Data Scientist (Integrated Degree) Apprenticeship Programme
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.
Unlock Digital Business Value - Fast
Our Data Scientist degree apprenticeship programme encompasses maths, statistics, software engineering and communications training.
This programme includes core and specialist courses that are invaluable for anyone wishing to upskill or enter a data science role, including linear algebra and probability, data analytics, data mining, data visualization and data synthesis.
Apprentices will learn to navigate both the business and IT worlds with ease, building their mathematics, computer science and trend-spotting expertise and unearthing big business insights from unstructured information and data.
With carefully tailored content, embedded ServiceNow platform training and an accelerated learning timeline, you can expect a fast return on your investment.
This varied curriculum is designed in partnership with ServiceNow, a global leader in cloud-based work flow automation and business transformation that powers the digital transformation initiatives of 6,200+ enterprise customers worldwide. Embedded ServiceNow training helps to build the essential skills that fuel new product development, increase productivity and drive digital transformation.
Award: | BSc (Hons) Data Science |
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Duration: | 3 years, 46 work weeks/year |
Location: | Distanced learning with in-person training 3 weeks per year in London. |
Apprenticeship Standard: | |
Relevant QAA Benchmark Statement: | Computing (October 2019); Mathematics, Statistics and Operational Research (October 2019) |
QAA Framework for Higher Education Qualification Level: | Honours Level 6 |
Exit Awards: | CertHE Data Science DipHE Data Science |
Programme Code: | NCHDSDA |
Start date: | October, January, April & July |
Language of instruction: | English |
Language of assessment: | English |
Mode of study: | Part-time blended learning; work-based learning |
End Point Assessment: | Integrated (60 credits) |
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Programme Specification: |
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Who is this apprenticeship for?
Our Data Scientist (Integrated Degree) Apprenticeship programme will provide the perfect route into a Data Scientist role. Read more
Approach to Learning
Nearly every employer that takes on an apprentice (96%) reports benefits to their business and as part of an NCH apprenticeship every apprentice spends 80% of their time at/in work, learning from colleagues and achieving competency through their day-to-day activities. Every apprentice also must spend at least 20% of their typical working day over the life of their apprenticeship in off-the-job learning, acquiring the additional skills. This is their structured learning pathway through the apprenticeship. This 20% off-the-job learning time is set out in the Commitment Statement and is documented and tracked by NCH, the apprentice and their line manager. Keeping pace with the trajectory in the formal learning schedule is essential for a successful apprenticeship. Progress in knowledge and skills alongside the amount of time spent in off-the-job learning will be reviewed as part of each Tri-partite progress review meeting between the apprentice, the line manager and the university Apprenticeship Advisor (at 6-8-week intervals). Read more