Mathematics and Data Science

About this course

Mathematics and data science is a combination that addresses one of the most significant intellectual and professional demands of contemporary life: the ability to reason rigorously about structure and pattern while also extracting meaningful understanding from the enormous quantities of data that organisations now generate and collect. Mathematics provides the formal foundations, statistical theory, linear algebra, calculus, probability and discrete mathematics, that give data science its analytical depth. Data science adds the computational methods, machine learning, data visualisation, programming and applied statistical modelling, that make those foundations useful in the real world. At Birkbeck College, University of London, this part-time programme is designed specifically for students who need to study alongside work or other commitments. Birkbeck has a long tradition of making r

Where its graduates go

The 5 largest scored destinations, covering 70% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 50% of graduatescards →
• 48 / 100Business and public service associate professionals · 5% of graduatescards →
• 40 / 100Science, engineering and technology associate professionals · 5% of graduatescards →
• 28 / 100Engineering professionals · 5% of graduatescards →
• 8 / 100Protective service occupations · 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).