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The MSc Data Science (Mathematics) at the University of Manchester is a one-year, full-time, interdisciplinary program tailored for graduates with a strong mathematical foundation.
It combines advanced training in statistical theory, machine learning, database management, and computational methods, preparing students to apply rigorous mathematical approaches to complex data science problems.
The curriculum develops core skills in data stewardship, project design, and computational analytics across diverse sectors.
Ranking:
Course Overview:
Core:
Statistics and Machine Learning 1: Statistical Foundations
Statistics & Machine Learning 2: Al, Complex Data, Computationally Intensive Statistics
Understanding Databases
Understanding Data and their Environment
Extended Research Project
Optional:
Time Series Analysis and Forecasting
Generalised Linear Models and Survival Analysis
Multivariate Statistics
Longitudinal and Spatial Data Analysis
Stochastic Modelling in Finance
Stochastic Control with Applications to Finance
Extended research project with practical application of statistical and machine learning methods.
Emphasis on computational and interdisciplinary project work.
Exposure to real-world data challenges across mathematics, computer science, health, social sciences, and more.
Application of advanced statistical and computational techniques in collaborative learning environments.
Graduates progress to roles in technology, finance, healthcare, academia, and consultancy.
Strong preparation for PhD study in mathematical data science, statistics, or computational sciences.
High industry demand for mathematically skilled data scientists with computational expertise.
Entry Requirements: High 2:1 honours degreeNo part time studies availableIELTS Academic: 7 overall with no component score below 6.5TOEFL iBT: 100 with no score below 22 in each section.Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data ScientistStatisticianMachine Learning EngineerQuantitative AnalystComputational ScientistData AnalystRisk AnalystResearcherData Science Consultant
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University of Manchester
