Artificial intelligence (AI) Data Specialist
Accelerate the digital capabilities of your business with a tailored, experience-driven degree programme designed to build technical expertise, drive organisational processes and boost productivity.
Entry Requirements
Learners will need to apply for a masters degree apprenticeship role within a hiring business, or already be in employment with responsibilities to be aligned with the postgraduate degree content.
Standard offers
Entry requirements are agreed then set, based on numerous factors including availability of additional on-the-job support, by both the Employer and Provider. As such, entrance requirements may vary between apprenticeships. Apprentices are selected based on their application, an interview and an assessment process which is tailored to the learner’s apprenticeship position.
Typically, employers require:
- A first class, 2:1 or 2:2 degree level award in a STEM subject
- At least Grade 4/C GCSE Maths, English and IT
- Confident in Python in a data setting
- Awareness of machine learning i.e logistic or linear regression
- Knowledge of following packages:
- IDE’s -PyCharm
- Eclipse
- jupyter notebook
- pandas
- matplotlib
- numpy
- seaborn
- unittest
- datatbases
- sklearn
Some applicants may not have traditional qualifications as listed above and have prior learning and skills developed from the workplace, these will be considered on a case by case basis.
Learners must meet these eligibility criteria
- Have been a UK/EU/ESS resident for the past three years or more prior to starting the programme
- Have left full-time education prior to the start date of the apprenticeship
- Be aged at least 16 years old to meet government funding criteria
Recognition of prior learning
Where a learner is eligible to apply for the recognition of prior learning on the basis of certificated or experiential learning, this will be considered in the Initial Needs Analysis, as per Education Skills and Funding Agency (ESFA) Funding Rules, and will take due consideration of the Northeastern University London at Northeastern’s Recognition of Prior Learning and Credit Transfer Policy.