Data Science with Foundation Year BSc (Hons)

Do you want to learn how to work with data and use it to make decisions? Looking for a degree with opportunities to work on real-life scenarios, business challenges and career-relevant problems?<br/><br/>BSc (Hons) Data Science teaches you the skills and knowledge to collect, store, analyse, and present data for different purposes and industries. It gives you the opportunity to learn from knowledgeable academics and industry experts.<br/><br/>In the Foundation Year of this four-year course, you’ll build essential academic study skills. This year will help you gain confidence in your abilities. You’ll also identify your strengths and areas for development. Together, these will prepare you for progression to the undergraduate degree.<br/><br/>**Why study this subject?**<br/>With the modern world increasingly reliant on data-driven decision-making a degree in data science open doors to diverse career opportunities. BSc (Hons) Data Science provides you with in-depth knowledge of statistics, programming languages, and data handling. Equipping you with skills that are in high demand makes you well-positioned to enter the competitive job market.<br/><br/>Data Science is at the forefront of current technological advancements, offering a dynamic and intellectually stimulating career, where you can contribute your skills and make an impact. With great emphasis on developing your employability skills, Data Science provides you with the competence and confidence to pursue and succeed in these roles<br/><br/>**Why study at Buckinghamshire New University?**<br/>At BNU, we always provide our students with opportunities to work on real-life scenarios, business challenges and work-relevant problems whenever we can which is why your experience as a student with us will be so unique.<br/><br/>**What facilities can I use?**<br/>Our computing facilities are regularly upgraded so that you have access to the right hardware, software and technology, to succeed in your studies and to prepare you for employment. <br/><br/>**What will I study?**<br/>The BSc(Hons) Data Science course teaches you how to work with data in a variety of different ways. You will learn how to collect, store, analyse, and present data for different purposes and industries. You will also learn how to use different tools and software to handle data. <br/>This degree will help you acquire a range of transferable skills that are essential for academic and professional success, such as curiosity, critical thinking, adaptability, and research skills. You will also learn how to solve problems and find insights from data. You will learn elements of data visualisation, storytelling and its ethical use, as well as data automation with AI. This will help you understand the role that data-based computing can have in a range of business and industry contexts. <br/>The course gives a balance of theory and practice, with opportunities to apply your knowledge to real or simulated projects and scenarios. You will focus on technical data analysis applications and services for industries that require expertise in data-focused computing sectors, using database development technologies.<br/><br/>**What are my career prospects?**<br/>Employability is at the heart of this degree, with the curriculum strongly influenced by, and based upon, industry expectations of the skills, attributes and competencies needed for university graduates to pursue rewarding careers in different roles and sectors.<br/>With a data science degree, you could work across a broad range of areas, such as:<br/>- Ecommerce<br/><br/><br/>- Finance<br/><br/><br/>- Government<br/><br/><br/>- Healthcare<br/><br/><br/>- Information technology<br/><br/><br/>- Scientific research.<br/><br/><br/>Typical job roles include:<br/>- Applications Architect<br/><br/><br/>- Data Architect<br/><br/><br/>- Data Engineer<br/><br/><br/>- Data Scientist<br/><br/><br/>- Enterprise Architect<br/><br/><br/>- Infrastructure Architect Machine<br/><br/><br/>- Learning Engineer<br/><br/><br/>- Machine Learning Scientist.<br/><br/><br/>For more information, visit our website.