MSc Applied Data Science (Conversion)

Anglia Ruskin University

Master advanced data science tools and techniques and learn to apply them across a range of industries, with our Applied Data Science conversion degree in Cambridge. Study in the Silicon Fen, known for its tech innovation, and take advantage of ample career opportunities in data science within a vibrant and diverse industry hub. Gain skills in vital areas like data mining, machine learning, and statistical modelling, ensuring a well-rounded grasp of data science. Engage with real-world cases and industry projects that equip you with practical skills aligned with current industry needs. Transition into data science whatever your experience – no computing or data-related degree required. Experience hands-on learning, including projects and in-depth exploration, fostering practical application of data science principles.Data science promises to enhance technology, business models, and decision-making across a range of sectors – from manufacturing to social care and cyber security to banking. There’s strong demand for data scientists. Our Applied Data Science Masters degree will give you the knowledge and analytical skills you need to join this rapidly growing sector. As it’s a postgraduate conversion course, you don’t need a degree in computing or data science to apply. Study at ARU in the centre of Cambridge, and benefit from a week-long placement as part of your course.By studying at ARU, you’ll gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining, and machine learning. You’ll become proficient in advanced data science tools and techniques too – such as deep learning and predictive models – and learn about artificial intelligence.And finally, you’ll complete a data science research project, based on your real-life experiences of working in a part of our University.We’re always focused on the needs of industry and the real-world application of data science. And so, we incorporate real datasets and industry-simulated projects into our course modules. You’ll find this helps you to understand the challenges and constraints that organisations face – and hone your skills and expertise accordingly.

School of Computing and Information Sciences