Full time – 2 years.
Time limit - 12 years.
Study method: Distance learning
How much time do I need?
• Most of our students study part time, completing 60 credits a year.
• This will usually mean studying for 16–18 hours a week.
Entry Requirements
There is no formal pre-requisite study, but you must have the required mathematical skills to study the compulsory module Essential mathematics 1 (MST124), including:
• algebraic manipulation and solving equations
• quadratics and parabolas
• geometry and trigonometry
• exponentials and logarithms.
You can check you’re ready for MST124 and see the topics it covers here.
If you don’t feel you have the required mathematical skills, you can study an additional module, Discovering mathematics (MU123), to give you the knowledge and skills you need.
Ideally, you’ll also have some basic knowledge of computing.
Careers / Further progression
Career relevance
Data analysts and programmers are highly sought after in virtually all work places. The use of data analysis in social media, online commerce and government has revolutionised the digital economy, with employers across both the public and private sectors now recruiting data analysts to solve complex business problems at the heart of supporting strategic and operational decision making. Students are well placed to develop their expertise in all areas of employment including business intelligence, management, biology, economics, education, engineering, environment studies, finance, government, logistics, medicine, meteorology, market research, sport and multinational businesses.
In addition to improving your career prospects, studying with the OU is an enriching experience that broadens your horizons, develops your knowledge, builds your confidence and enhances your life skills.
Exploring your options: see 'Course Web Page' link below for further information.
Further information
Register for this course
Start dates
• October 2024 - Registration closes 05/09/2024
• February 2025 - Registration closes 09/01/2025
• April 2025 - Registration closes 13/03/2025
Credit transfer: apply by 08/08/2024
Diploma of Higher Education in Data Analysis
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
This Diploma of Higher Education is the same as Stages 1 and 2 of our BSc (Honours) Data Science (R38). Stage 1 is the same as our Certificate of Higher Education in Data Analysis (T42).
This diploma of higher education has two stages, each comprising 120 credits.
• In Stage 1, you’ll study four 30-credit modules.
• In Stage 2, you’ll study four 30-credit modules.
See 'Course Web Page' link below for more information on modules.
Learning outcomes, teaching and assessment
This qualification develops your learning in four main areas:
• Knowledge and understanding.
• Cognitive skills.
• Practical and professional skills.
• Key skills.
The level and depth of your learning gradually increases as you work through the qualification. You’ll be supported throughout by the OU’s unique style of teaching and assessment – which includes a personal tutor to guide and comment on your work; top quality course texts; elearning resources like podcasts, interactive media and online materials; tutorial groups and community forums.
Tel: +353 1 678 5399
Our advisers are available to take your call Monday to Friday from 08:30 to 17:00, excluding public holidays.