Overview
It’s important that you understand our programs so that you can pick the right one for you.
Applying to available programs
When you log into your account to sign up for one of our apprenticeships, you will see all the Multiverse programs we offer your company. Please note that the programs available to you will depend on the agreement we’ve made with your employer. If you’ve heard of one of our programs but don’t see it offered, it likely means that it is not available to you at this time.
How to decide which is the right program for me
An apprenticeship is a chance to learn new knowledge, skills, and behaviors. As such, we need to make sure that apprentices do not have too much knowledge of the material we cover already, and that there is a clear gap between your existing skills and the skills you will learn during the apprenticeship.
However, apprentices do need to be able to apply what they are learning back to their role, so when choosing which program suits you best, please take into account that you will need to be able to apply those new skills you learn in your role. If it is not clear how you can do that, speak to your manager, who can help advise whether you’ll be able to have chances to apply what you learn in your role.
Multiverse Apprenticeship Programmes
To learn more about what you can expect to learn on our programs, read on:
Apprentices will learn how to best utilize data to inform business decisions and become advocates for data-informed practices in their teams and organization.
Apprentices will feel comfortable transforming data into insights and will learn softer skills like building narratives and presenting findings to ensure their day-to-day work is consistently backed up by data.
Apprentices will learn how to turn raw data into meaningful insights organizations can act on, growing into high-performing data analysts and data science professionals.
Apprentices will feel comfortable cleaning, manipulating, and visualizing data. They will also learn to use data for prediction and forecasting tasks, such as predicting a business outcome or using historical data to predict future business needs.
Apprentices will learn how to become competent data leaders and data scientists by mastering key technologies involved in digital transformation.
Apprentices will learn DevOps principles and develop skills in application design, data solutions, and data governance. They will also develop skills in machine learning algorithms, data mining, natural language processing, applied statistics, and efficient project management.
Apprentices will learn how to deliver strategic initiatives with an agile mindset and drive change in an evolving digital workplace.
Apprentices will learn how to drive digital change initiatives by defining business objectives, identifying opportunities for change, modeling business changes, and making data-informed decisions. They will hone skills in project management, stakeholder communication, change implementation, impact assessment, continuous improvement, and business case presentation.
Understanding software access to evaluate role fit
For many of our programs, specifically our data-related ones, you will need to be able to access and use certain types of software to be able to apply what you are learning. If you are unsure whether you’ll have access, please check with your manager if these could be available for you to use in your role.
Data Literacy/Data & Insights for Business Decisions: Excel and a BI tool (e.g. Power BI).
Data Fellowship: Excel, a BI tool (e.g. Power BI), Python, and SQL.
Advanced Data Fellowship: Excel, a BI tool, Python, SQL, Git or version controlling software, and Command line.
Frequently Asked Questions
I am interested in the Data Fellowship but I’m unsure how I would use Python in my role.
Python is a versatile programming language that can be used in a variety of roles within a company. It simplifies data analysis and manipulation through libraries such as pandas and NumPy. It’s also great at automating routine tasks, including report generation and database updates. With its web scraping capabilities, Python is a valuable tool for accumulating data from various online resources too. Its database interfacing abilities are handy for roles requiring regular data management. Moreover, with Python's machine learning capabilities, making future predictions based on existing data becomes easier thanks to its compatibility with libraries like Scikit-learn and TensorFlow.
Can I switch programs once I’ve started?
At the moment we can only support switching between our data programs (Data Literacy/Data & Insights for Business Decisions, Data Fellowship, and Advanced Data Fellowship). However, we strongly recommend that you take the time to determine which program is right for you before you apply. If you do decide to switch, we’ll need to contact you for further information which will delay the outcome of your application.If you haven’t applied yet and want to switch, we would recommend deleting your account and signing up again so that you can begin a new application for the correct program.
If you already submitted your application and are looking to apply for a different program, you can contact us via the Support Hub to request whether we can switch your application. Please note that we will need to ask you some additional questions to determine whether the program you want to transfer to is suited to your role.
I am unsure about which of your data programs would be a better fit for me, how do I know?
Our data programs cater to different data needs and data users within a company. Determining which program best fits your role will depend on how often you work with data and how you use that data:Data Literacy/Data & Insights for Business Decisions: data helps you in your day-to-day work but is not the main focus of your role. You want to learn to clean, manipulate, and visualize data to understand it and be able to draw insights to support your work.
Data Fellowship: Data makes up a large part of your daily activities. You’re not just cleaning, manipulating, and visualizing data, you’ll also use it for prediction and forecasting tasks, such as predicting a business outcome or using historical data to predict future business needs.
Advanced Data Fellowship: At least half or more of your working hours are spent with data. Your role will go beyond that of a data analyst and will be geared towards becoming a data scientist and data leader in your organization. This is a 3.3-year program, so if you are not able to apply the more technical learnings right away, that is fine. As long as you can begin to apply them by the second and third year of the program, this option could be right for you!