How should I decide which programme to apply for?

Overview

When you open your invitation link, the programme matcher shows the Multiverse programmes your employer has agreed to fund, with a fit level for each one. Only the programmes shown are available to you.

Note: The programmes you can apply for depend on our agreement with your employer. Not every Multiverse programme is available to every candidate.

For how to read your fit levels and compare the programmes shown, see How to Read Your Programme Matcher Results and Choose a Programme.

Tips for Choosing the Right Programme

An apprenticeship is a chance to learn new skills and gain fresh insights. Here are two tips to help you choose the right programme.

Check your current skills
Look for a clear gap between what you already know and what the programme teaches. Apprenticeship programmes suit people who are ready to grow, so avoid a programme that covers material you already know well.
Think about how you'll apply what you learn
Make sure you can apply your new skills in your day-to-day role. If you're unsure, talk to your manager. They can offer guidance and help you connect the dots.

Explore Multiverse Apprenticeship Programmes

Each programme has its own article in the Apprenticeship Programmes section of this Support Hub, covering what it teaches, who it suits and how it is delivered. The programmes below are some of the most common.

Data and Insights with AI Fundamentals: use data to inform business decisions, build insights and present findings, for people whose role is supported by data rather than centred on it.
AI-Powered Productivity (Level 3): use generative AI tools to boost productivity, write effective prompts, manage data privacy and champion responsible AI use.
Data Fellowship (Level 4): clean, manipulate and visualise data, and use it for prediction and forecasting, for people whose daily work is largely data.
Advanced Data Fellowship (Level 6): data science and data leadership, including machine learning, data governance and application design.
Software Engineering (Level 4): full stack development and the software development lifecycle, from design to real-world coding challenges.

Frequently Asked Questions (FAQs)

Questions	Answers
Question: I am interested in the Advanced Data Fellowship, but I'm unsure how I would use Python in my role	Answer: Python is a versatile programming language used across many roles. It simplifies data analysis and manipulation through libraries such as pandas and NumPy. It also automates routine tasks, including report generation and database updates. Python's web scraping features help gather data from online sources, and its database interfacing supports roles that need regular data management. With libraries like Scikit-learn and TensorFlow, Python also supports machine learning, making it easier to predict future outcomes from existing data.
Question: I am unsure which of your data programmes would be a better fit for me. How do I know?	Answer: Our data programmes suit different data needs and different types of data user. The right programme for you depends on how often you work with data and how you use it. The programme matcher shows which of them are available to you. Data and Insights with AI Fundamentals: Data supports your day-to-day work but isn't the main focus of your role. You want to learn to clean, manipulate and visualise data, and to draw insights that support your work. Data Fellowship: Data makes up a large part of your daily work. Beyond cleaning, manipulating and visualising data, you also use it for prediction and forecasting, for example to anticipate a business outcome or future business needs. Advanced Data Fellowship: At least half your working hours involve data. This role goes beyond data analysis towards data science and data leadership. The programme runs for 3.3 years, so it's fine if you can't apply the more technical learning right away. As long as you can apply it by the second or third year, this option could suit you.
Question: A programme I have heard about is not on my recommendations page. Can I apply for it?	Answer: Only the programmes shown on your recommendations page are available to you. A programme may be missing because your employer has not made it available, because a required condition was not met, or because it is closed to new starts. Contact the Multiverse Support Team if you are not sure which applies.