Statistical Data Science

About this course

Statistical data science is a discipline that sits at the heart of how modern organisations make sense of the world. Statistics provides the theoretical foundation: the mathematical frameworks for modelling uncertainty, testing hypotheses, and drawing valid inferences from data. Data science adds the computational and applied dimension, encompassing programming, data wrangling, machine learning, and the practical skills of working with large, complex datasets from many different sources. Together, they produce graduates who can both understand the mathematics of statistical inference and apply it at scale to real-world problems. At Heriot-Watt University, which has a strong reputation in statistics and actuarial science, this four-year programme develops your statistical and computational skills to a high level, building a rigorous mathematical foundation alongside practical competence

Where its graduates go

The 5 largest scored destinations, covering 80% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 10% of graduatescards →
• 62 / 100Secretarial and related occupations · 0% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 55% of graduatescards →
• 55 / 100Administrative occupations · 5% of graduatescards →
• 52 / 100Finance Professionals · 10% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).