Industry Capstone Projects

From the foundations to final projects, our Applied Data Science cohorts build up practical experience working on a variety of datasets and graduate with an end-to-end data science project on their portfolio.

The final projects are the culmination of everything students have learned since the start of the programme, and a chance to work with a company to tackle real-world data engineering and machine learning problems.


We’re proud to be working with a diverse range of companies in finance, trading, law, bioengineering, agri-tech, real estate and healthcare, to ensure students are exposed to the career opportunities available in different sectors.

   

Some of our industry project partners

Our project partners range from fast growing start-ups and VC funded, series B companies, though to well established organisations with 800+ employees. Project partners include:

  • CausaLens, a London based company building the World’s most powerful data science platform specialising in time-series data. https://www.causalens.com
  • Cambridge Centre for Alternative Finance, an international interdisciplinary academic research institute dedicated to the study of alternative finance: https://www.jbs.cam.ac.uk/faculty-research/centres/alternative-finance/
  • Cytora, a UK-based Insurtech start-up that uses artificial intelligence (AI) and open source data to improve the way insurers quantify, select and price risk. https://cytora.com
  • Featurespace, a world-leader in Adaptive Behavioural Analytics and creator of the ARIC™ platform, a real-time, machine learning software system. https://www.featurespace.com
  • IMC, a technology-driven trading firm with offices in Amsterdam, Chicago and Sydney. https://www.imc.com/eu
  • Nested, a online property service that aims to assist house sellers who are stuck in a property chain and face losing their dream home by selling their property within 90 days. https://nested.com
  • Streetbees, a unique market research company recruiting people from around the world who capture their habits, shopping preferences or political opinions for clients. www.streetbees.com
  • Twosigmas, a Cambridge-based company that specializes in global education solutions. https://twosigmas.com
  • Wavelength, a SRA regulated law firm of Legal Engineers using technology, data, legal analysis, design thinking methods, and teamwork to design and deliver solutions that dramatically improve legal practice. https://www.wavelength.law

Featured Projects

Final projects are classified into core categories, so students focus on a key area of interest and apply techniques that are applicable in their professional work. Here’s a taste of some of the final projects our students work on:

Main Category: Time Series

Explore which features make the most importance in producing good financial models using cutting edge feature selection, big data processing and analysis techniques.

Main Category: Natural Language Processing

Develop a model that can identify and rank common topics across multiple jurisdictions for both microfinance and e-money regulations.

Main Category: Big Data

Get the chance to work on “data science at scale” and extract prototypes of fraudulent transactions from terabytes of data.

Main Category: Deep Learning

Train a classifier to automatically sort photographs into labels, in order to automatically infer details about a property and sort photos into collections.

Looking to transition to a Data Science career?

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