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Data Science Academy

Collaboration and Projects

We seek collaboration across all sectors to advance research to inspire and challenge our next generation of data scientists, cybersecurity professionals and AI specialists.

There are several ways you can get involved

​Student projects ​

We can give you access to a large cohort of specialised graduates that are ideal candidates for positions in data science, cybersecurity and AI. As a ”client”, you can propose projects using problems that are close to your core business. This will allow you to assess students in a realistic environment, so you can identify the most successful candidates for your needs and develop a better-equipped workforce for the future. ​

​Watch the following video for an overview of the project process that covers the basics.​

https://youtu.be/H3qpFc5C8kk

​We partner with all industries on research and development, train future data scientists and cybersecurity experts, and connect you with top graduates for real-world project collaboration. If projects are for you and you would like to know more then watch the video below.

https://youtu.be/fy9CPk92i-c

Information for prospective students​

If you, as a student, would like to conduct study on a DSA-based project as you dissertation, please see ​the video below for detailed information about the selection process, content, timeline, academic/industrial​ projects, etc.

The Data Science Academy’s (DSA) External Advisory Board provides advice and guidance on our strategic direction to shape the development and delivery of the initiative. The board’s role is to advise on and support the development the DSA brand, advise on the development of external engagement and advise on the curriculum to support the employability of graduates. Members of the DSA external advisory board will also champion and promote Cardiff University’s Data Science Academy with key external stakeholders (including potential funders) and aid mutually beneficial relationships with other leading organisations.​​

​​Organisations who currently have members on the Board, include:​​

  • Office for National Statistics (ONS)​​
  • Welsh Revenue Authority ​​
  • NHS Wales Informatics Service (WIS)​​
  • Coats​​
  • Tramshed Tech​​
  • British Telecom (BT)​​
  • Admiral​​
  • Dwr Cymru Welsh Water​​
  • Tendertech​​
  • Welsh Government.​
  1. Projects need to be pitched at the right academic level for the students and to allow students to meet the academic aims of the dissertation module. The Academy’s academic team can discuss this with you. The academic team can also advise as to which degree your project might be most suitable for. ​
  2. Projects will be around 10-12 weeks in length and will run roughly from June to September.​
  3. Projects may involve more than one student, but the work each student undertakes will be individual rather than team based.​
  4. In terms of data analysis, it is important that data is available at the start of the project and anonymised to ensure there is sufficient time for the student to mine, clean and analyse the data before writing up the report (dissertation).​
  5. The University has a standard contract which covers Intellectual Property (IP) and confidentiality and this can be used where there may be a need to protect commercial interests. The default is that the industry partner retains the IP.  Talk to us if you have any IP requirements before submitting the project.​
  • ​February - Deadline for submission of dissertation ideas. You may be contacted after this period for clarification or adjustment questions.
  • ​April / May - Confirmation of selected dissertation ideas​.
  • ​June / July - Summer project dissertations start.
  • September / October - Summer project dissertations end.​

​​We also endeavour to look for ways to turn these projects into further funding opportunities.

Our staff members and professional services have expertise in many areas of Data Science, Artificial Intelligence, Cyber Security, Mathematical Modelling, Human Factors and more. We also work with a large interdisciplinary team within the university to provide specialised knowledge in a wide range of topics. We particularly encourage you to approach us with requirements in new systems or methods and data analysis for novel research and development. ​

​We particularly look to support funding application such as INNOVATE UK SMART Grants, Knowledge Transfer Partnerships, Smart Cymru, EPSRC funding and more for applications between £10,000-£5,000,000. Talk to us to put together a team and apply for this funding.​

We welcome talks and workshops for our staff and students on any related subject.  This can include operational talks such as how data helps run a business better and data is being used in any discipline.​

We welcome internships and placement opportunities for our students as well as student placements. These are mostly paid, but we may also have opportunities for a no cost internship (depending on student availability). Contact us for a discussion on timelines and expectations.​

We are looking for sponsoring for our students and staff. This may vary from a one-time award for the best student project, to sponsoring equipment and custom swag (pens, notebooks, mugs etc). We will then promote and advertise the sponsor. Please contact us if you are able to and would like to be a sponsor for the data science academy.