Master of Science - Data Science

The techniques the University of Essex uses to model and manipulate data guide the political, financial and social decisions that shape modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data humans generate and the devices they use to process it can only increase. 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 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.

If students are interested in solving real-world problems, if they like to develop skills to use smart devices efficiently, if they want to use and to foster their understanding of mathematics, and they are interested and keen to use statistical techniques and methods to interpret data, the MSc Data Science at the University of Essex is for them. Students study a balance of solid theory and practical application including: computer science, programming, statistics, data analysis, and probability.

A successful career in data science requires students to possess truly interdisciplinary knowledge, so the University of Essex ensures that students graduate with a wide-ranging yet specialized set of skills in this area. Students are taught mainly within the Department of Mathematical Sciences and the School of Computer Science and Electronic Engineering, but also benefit from input from the University of Essex Business School, and the University of Essex Pathways Department. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so this course can open the door to almost any industry, from health, to government, to publishing.

The Department of Mathematical Sciences is genuinely innovative and student-focused. The research groups are working on a broad range of collaborative areas tackling real-world issues.