Transform into the AI-fluent data scientist employers need

FAQs

• What is the cost of this programme?

  

  The tuition fee for this programme is £8,395 £7,895* (upfront). Benefit from a reduced rate by making payment upfront, prior to the start of the programme, or ask an Enrolment Advisor about our flexible payment plans.

• Do I need to attend classes at certain times?

  

  The majority of learning requirements can be completed asynchronously, in your own time. While attendance is strongly recommended for live webinar sessions and masterclasses, recordings will be made available at the conclusion of each session.
  
  Live classes run mid-week and outside of standard working hours.

• Why should I choose a Career Accelerator?

  

  Career Accelerators deliver the technical skills needed to perform in real-world roles, the understanding necessary to translate those abilities into meaningful value, the human skills crucial for gaining and retaining jobs, and the reflective capabilities essential for ongoing growth.

• How is the programme delivered?

  

  The programme is delivered entirely online through a virtual learning environment which is accessible from your personal computer or smartphone. Your personal success manager will be available to offer support and guide you through your learning journey.

• What are the entry requirements?

  

  This is an advanced data science programme, therefore there are a few prerequisites before the learner can enrol, these include:

  • an undergraduate degree that features at least one unit of quantitative studies (such as mathematics, statistics, accounting or finance)
  • at least 1 year of work experience in a field broadly related to data or business analytics
  • an IELTS certificate with an overall band score of 7.0 with no less than 7.0 in speaking, listening, and writing, and 6.5 in reading – if English is not your first language
  • Foundational technical skills, which include:
    • the ability to interpret data and analytic output and draw conclusions that help to inform data-driven decision-making
    • basic Python programming skills (if you don't have these skills yet, don't worry, we have a free Python Prep Pathway included to get you prepared).
    • practical experience in accessing, manipulating, querying, and analysing data using a range of software and tools, including Python for data analysis (e.g. NumPy, Pandas, scikit-learn), Python for data visualisation (e.g. matplotlib, seaborn) and SQL
    • knowledge and application of statistical principles for descriptive analysis.

  In some cases, we can be flexible with certain requirements. For example, if you lack an undergraduate degree we may still be able to accept your application if you are able to demonstrate equivalent professional experience.

  If you are unsure whether you meet the requirements, please speak to one of our enrolment advisors.

• What if I don’t have experience with Python?

  

  While a basic understanding of Python is required to begin the programme, many learners arrive from non-technical or cross-disciplinary backgrounds and still succeed. You’ll need basic programming knowledge before enrolling, but you don’t need to have mastered Python yet.

  If you’re newer to Python or simply want a refresher, we provide a structured prep pathway that includes free curated resources and personalised guidance – ensuring you feel confident and prepared from day one. Once you’ve completed the prep, you’ll take a short technical assessment to confirm your readiness.

  This support is available to all learners—whether you’re refreshing your skills or building new ones. It’s all part of our commitment to helping you succeed, starting with your first line of code.

• Do I need to provide any supporting documents?

  

  As part of the application process you will be required to provide a copy of an academic transcript, a one-page CV or LinkedIn profile, an IELTS certificate (if relevant) and a personal statement (up to 500 words). Depending on your education history and work experience you may be required to pass a short technical test.

• What is the role of industry and employer partners in the Career Accelerator?

  

  The employer partners add industry experience to coursework development, share tech expertise, and play a direct role in the portfolio project design. Through their insight into the ever-changing landscape in the digital economy, they ensure students develop skills aligned to workplace demand, equipping them for job opportunities.

• Are there any in-person experiences included in this online programme?

  

  Yes – in addition to the online delivery, all learners are invited to two optional in-person events at the University of Cambridge: a mid-programme networking event at the historic Madingley Hall and an on-campus graduation celebration. These events are a standout highlight for many learners, offering the chance to connect with peers, meet Cambridge academics, and celebrate your next step into data science in an inspiring, world-class setting.