BSc Data Science (with an industrial placement year)
About this course
Data science is the discipline at the heart of the information economy. Society is built on data, and the ability to collect, process, analyse, and extract meaning from large and complex datasets is one of the defining professional skills of the twenty-first century. Data science combines programming, statistical reasoning, machine learning, and domain knowledge to address real-world problems across every sector of the economy, from healthcare and finance to retail, government, and scientific research. It is a field that requires both technical competence and the intellectual flexibility to apply quantitative tools to problems that arise in very different contexts. At the University of Sussex, this four-year full-time programme includes an integrated industrial placement year and a foundation year, making it accessible to students who need to build their mathematical and computational foundations while also giving you a substantial period of professional experience before you graduate. You will develop proficiency in handling data, using computational and statistical methods to solve real-world data-intensive problems, and you will build skills in programming, data visualisation, statistical modelling, and the ethical and practical dimensions of working with data at scale. The industrial placement year is a significant advantage in a field where practical experience is highly valued by employers and where the best routes into industry are often through direct professional engagement during training. Data science graduates are among the most sought after in the current labour market. Roles including data scientist, data analyst, machine learning engineer, data engineer, and business intelligence analyst are common destinations, spanning technology companies, financial services, healthcare, retail, consulting, and the public sector. The combination of statistical and computational skills the degree develops is also valuable in research, government analytics, and academic science. Many graduates continue to postgraduate study to specialise in areas such as machine learning, artificial intelligence, or statistical modelling, and the field evolves rapidly enough that continuous professional development is a feature of data science careers throughout.
Syllabus & Modules
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