Explore our Degrees

Develop, reward and retain talent within your organisation with our Data Science MSc and Data Science Degree Apprenticeships, in collaboration with Anglia Ruskin University

 

 

 

Who are the degrees for?

Data Science MSc

  • Self or employer-funded degree (for Apprenticeship Levy funded programmes, explore our Degree Apprenticeships
  • No restrictions on where the degree work is undertaken, meaning learners can undertake at work or in the learners own time, outside of work
  • Suitable for individuals with a first or second class (Hons) bachelors degree and a Maths or Statistics A-Level (or equivalent)
  • Suitable for individuals transitioning careers routes, upskilling or reskilling

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Degree Apprenticeships

  • Companies with an annual salary bill of less than £3m pay 5% of the total course fees, the rest is paid through the Apprenticeship Levy
  • Companies with a wage bill of £3m+ can use funds in their digital account to fund apprenticeships for new and current staff)
  • Learners must be in full-time employment in a relevant role to enrol onto either the BSc or MSc
  • Work-based degree, meaning employers must allocate 20% of work time for learners to study
  • Delivered via online learning, immersive teaching weeks, Cambridge Sparks’ AI-powered assessment and development platform, K.A.T.E.®, Machine Learning Bootcamp in year two

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Data Science MSc (Distance-Learning Degree)

Degrees

Overview

Data Science, in particular, coupled with Artificial Intelligence, promises to provide the tools for enhanced technologies, business models and decision making across a large number of diverse fields, from industrial automation, manufacturing, transport, banking, cybersecurity to health and social care. Through working on real-world datasets and industry-simulated projects, your employees will learn the skills and knowledge required to apply the latest in advanced Data Science tools and techniques to make an impact in any Data Science team.

The course has been co-designed and is co-delivered by Anglia Ruskin University, the largest university in East Anglia.

Your employees will study primarily online via digital learning management systems and attend a hackathon-style bootcamp on Anglia Ruskin University’s Cambridge campus in year two.

Suitable for

The Masters is suitable for new hires, graduates and current employees which already hold a bachelors degree, and can write and execute Python code at an intermediate level.

Duration and start date

Two years, part-time

Starting in September

Course fee

£17,800

Government funding available through our BSc (Hons) Data Science or MSc Digital and Technology Solutions (Data Analytics) or degree apprenticeships

Entry requirements

  • Intermediate level of Python – tested with a proficiency quiz prior to application
  • First or second class honours degree in a scientific discipline (exceptions may apply)
  • At least A level Maths or Statistics (or equivalent)
  • If English is not your first language, you’ll be expected to demonstrate a certificated list of proficiency of at least IELTS 6.5 or above

Applicants not meeting the above requirements may be considered on a case-by-case basis and may require an interview

Delivery

Online via Anglia Ruskin university’s Learning Management System, Canvas, and Cambridge Sparks’ Learning and development platform, K.A.T.E.®

Hackathon-style bootcamp in year two

Modules

  • Advanced Time Series Analysis
  • Machine Learning 
  • Major Project
  • Exploratory Data Analysis
  • Machine Learning Techniques
  • Data Engineering and Big Data
  • Deep Learning and Applications

BSc (Hons) Data Science Degree Apprenticeship

Degrees

Overview

Develop, reward and retain data science talent within your organisation with our Data Scientist Degree Apprenticeship. If you’re looking to grow your internal Data Science capabilities, this degree apprenticeship is a cost-effective way of using the Apprenticeship Levy to develop the data science knowledge and expertise to drive your organisation forward.

This cutting-edge course is taught as a blend of immersive teaching weeks, online study and a hackathon-style bootcamp which simulates real-world environments.

Depending on your business requirements you may also be interested in our Masters level Digital and Technology Solutions Specialist Degree Apprenticeship.

Suitable for

The Bachelors Degree Apprenticeship is suitable for new hires, graduates and current employees which are currently working in relevant roles.

No programming experience is necessary to undertake the programme as candidates will learn Python programming during the course. 

