Artificial intelligence (AI) Data Specialist
Award: | MSc Artificial Intelligence and Data Science |
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Duration: | 21 months |
Location: | London, St Katharine Docks |
Apprenticeship Standard: | |
Relevant QAA Benchmark Statement: | Computing (October 2019); Mathematics, Statistics and Operational Research (October 2019) |
QAA Framework for Higher Education Qualification Level: | Masters Level 7 |
Exit Awards: | Postgraduate Certificate Artificial Intelligence and Data Science |
Programme Code: | NCHAIDSPGDA |
Start date: | October, January, April |
Language of instruction: | English |
Language of assessment: | English |
Mode of study: | Part-time blended learning; work-based learning |
End Point Assessment: | Non-integrated (180 credits) |
Programme Specification: |
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Who is this apprenticeship for?
Artificial intelligence (AI) Data Specialist Programme offers a programme of study that meets the needs and expectations of businesses and organisations and supports the career development of AI and data science professionals.
Our apprenticeship is suitable for new starters, up-skilling and re-skilling existing employees and for those looking to retrain, restart careers or enter the world of work. We are actively working with partners to ensure that we are able to attract a wide variety of talent, including ex-service personnel, those not currently in work or education and career-changers as well as school leavers and undergraduates.
Learners will understand the statistical and mathematical foundations and have advanced practical knowledge, of AI and machine learning methodologies applied to complex datasets to meet business objectives.
Our commitment to lifelong learning, pastoral support and to providing routes into digital careers for underrepresented groups provide an excellent opportunity for employers to build teams with a diversity of thought and experience – a critical factor in innovative thinking within teams.
Programme Overview
This Masters Degree Apprenticeship programme will develop professional practice, contextualised in the workplace using industry-standard technologies and approaches that are shaped by modern businesses. Apprentices studying on this programme are employed by an employer and are working in roles that focus on the advanced application of artificial intelligence (AI) and data specialisms within a business context.
Nearly every employer that takes on an apprentice (96%) reports benefits to their business and as part of an Northeastern University London apprenticeship, every apprentice spends 80% of their time at/in work, learning from colleagues and achieving competency through their day-to-day activities.
Apprentices will study with Northeastern University London at Northeastern for approximately 49 days in the first year (one day per week for 44 weeks and one five day bootcamp) and for approximately 33 days in the second year (one day per week for 28 weeks and one five day bootcamp). Additionally, the apprentice and employer will commit to a further two days per week, for provider-guided work-based training.
The MSc award is 180 credits and apprentices will be considered part-time.
Each course, typically 15 credits, is assessed by a range of activities aligned to industry norms, i.e. almost all assessments relate to workplace activities that are expected in an AI and data related occupation. The content, and consequently the learning outcomes and methods of assessment, vary between courses. Where possible, assessments will be undertaken in the workplace.
Approach to Learning
Apprenticeships allow employees to earn while they learn at the highest level and progress into higher-skilled occupations.
Employers say qualified higher apprentices are the most employable people: 25% more employable than those with other qualifications.
Our programme built with an employer group ensures that apprentices are productive at work as soon as possible, getting involved in activity at work to embed the knowledge, skills, experience and behaviours learned in the off-the-job elements of our apprenticeship.