Gain an Applied Data Science MSc and become a data expert
Data Scientists are becoming the most in-demand talent we have ever seen. Data scientists who understand business context & can drive real change are far and few between. This Business Ready Data Scientist programme, developed in partnership with The University of Buckingham combines the technical capability required to interpret and model complex data sets with vital business context allowing participants to present their findings and drive real, valuable change.
This programme has been built into a master’s degree apprenticeship, allowing employers to fund this vital up-skilling using the apprenticeship levy.
Who is it for: experienced data analysts looking to deepen their knowledge and apply it to business context
- Applied Data Science MSc from the University of Buckingham
- Level 7 Digital and Technology Solution Specialist Apprenticeship
Duration: 18 months
What you’ll learn during your Business-Ready Data Scientist apprenticeship:
- Research Methods
- Maths and Statistics for Data Analysis
- Scripting for Data Analysis
- Data Exploration and Visualisation
- Applied Techniques of Data Mining and Machine Learning
- Systems and Tools for Data Science
- Leadership and Innovation
In order to be eligible to go on the Data Analyst apprenticeship, you’ll need:
- To be at least 16 years old
- Have English and Maths GCSEs at grade C (4) or above
- Have a 2:1 (or above) honours degree in Computing, Engineering, Physics or Mathematics
- The right to live and work in England
- To be able to commit to a full-time job plus the apprenticeship training
- To not hold a prior data (or similar) qualification at level 7 or higher
What is an apprenticeship?
An apprenticeship is a combination of a full-time job with training. Your working time will be split 80/20. 80% of your working time will be spent with your employer, in your day-to-day job. 20% of your time will be ‘off-the-job’ and spent working towards your apprenticeship qualification.
How is the training delivered?
For the Business-Ready Data Scientist apprenticeship, the training will be delivered a day a week in the University of Buckingham.
What are the benefits of doing an apprenticeship?
An apprenticeship is an excellent way to work full-time, get paid and gain new skills. It’s your way into a career, and an industry, with no prior experience.
Are apprenticeships paid?
YES! Apprenticeships are full-time jobs so you’ll receive a salary. The national apprentice minimum wage is £3.70, however all of our roles are at least £10,000 p/a- with the average salary being £12,000-£16,000 p/a.
How long does an apprenticeship last?
Apprenticeships aren’t short-term courses, they’re programmes that usually last at least a year. At Arch, our apprenticeships last from 15 – 18 months.
What happens after my apprenticeship?
In most cases, your employer will keep you on afterwards as an employee. In the rare chance that they don’t, we will support you to find another job.
What does a Data Scientist apprenticeship involve?
A Digital & Technology Solutions Specialist maintains digital and technology strategies through technology leadership; investigating, identifying and implementing technological strategic solutions. They direct digital technology provision by studying organisation goals, strategies, and practices and delivering and supporting strategic plans for implementing digital technologies.
What careers / future jobs roles can I expect?
Data scientists can work in large companies such as ‘big four’ consultancies or financial services firms, or consumer retail firms, small and medium-sized businesses such as marketing agencies, or the public sector.
What technical skills will I learn?
- Identify, document, review and design complex IT enabled business processes and provide a systematic approach to improving those processes
- Design and develop technology roadmaps, implementation strategies and transformation plans focused on digital technologies to improve productivity, functionality and end user experience
- Deliver workplace transformations through planning and implementing technology based business change programmes
- Negotiate and agree digital and technology specialism delivery budgets
- Professionally present digital and technology solution specialism plans and solutions in a well-structured business report;