Students
Get the skills you need to kick start your data science career
Develop your knowledge, qualifications and contacts, build your expertise and experience, and make your career in data science a reality.
The Data Lab Academy
Enhance your employability skills through our Academy’s programme of events, workshops and challenges. Maximise your chances of finding a rewarding career in data science. Full funding is available.
TDL Academy Placements
Get vital real-world experience in industry. We run successful paid placements programmes that link students with some of Scotland’s most innovative companies.
Scholarships
Access funding for your studies and get a full scholarship for our The Data Lab Academy programme.
PhD
If your PhD studies are data/AI-related take up this unique opportunity to apply your academic expertise in one of Scotland’s leading companies.
The Data Lab Community
The Data Lab Community enables data and AI professionals, academics, students and other enthusiasts to connect, collaborate and learn from each other.
Why study data science?
Learning data science allows you to understand and creatively solve a range of key business and social problems. This makes you suitable for a variety of roles in a broad range of growing Scottish industry sectors such as digital technologies, energy and utilities, financial services, public sector, healthcare, urban planning, among many others.
Statistics block
850+
funded Masters students across 12 universities
300+
students placed into industry, many SMEs
36,000
learners registered for online training
“If you learn data science now, then for the next decade, you will have a profession that’s in great demand.”
Why kind of career path might I follow?
There are an increasing number of career pathways and specialisms in the world of data science. Check out these resources by Digital World with qualification guides and possible career options including:
- Data Analyst
- Data Engineers
- Database Administrator
- Machine Learning Engineer
- Data Scientist
- Data Architect
- Statistician
- Business Analyst
- Data and Analytics Manager
Speak to one of our team to help find out what’s right for you
Case studies showing what’s possible with data:
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Driving Value from Data Case Study: NatureScot Supporting a Net-Zero Future
Biodiversity and nature play a key part in meeting climate change and net zero goals. NatureScot is Scotland’s nature agency responding to the twin crises of biodiversity loss and climate change. They work to protect and restore nature by inspiring everyone to value our natural world. Philippa Vigano, Innovative Technologies Programme Manager, recently completed our […]
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Data Leaders Case Study: Social Bite
Beginning life as a small café in Edinburgh in 2012, Social Bite has become an internationally renowned charity, supporting people facing homelessness or facing barriers to employment. In the last decade, it has also established several programmes, such as The Social Bite Village, free food provision, and globally renowned campaigns including Sleep in the Park. […]
News about Professional Development:
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ChatGPT: Hype vs Reality – Answering our Event Follow-up Questions
Our recent event, “ChatGPT: ‘Next Big Thing’ or passing trend?” sparked a lively discussion on the potential impact of this ground-breaking AI technology on society and the future of work. Joining us on our panel was Dr Gina Helfrich, from the Centre for Technomoral Futures at Edinburgh Futures institute, Alex Velinov, CTO at Tag Digital, […]
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Our CEO Brian Hills addresses our obligations in the era of AI
In this editorial, our CEO Brian Hills discusses the news headlines that claim AI could lead to the extinction of humanity. The opinions on AI have always been split between those who believe that it can improve our lives and those who fear that it will eventually take over our jobs and lead to an […]
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The Data Lab CEO recognised as an influential data leader
Brian Hills, the CEO of The Data Lab, has been included in the DataIQ 100 – a power list of the most influential people in data and analytics – for the second consecutive year. The annual list, published following an awards ceremony on 2 March, includes an enviable who’s who of the data sector, as […]
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