Data Scientist (Integrated Degree) Apprenticeship Programme / Apprenticeships

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
Careers:	Data Scientist Informatics Specialist Data Engineer
ServiceNow Certifications:	Certified System Administrator (CSA) Numerous micro-certification credentials Additional ServiceNow training on request
Duration:	3 years, 46 work weeks/year
Location:	Distanced learning with in-person training 3 weeks per year in London.
Apprenticeship Standard:	Data Scientist (Integrated Degree) ST0585
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)
Programme Information:	Click here
Programme Specification:	Click here

Who is this apprenticeship for?

Our Data Scientist (Integrated Degree) Apprenticeship programme will provide the perfect route into a Data Scientist role. Read more

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.

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.

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

Employers say qualified higher apprentices are the most employable people: 25% more employable than those with other qualifications. Nearly every employer that takes on an apprentice (96%) reports benefits to their business and we intend to maintain this through the design of our degree apprenticeship. 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.

We deliver our off-the-job learning for our apprenticeships in flexible, modular programmes based on each individual’s prior knowledge, skills, and experience. We offer multiple start times throughout the year, learning though block sessions, online courses, assignments and project work. Our expertise is in modular, stackable learning. This flexible approach is part of our design and delivery DNA.

Our apprentices progress along a career path from day one, gaining professional skills, status and accreditation as they go. Degree apprenticeships allow employees to earn while they learn at the highest level and progress into higher skilled occupations.