Data Science is a growing and important field of study with a fast growing number of jobs and opportunities within the private and public sector. The theory and methodology of Data Science can be described as the intersection of computer science, statistics and operations research. The application of theory and methods to real world problems and applications is at the core of Data Science, which aims especially to use and to exploit Big Data. The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. If you are interested in solving real world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics and you are interested and keen to use statistical techniques and methods to interpret data, Data Science at Essex is for you. A balance of solid theory and practical application, this course builds your knowledge in relevant areas of computer science, statistics, data analysis and probability. The course offers conversion modules in statistics and programming to help you to build the right level of knowledge in these areas.

Courses within our Department of Mathematical Sciences are tailored to meet the needs of you and your potential employers. An essential mathematical core in each of our taught courses is supplemented by a range of our modules and those offered by other departments and schools, which are as varied as Biological Sciences, Computer Science and Electronic Engineering, Economics, Essex Business School, and Psychology. The mathematical and technical knowledge, coupled with career and employability skills that you acquire studying with us, means you become a well-rounded graduate, ready for a work environment that matches your studies, whatever that may be. Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors.