BSc in
BSc (Hons) in Statistical Data Science Heriot-Watt University Dubai
Introduction
Overview
Statistical data science is at the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analyzing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, computing, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes.
Admissions
Curriculum
Course content
First Year
Calculus; Introduction to Statistical Science, and optional courses including Logic and Proof, Discrete Mathematics and Software Development.
Second Year
Probability and Statistics; Linear Algebra; Actuarial and Financial Mathematics; Real Analysis, and optional courses including Databases and Software Design.
Third Year
Statistical Models; Stochastic Processes; Bayesian Statistics; Survival Models; Statistical Methods for Social Sciences, and optional courses including Artificial Intelligence and Database Management Systems.
Fourth Year
Time Series; Optimisation; Simulation and Statistical Computing; Further Statistical Methods; Foundations of Statistical Machine Learning; Dissertation and options from a wide choice, including Special Topics in Statistical Modelling (e.g. in Epidemiology, Ecology or Finance), Statistical Computing and Data Visualisation Analytics.