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Applied Data Science (Degree Apprenticeship) at University of Buckingham - UCAS

Course options

2025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Open days

14May
Postgraduate Open Evening
Postgraduate

Course summary

The University of Buckingham is:

  • Home of the two-year degree, the University of Buckingham, based in the South East of England, is ranked 6th for Student Satisfaction in the UK (National Student Survey, 2020).
  • We are proudly independent and not-for-profit, and offer courses in Allied Health, Business, Computing, Education, Humanities, Law, Medicine, Psychology and Security and Intelligence. We are one of the few universities in the UK that offer September and January start dates for almost all of our courses.
  • Based in Buckingham on a riverside campus, we are only 20 minutes’ from Milton Keynes central station and a short drive from Bicester, Aylesbury, Banbury and Northampton. There is free parking on-site and we are within easy reach of London and Oxford.
  • Our award-winning small class tutorials ensure every student is known by name and supported throughout their studies, including by dedicated personal tutors.
  • As pioneers of the two-year degree, we offer a condensed version of the traditional three-year degree, meaning you can gain a full honours degree and complete your studies a whole year earlier. Alternatively, you can complete both your undergraduate and master’s degree with us in just three years: saving you time and money.
Data Science handles big data from capturing, storing, processing, visualising and analysing data to discover insights for strategic decision-making. These solutions can include data mining, machine learning, advanced analytics, data visualisation and in-database analytics. Data Science has applications in banking, education, finance, food and beverage, healthcare, hospitality, insurance, logistics, oil and gas, public services, retail, transport, telecom, and sales and marketing to name a few. The MSc Applied Data Science (Degree Apprenticeship) is a specialist master’s level (Level 7) integrated degree apprenticeship aligned to the Data Analytics Specialist specialism of the Level 7 Digital and Technology Solutions Specialist (Integrated Degree) apprenticeship standard (L7 DTSS). This MSc programme is designed to train apprentices to become confident and competent data scientists who can lead, implement and deliver technological strategic solutions to achieve organisational goals in a range of different scenarios and sectors. A distinctive feature of the programme is the focus on inclusive leadership and innovation to train apprentices to be well-rounded and inspiring leaders in their respective organisations. On successful completion of the MSc Applied Data Science (Degree Apprenticeship) programme, apprentices are expected to be confident and competent in playing a leading role in data science projects, delivering business value to their organisation. Programme Start Dates and Duration The MSc Applied Data Science (Degree Apprenticeship) has two entry points to suit the needs of apprentices and employers: October and January. The total duration of the programme is 21 months, which includes 18 months of training and up to 3 months to complete the final assessments, including the End-Point Assessment (EPA). During 18 months of training, the apprentice spends a minimum of one day per week Off-the-Job-Hours on training. On successful completion of the training period, the apprentice will enter Gateway to complete the End-Point Assessment (EPA) of the degree apprenticeship and final assessment of the MSc programme.

Modules

Research Methods (RMET) Mathematics and Statistics for Data Analysis (MSDA) Scripting for Data Analysis (SCDA) Data Exploration and Visualisation (DEAV) Systems and Tools for Data Science (STDS) Leadership and Innovation in Data Science (LIDS) Work-based Dissertation (WBDS) Degree Apprenticeship Project (DAPR)

Assessment method

A range of assessment techniques are utilised throughout the degree programme to allow apprentices to demonstrate achievement of the competencies. Individual and group work, presentations, portfolios, quizzes, projects, reflective statements, posters, professional discussions, and viva are examples of the assessment methods of the programme. The assessment of individual modules within each course varies according to the subject. Please check the module information for more details. As an integrated degree apprenticeship, apprentices who successfully complete the overall programme receive two awards:

  • MSc Applied Data Science (Degree Apprenticeship) from The University of Buckingham.
  • Degree Apprenticeship Certificate from ESFA.
The MSc programme is assessed and graded according to the details in the programme and module specifications following the University’s Regulations. The Apprenticeship is assessed and graded as per the L7 DTSS End-Point Assessment Plan. Apprentices must pass both the MSc programme and the apprenticeship (EPA) to receive the two awards. One award cannot be achieved without passing the other.

Entry requirements

2:1 (or above) honours degree in Computing, Engineering, Physics or Mathematics. If your first language is not English, you will also need an IELTS score of 6.5 with at least 6.0 in each component.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Fees to be confirmed
Applied Data Science (Degree Apprenticeship) at University of Buckingham - UCAS