Data Analysis The Open University UK

Overview

This Data Analysis DipHE from The Open University UK forms a strong foundation for further study or employment in the field of data science.

Key facts:

• 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.

Skills for career development

The ability to analyse data is a much sought after skill in the modern workplace. The diploma will equip you with a strong foundation knowledge of data analysis and modelling from statistics, applied mathematics and computer science. In addition, you’ll develop important transferable skills such as communication, time management and problem solving.

Career opportunities:

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 the meantime, if you want to do some research around this qualification and where it might take you, we’ve put together a list of relevant job titles as a starting point (note that some careers may require further study, training and/or work experience beyond your degree):

• applied mathematician
• business analyst
• business manager
• chief data officer
• computer scientist
• data analyst
• data architect
• data engineer
• data scientist
• information manager
• machine learning application developer
• marketing and commerce practitioner
• statistician