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The MSc Data Science at Middlesex University is designed for graduates with backgrounds in mathematical science or computing and offers advanced training in machine learning, visual analytics, data governance, and big data pipeline architecture.
Students develop skills in statistical analysis, experimental design, and the full data science lifecycle, preparing them for data science roles across diverse industries. Full-time students have the option to undertake an industrial placement of 3 to 36 weeks.
Course Overview:
Core:
Al-Enhanced Image processing and computer vlslon
Machine Learning and Al for Data Science
Cloud and Blg Data Technologies
Applied Data Sclence: From Processing to NLP and LLMs
Visual Data Analysis
Legal and Ethical Aspects of Data Science and Al
Research Methods and Postgraduate Project
Preparing for the Professlonal Placement
Optional:
Postgraduate Work Placement
Postgraduate Work Placement (extended)
Teaching: Delivered through lectures, lab sessions, small group discussions, and individual research projects with emphasis on theory and practical application.
Assessment: Assessed via coursework projects, lab tasks, in-class activities, a portfolio of data science tasks, and regular continuous assessments.
Practical experience with Python, scikit-learn, Matlab, Jupyter Notebook, AWS, Apache Hadoop, and Apache Spark.
Industrial placement option (3 months to 36 weeks) for full-time students.
Research project with faculty supervision.
Coursework focused on solving real-world data problems across the full data science lifecycle.
Access to state-of-the-art labs and industry-standard software.
Opportunities for research collaboration in AI, machine learning, and data visualisation.
Regular group tutorials, small group discussions, and lab sessions.
Continuous assessment with regular feedback.
Digital and library resources to support project work and research.
Strong employability support and industry engagement through Middlesex’s professional network.
Graduates are well-prepared for data-driven roles across technology, healthcare, finance, consulting, and biotechnology sectors.
Strong pathway to PhD study in Data Science, Artificial Intelligence, or related fields.
Supports research-based careers in academia or industry.
Part time studies available; 2 yearsScholarships availablePlacement option available for full time students studying at the London campusEntry requirements: A minimum 2:2 honours degree in computer science, or a minimum 2:2 in a relevant subject (such as maths, physics, or engineering), or two or more years of relevant working experience (such as programming, data analytics or machine learning)IELTS: 6.5 (with 6.0 in each component)TOEFL iBT: 79 (Reading min 18, Writing min 21, Listening min 17, Speaking min 20)Your 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 ScientistMachine Learning EngineerData AnalystData EngineerAI SpecialistBusiness Intelligence AnalystData ArchitectDatabase DeveloperData Governance OfficerResearcher
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Middlesex University London
