Applied Data Science FdSc

Data Science is the driving force behind some of our largest global developments and most<br/>fascinating careers. From air pollution prediction to cancer detection and Artificial Intelligence;<br/>data scientists discover the truth behind information and use it to make a tangible difference to<br/>the world we inhabit. <br/>In response to the UKs Digital Skills Gap, where nearly half of businesses are actively searching for digital<br/>talent, were empowering students to become future-ready and emerge as the next generation of digital<br/>experts! Learning in our state-of-the-art business community, Station Quarter, you will hone the skills<br/>needed to build a successful career in Applied Data Science; including computing, machine learning, AI and<br/>wider academic skills. <br/>But why Harper Adams University?<br/>Here at Harper Adams, we’re proud to champion our Digi-Bridge principle, offering a degree programme<br/>that equips you with the essential skills that are often missing from secondary education. This means that<br/>when you step into the ‘real world’, you’ll be thoroughly prepared with a skill set that sets you apart from<br/>other graduates in the field. <br/>The ‘Applied’ in our degree title also isn’t just a label; it’s a commitment to practical learning. We work<br/>closely with industries to create degrees that prepare you to meet the needs of the workforce, now and in<br/>the future — which is why we’ve been the number one University in the UK for career prospects for seven<br/>years running. <br/>Our data science team is made up of industry experts who are deeply engaged in research and sector<br/>developments, ensuring your education is always current, relevant, and tailored to industry needs.<br/>Throughout your time at Harper Adams, you’ll actively participate in real-world business cases, live<br/>hackathons and inspiring ‘TED’-style Talks. This hands-on approach means that every class and workshop<br/>give you skills that can be put to immediate use, setting the stage for a successful career in data science.