PROGRAMME DETAILS
Download the programme brochure
Learn more about the curriculum, learning experience, career support and outcomes, plus the experts you’ll learn from.
In his own words, Data Engineer Sheldon shares how the Data Science Career Accelerator helped him break into AI and land a role at Capgemini.
Sanya Setia strengthened her data science and AI skills through the Cambridge PACE Data Science Career Accelerator, building a portfolio of projects that helped her secure a role at John Laing with double her previous salary.
Discover how learners on the Data Science Career Accelerator advanced their careers with the Employer Project set by the Bank of England.
LEARNING MODEL
What you’ll experience over seven months
Speak with an Enrolment Advisor to explore your goals, ask questions and decide whether this programme is the right fit for where you want your career to go.
Meet your Success Manager and Career Coach before the programme begins. Together, you’ll define your goals and create a personalised plan for the months ahead.
Progress through four courses with weekly goals, practical activities and expert support. Study on your schedule while staying accountable with personalised guidance from your Success Manager.
Apply your learning to an employer-set project, receive feedback from industry and graduate with a portfolio of practical evidence of what you can do, not just what you know.
Work one-to-one with a Career Coach to strengthen your CV, interview skills, professional confidence and long-term career plan.
Earn a university certificate that demonstrates your commitment, alongside a portfolio of practical projects that show employers how you apply your skills in practice.
Join our Alumni groups to continue learning, build your network and discover new opportunities throughout your career.
CURRICULUM OVERVIEW
What you’ll learn
Each course is purpose-built to give you the practical capability you need to stand out in the industry. You’ll do practical portfolio activities and projects throughout the programme. You’ll finish with a six-week Employer Project – where you’ll apply what you’ve learned to a real-world scenario.
You’ll start with two weeks of Orientation, where you’ll get comfortable with the online learning platform, connect with fellow learners, and plan your studies. You’ll also meet your Success Manager and Career Coach, who will help you personalise your plan of attack to achieve your version of success.
In course one you’ll start to explore the strategic solutions behind complex organisational challenges. You’ll develop advanced critical and statistical thinking skills by identifying patterns in data, and work with statistical techniques to enhance your data representation and model performance. You’ll also design innovative solutions with unsupervised learning techniques.
You’ll continue to build on your problem-solving skills by analysing diverse business scenarios and identifying the key issues. You’ll learn how to inform your decisions with regression, classification, algorithms, and ensemble techniques. You’ll also build advanced machine learning models that develop accurate business predictions and leverage deep learning to extract insights from complex data.
After completing course three, you’ll understand how natural language processing is applied to a range of organisational contexts, and how it can be leveraged to create solutions to business challenges. In this course, you’ll explore time series forecasting techniques in real-world contexts and learn how to ensure the insights you generate lead to informed decision-making and enhanced operational efficiency.
In this final project, you’ll apply everything you’ve learned to solve a challenge faced by a real-world company. It’s an opportunity to tackle real problems, generate value, and gain relevant feedback and experience. You’ll build first-hand knowledge of what it takes to be successful as a data scientist – equipping you to stand out for your next career opportunity. You’ll also explore the future of data science, particularly generative AI applications in business, such as ChatGPT.
OUR EXPERTS
Who you’ll learn from
Learn from university academics, industry leaders and experienced practitioners who bring current challenges, practical insights and real-world experience into every stage of the programme.
Subject experts
To ensure relevance and rigour, the programme content is developed in consultation with both university faculty and industry leaders.
Facilitators
Receive live and on-demand guidance from experienced professionals as you apply new concepts and overcome challenges.
Career coaches
Set yourself up for long-term career success through a mix of one-to-one sessions and interactive masterclasses with your coach.
Graduate with proof of what you can do
Stand out with recognised credentials and practical evidence of your skills.
Earn a university certificate and build a portfolio of data science projects that demonstrate your ability to analyse complex data, apply statistical and machine learning techniques, solve real business problems and communicate actionable insights to stakeholders.
PAYMENT PLANS
Flexible ways to invest in your career
Choose the payment option that works for you. Book a call with an Enrolment Advisor to see if you qualify – chances are, you do.
Once-off
Reduced rate
Benefit from a reduced rate by making payment upfront, in full, before the start of the programme.
£8495
£7,995
6 months
No added fees or interest
Make a 10% deposit of £849 and six monthly payments of
£1,274.33
MONTHLY
12 to 24 months
No added interest
These plans are only available to UK residents and are offered through our finance partner, StepEx.
Make a 10% deposit, with monthly payments starting from as low as
£318.58
MONTHLY
What could you earn in data science?
Data scientists are in very high demand across industries, with opportunities to progress into senior machine learning, AI and data leadership roles.
Up to £70k
Data Scientist
Up to £100k
Senior Data Scientist
£150k+
Head of Data Science or Director of Data Science*
PARTNER WITH US
Could your business be our next industry partner?
Outsource a project
Co-design a business project to get access to ambitious and diverse professionals who are solely focused on solving your problem.
Train your team
We’ll work with you to find a custom solution for your team on all or part of a programme. As learners or mentors, they’ll benefit from relevant skills and university-approved knowledge.
Make recruitment easier
Transform the way you recruit for complex digital roles with exposure to a highly relevant pool of talent and tangible proof of what they’re capable of.
“Working with FourthRev and King’s College London as part of the Employer Project has been valuable to us as an organisation. We were fortunate to work closely with an extremely talented cohort, benefitting from the insights and ideas they shared.”
John Kostovski – Product Manager, Identify, DocuSign
Why learn data science?
Data science has become one of the world’s most in-demand and highest-paying professions. As organisations invest in AI, machine learning and data-driven decision-making, they’re seeking professionals who can turn complex data into actionable insights and business value.
But the role has evolved beyond technical expertise alone. Today’s data scientists combine analytical, AI and machine learning skills with commercial thinking to solve real business problems, influence strategy and drive innovation across every industry.
SKILLS
Develop the skills employers value most
Career Accelerators combine technical expertise with the commercial, professional and personal skills needed for long-term career success.
Technical
Technical knowledge, skills, and experience in high-demand technologies.
Business
The business understanding needed to apply technical skills in a meaningful way.
Employability
Human skills essential for on-the-job performance, promotions, and leadership.
Personal
Self-awareness and reflective capabilities critical for sustained career growth.
One call to know if it fits
Whether you’re starting, changing careers or looking to specialise, a 15-minute call with an Enrolment Advisor is the fastest way to see if this programme matches your goals.