BSc (Hons) Data Modelling and Analytics

Year 1

As well as the core of BSc (Hons) Mathematics and Statistics you will take a data analytics module where you will study sophisticated analytics techniques to visualize Big Data using software such as R. These will be applied to database interrogation, social network visualization and sentiment analysis.

Core modules

• BPIE113 Stage 1 Mathematics Placement Preparation

• MATH1601 Mathematical Reasoning

• MATH1602 Calculus and Analysis

• MATH1603 Linear Algebra and Complex Numbers

• MATH1605 Probability with Applications

• MATH1610 Numerical and Computational Methods

• MATH1612 Big Data Analytics for Finance and Social Media

Year 2

Study a range of modules including linear regression and Monte Carlo methods. You’ll also learn how to use statistical and mathematical techniques to evaluate financial problems (such as value at risk, bankruptcies, takeovers, cost of capital, share prices, dividends, and capital asset pricing). This year also provides you with skills in operational research, the mathematical techniques underlying management and decision making.

Core modules

• BPIE213 Stage 2 Mathematics Placement Preparation

• MATH258 Quantitative Financial Modelling

• MATH2601 Advanced Calculus

• MATH2602 Statistical Inference and Regression

• MATH2603 Ordinary Differential Equations

• MATH260 4Mathematical Methods and Applications

• MATH2605 Operational Research and Monte Carlo Methods

Optional placement year

An optional but highly recommended placement provides you with valuable paid professional experience to help make your CV stand out. Typically students are paid around £17,000 and employers have included Fujitsu, GlaxoSmithKline, Liberty Living, Vauxhall Motors, VirginCare, Visteon and Jagex Games Studio.

Core modules

• BPIE331 Mathematics and Statistics Placement

Final year

You will study data modelling topics equipping you with the analytical skills needed by business and industry, together with predictive analytics for forecasting financial data and optimisation for efficient decision making. You will study optimisation. You may undertake a series of mini-projects on analytics topics or work with an analytics expert on a project of your choice such as Big Data or social media sentiment analysis.

Core modules

• MATH3609 Optimisation, Networks and Graphs

• MATH3613 Data Modelling

• MATH3614 Medical Statistics

• MATH3623 Financial Statistics

Optional modules

• ACF302 Investment Management

• MATH3605 Partial Differential Equations

• MATH3622 Analytics in Context

• MATH3628 Project

Every undergraduate taught course has a detailed programme specification document describing the course aims, the course structure, the teaching and learning methods, the learning outcomes and the rules of assessment.