Mathematics for Data Science

About this course

Mathematics for data science is a degree that takes seriously the quantitative foundations on which modern data analysis depends. The explosion of data generated by digital systems, sensors, social media and financial markets has created an extraordinary demand for people who can not only use data analysis tools but understand the mathematical principles that make those tools work, evaluate their outputs critically, and design new approaches when existing ones are inadequate. A mathematics degree specialising in data science gives you exactly this combination of rigour and applicability. At Brunel University London this three-year full-time programme is designed around the understanding, noted in the course description, that big data is a major phenomenon of the present century and that demand is growing for analysts who can collate, interpret and draw real value from complex datasets.

Where its graduates go

The 5 largest scored destinations, covering 75% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 25% of graduatescards →
• 68 / 100Customer service occupations · 5% of graduatescards →
• 55 / 100Administrative occupations · 15% of graduatescards →
• 52 / 100Finance Professionals · 25% of graduatescards →
• 50 / 100Business and Financial Project Management Professionals · 5% 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).