Description
Entry requirements
To be eligible you must fulfil the following criteria:
- You must be employed in a role relevant to this programme to be eligible to apply.
- Your current role should be UK based and you must have lived here for at least three years
- The programme must address development needs in your current role
- Your line manager must be able to support you throughout the programme
- Grade 4 (C) or above in at least 5 GCSEs (or equivalent) including English and Mathematics
You will also require one of the following;
- A minimum of a 2:2 Honours degree in a related subject (e.g. STEM) from a UK or recognised international university; OR
- A minimum of a 2:1 Honours degree in a non-related subject from a UK or recognised international university; OR
- Applicants with less than the required level of academic qualification may be considered if they have significant work experience and/or a relevant professional qualification in the field of data analytics
What will you learn?
- Advanced Data Analytics
- Languages, Code Libraries and Programming Tools
- Machine Learning Algorithms
- Analytic Modelling and Visualisation
- Big Data Architectures and Analytics
- Discovering Insights from Data to Inform Decision-Making
- Applied Techniques of Data Mining and Machine Learning
- Deep Learning and Neural Networks
- Fundamentals of RPA
How is your programme structured?
This programme combines the knowledge from a professional qualification with the skills you’ll need to demonstrate professionalism in your current role.
Knowledge
Applied Data Analytics knowledge topics covered:
- Advanced Data Analytics
- Languages, Code Libraries and Programming Tools
- Machine Learning Algorithms
- Analytic Modelling and Visualisation/span>
- Big Data Architectures and Analytics
- Discovering Insights from Data to Inform Decision-Making
- Applied Techniques of Data Mining and Machine Learning
- Deep Learning and Neural Networks
- Fundamentals of RPA
Skills and behaviours
You will learn the following:
- To speak and communicate in business terms and can define the business requirements plus have the skillset to design the advanced data architectures
- Understand how the newly acquired data skillset is applied at a more strategic level, transforming data into knowledge and insight that drive decisions and direction
- Clear articulation of findings in a form that resonates with senior stakeholders, delivering real improvement and change
- Effective leadership through the digital revolution. Inspire, motivate and lead others to deliver excellent technical solutions and outcomes
- Results and outcomes driven to achieve high key performance outcomes for digital and technology solutions objectives
- Promote a high level of cooperation between your own work group and other groups to establish a technology change led culture
- Creating strong positive relationships to produce high performing technical teams
End Point Assessment
Once you have completed all of the Knowledge, Skills and Behaviours, you will complete an End Point Assessment. This is conducted by an external assessment organisation and will be graded as either a pass, fail, or distinction.
How we support you
- You will be taught by expert tutors who have practical experience in the fields in which they teach and a passion to share that knowledge to maximise your career potential
- You will have access to a Coach who is on hand to guide you through each stage of your learning journey, providing you with clear aims and objectives. They will keep in regular contact with you and instil the confidence that you can achieve
- You will also attend webinars to develop skills in a variety of areas and prepare you for the end point assessment.
- You will have access to an Online Learning Environment with all of your qualification content, additional learning resources and all the step-by-step support you need to ensure your success
Commitment from you
During this programme, six hours a week will be spent on learning and developing the required Knowledge, Skills and Behaviours. This development time will include learning new relevant tasks in your role, embedding your knowledge in your role, practical workplace training, spending development time with your Line Manager, attending online or face-to-face courses and time spent writing assignments/assessments or directed self-study hours:
- Evidencing the application of your knowledge within your working day
- Independent study and research
- Shadowing colleagues and mentoring
- Technical training
Progression upon completion
- Further career progression through work experience