MSc Data Science at Aston University

Programme overview

The MSc Data Science at Aston University gives you an advanced, research informed understanding of data science, combining rigorous theoretical foundations with extensive practical experience. You will explore data analysis, machine learning, statistical modelling, neural networks and modern data science tools, learning how to apply them creatively to solve complex real world problems across multiple sectors.

Faculty: College of Engineering and Physical Sciences | Duration: One year | Study mode: full-time | Intake: January 2027, April 2027, September 2027 | Location: Birmingham, England, United Kingdom

What you will study

Taught stage core modules: AI: Vision and Reality, Applied Machine Learning, Aston Global Advantage, Bayesian Theory and Data Analysis, Neural Networks and Deep Learning, Statistical Machine Learning. Dissertation stage core modules: Dissertation.

Career pathways

Graduates of the MSc Data Science are equipped for a wide range of technical careers across data intensive industries. Potential roles include data scientist, machine learning engineer, data analyst, applied statistician, data engineer, quantitative modeller and AI specialist.

Official programme page

Application information

Entry requirements

One of the following: 2:2 (lower second-class honours) degree or equivalent in mathematics, statistics, computer science or engineering 2:2 (lower second-class honours) degree or equivalent in a non-computing related subject with evidence of mathematics and programming foundations knowledge (i.e., transcript showing mathematics or programming grades at UK 60% or higher) Equivalent overseas degree recognised by Aston University

Domestic applicants: GBP 11,850 a year (2027/28). Annual tuition fees Source

International applicants: GBP 24,800 a year (2027/28). Annual tuition fees Source

Intake: January 2027, April 2027, September 2027

Duration: One year

Apply through the official page: https://www.aston.ac.uk/study/applicant-portal

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