Duration and start date

Four years part-time, work-based

Starting in September

Course fee

£19,000

You can use the Apprenticeship Levy towards the course fees

Entry requirements

  • Full-time employment in a relevant role
  • 96 UCAS tariff points
  • 3 A levels at grade CCC with at least one STEM (Science, Technology, Engineering, Maths) subject. Maths is desirable
  • Applicants will need to have 5 GCSEs at grade C / 4 or above (or equivalent) including Maths and English
  • If English is not your first language, you’ll be expected to demonstrate a certificated list of proficiency of at least IELTS 6.0 or above
  • A suitable computer with an internet connection, together with sufficient IT competence to make effective use of word processing, internet and email, is required

Applicants not meeting the above requirements may be considered on a case-by-case basis and may require an interview

Delivery

Work-based study, online through a combination of Anglia Ruskin University’s Learning Management System, Canvas, and Cambridge Spark’s learning and development platform, K.A.T.E.®, plus immersive teaching weeks and a hackathon-style bootcamp at Anglia Ruskin University’s Cambridge campus

Modules

Year one

  • Introduction to Data Science and Programming
  • Computer and Network Technology
  • Workplace Skills and Learning

Year two

  • Enterprise Analytics
  • Computational Concepts and Algorithms for Data Science
  • Mathematics and Statistics
  • Software Tools and Programming for Data Science
  • Data Engineering
  • Data Application Programming

Year three

  • Principals of Data Science
  • Principals of Artificial Intelligence and Machine Learning
  • Machine Learning and Data Engineering Bootcamp
  • Time Series Analysis

Year four

  • Data Visualisation
  • Deep Learning Techniques and Natural Language Processing
  • Apprenticeship Final Project (including End Point Assessment (EPA))

MSc Digital and Technology Solutions (Data Analytics)
Degree Apprenticeship

Degrees

Overview

Grow and retain specialist data science talent in your organisation with our Masters-level Digital and Technology Solutions Specialist Degree Apprenticeship. Maximise the potential of the Apprenticeship Levy for a cost-effective way to address the emerging demand for big data analytics.

This cutting-edge two-year course is taught via a unique blend of immersive teaching weeks, online study and a hackathon-style bootcamp which simulates real-world environments.

The assignments and assessments for all modules are contextualised to the workplace environment, allowing you to develop your people whilst simultaneously impacting positively on your organisation.

Suitable for

The Masters is suitable for a number of full-time employees working in relevant roles, including new hires, graduates and current employees which already hold a bachelors degree, and can write and execute Python code at an intermediate level.

Duration and start date

Two years part-time, work-based

Starting in September

Course fee

£21,000

You can use the Apprenticeship Levy towards course fees

Entry requirements

  • Full-time employment in a relevant role
  • First or second class honours degree in a scientific discipline
  • At least A level Maths or Statistics (or equivalent)
  • Intermediate level of Python tested via a pre-qualifier quiz
  • If English is not your first language, you’ll be expected to demonstrate a certificated list of proficiency of at least IELTS 6.5 or above
  • Suitable computer with an internet connection, together with sufficient IT competence to make effective use of word processing, internet and email

Applicants not meeting the above requirements may be considered on a case-by-case basis and may require an interview

Delivery

Work-based study, online through a combination of Anglia Ruskin University’s Learning Management System, Canvas, and Cambridge Spark’s learning and development platform, K.A.T.E.®, plus immersive teaching weeks and a hackathon-style bootcamp at Anglia Ruskin University’s Cambridge campus.

Modules

Year two

  • Deep Learning and Applications
  • Advanced Time Series Analysis
  • Machine Learning Bootcamp
  • Major Project

Year one

  • Exploratory Data Analysis
  • Machine Learning Techniques
  • Data Engineering and Big Data

Introducing K.A.T.E.®

Online modules will be delivered via Canvas, Anglia Ruskin University’s digital learning platform; and K.A.T.E.® (Knowledge Assessment Teaching Engine), Cambridge Spark’s AI-powered learning and development platform, which provides instant feedback on code quality within an industry-simulated environment.

K.A.T.E.® develops learners ability to embed their newly-learnt technical skills through instant feedback upon project submissions, personalised content reccomendations, adaptive learning exercises, and metrics to diagnose and effectively benchmark their code – effectively building up their skills to produce production-ready code, whilst reinforcing industry best practices.

K.A.T.E.® Screen

Learn more and start your application

Please complete the below form to receive more information regarding your degree or degree apprenticeships of interest within one working day. Rather schedule a chat with our team at a time that suits you? Click here now to schedule a call.

CALL

+ 44 (0)7816 419378

EMAIL

contact@cambridgespark.com

FAQs

  • There is a recognised significant skills gap in Data Science-based systems specialists in the industry, nationally and internationally. This is despite data scientist roles growing over 650% since 2012, with Machine Learning Engineers, Data Scientists, and Big Data Engineers ranking among the top emerging jobs*.
    *(U.S. Bureau of Labor Statistics).

    Employers have highlighted the importance of data science and its potential to revolutionise a number of industries, from social sciences, physics and engineering to market analysis and banking, while creating significant employment opportunities for data analysts, machine learning specialists and data specialists.

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