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How should I decide which programme to apply for?

A guide to choosing the right Multiverse apprenticeship programme, with tips on assessing skill gaps, applying new learning to your role, and an overview of available programmes including data, AI and software engineering options.

Overview

When you log into your account, you'll find a list of Multiverse programmes your employer has agreed to fund.

Note: The programmes you can apply for depend on our agreement with your employer. Not all the options below may be available to you.

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.

  1. 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.
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  2. 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

Here's a look at some of our programmes designed to help you grow.

Data & Insights for Business Decisions - Level 3

  • The Apprentice learns to use data to inform business decisions and becomes an advocate for data-informed practice within their team and organisation.

  • The Apprentice grows comfortable turning data into insights, and builds skills such as narrative building and presenting findings, so their day-to-day work is consistently backed by data.

AI-Powered Productivity - Level 3

  • The Apprentice learns to use generative AI tools to boost workplace productivity, and promotes AI literacy and responsible AI use within their organisation.

  • The Apprentice learns to write effective prompts for generative AI, manage data privacy and security, analyse data for business decisions, and champion responsible AI adoption to drive innovation.

Data Fellowship - Level 4

  • The Apprentice learns to turn raw data into insights organisations can act on, growing into a high-performing data analyst or data science professional.

  • The Apprentice grows comfortable cleaning, manipulating and visualising data, and uses data for prediction and forecasting, for example predicting a business outcome or using historical data to anticipate future business needs.

Advanced Data Fellowship - Level 6

  • The Apprentice learns to become a competent data leader and data scientist by mastering the key technologies behind digital transformation.

  • The Apprentice learns DevOps principles and develops skills in application design, data solutions and data governance, plus machine learning, data mining, natural language processing, applied statistics and project management.

Software Engineering - Level 4

  • The Apprentice learns to excel in full stack development and navigate the software development lifecycle, gaining the technical skills and practical experience needed to thrive in agile environments.

  • The Apprentice learns to design and build web applications, use modern programming languages and frameworks, collaborate in teams, and apply problem-solving techniques 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.

  • Data & Insights for Business Decisions: 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.
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  • 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.
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  • 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.

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