Data Science is the analysis and ability to draw conclusions and insight from data which enables evidence-based decision making.  Data Science is, therefore, a fast growing sector and fundamental to business, the commercial and public sectors. Data Science relies on mathematics and statistics and the models and techniques within these disciplines. Thus, an advanced understanding of Data Science requires a strong mathematical and statistical background.

 

This course has been carefully structured to provide the mathematical and statistical knowledge required to underpin the skills and deep understanding of models that are sought by employers from data scientists. A particular focus of the course is the analysis and solution of real-world mathematical problems in a data science context.

 

Years 1 and 2, on TU874, give a broad basis of subjects in applied and pure mathematics, statistics, and operational research. Introducing mathematical modelling and relevant topics in computing are also important features of years 1 and 2. Years 3 and 4 consist of advanced modules in mathematical modelling, financial mathematics, operations research and mathematical statistics. Many of these modules integrate industry relevant software.

 

Throughout the course, there is an emphasis on computer laboratory-based work and problem-based learning via mathematical modelling, computer programming, computer applications, case studies and problem-solving, and the development of professional skills (e.g. communication skills, effective team-work strategies and project management). The course includes a six-month work placement relevant to data science roles during year 3 enabling students to experience a working environment and gain experience of using their analytical, problem solving and computer skills.