Programme Overview
Data Analyst
Year 2
Data Analytics with Python and Data Visualisation and Statistics. Apprentices master core data science libraries (Numpy, pandas, Scikit-learn) to locate, manipulate, and analyse data, coupled with best practices for creating meaningful visualisations.
Year 3
Data Analytics with Python and Data Visualisation and Statistics. Apprentices master core data science libraries (Numpy, pandas, Scikit-learn) to locate, manipulate, and analyse data, coupled with best practices for creating meaningful visualisations.
Tech Consultant
Year 2
Entrepreneurship & Innovation and Business Risk Analysis. Apprentices develop the skills for planning and launching ventures, managing innovation, and examining the tools and techniques used to identify, measure, and manage significant Business Risks (e.g., Financial Risk, Entrepreneurial Risk).
Year 3
Machine Learning and Big Data Analytics. The focus shifts to automated data analysis, implementing machine learning techniques for predictive analytics, and extracting insights from large, unstructured datasets (Big Data).
Software Engineer
Year 2
Applied Artificial Intelligence and Advanced Programming & Algorithmic Design. This includes exploring a range of programming paradigms, complex data structures (like Heaps and Graphs), and applying principles of AI and machine learning.
Year 3
Enterprise Software Engineering and Software Quality Assurance. Apprentices learn to design, implement, and maintain non-trivial enterprise systems, focusing on Microservices, Scalability, DevOps, and comprehensive testing strategies (SQA).
Cyber Security Specialist
Year 2
Cyber Security in Society and Cyber Security Analytics. Core learning covers the CIA model (Confidentiality, Integrity, Availability), Risk Assessment, and analysing data related to threats using tools like SIEM systems (e.g., Splunk) and network traffic analysis.
Year 3
Cyber Security Management and Cyber Security Penetration Testing. Apprentices learn to develop and implement a security programme within an organisation, covering management frameworks (e.g., GDPR, NIS Directive), and gain practical, ethical knowledge in penetration testing to identify and exploit system vulnerabilities.
Why Ada
Levy Funding
The problem we solve
Our apprentices are so critical to our future. They enable us to increase and improve diversity.
If we look at the society we live in, the technology choices that we make today, will be the technology impacts and choices that we live with in 20 years from now.
The leaders that are making those decisions need to reflect the society that we live in.
Some of our apprenticeship partners
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FAQS
What are my commitments as an employer?
Employers provide a dedicated line manager or technical mentor, access to necessary tools and resources, meaningful work (automation projects, data access, team involvement), and active participation in the apprentice’s progress reviews and final sign-off.
How much does it cost?
Levy-paying employers (payroll over £3m): training is fully funded through your existing levy, your only cost is the apprentice’s salary. Non-levy employers: the government covers 95% of training costs; you pay just 5%, in instalments. Ada also supports recruitment at no additional cost.
Where does training take place?
Ada has cutting-edge campuses in London and Manchester. In-person ‘Ada Lab’ weeks are held on campus. Weekly learning is delivered remotely. Ada can also deliver closed employer cohorts across England.
Who are Ada’s current employer partners?
Ada works with leading organisations including ClearScore, Bank of America, HSBC, Booking.com, Bloomberg, PwC, Deloitte, Legal & General, Royal London, AutoTrader, Just Eat, Siemens, Hewlett Packard Enterprise, Channel 4, British Council, Accurx, and many more.
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