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1 Year On Campus Masters Program
Oxford Brookes UniversityThe MSc Data Science and Artificial Intelligence at Oxford Brookes University is designed to develop advanced skills in data acquisition, analysis, and artificial intelligence techniques such as machine learning and neural networks.
The course is suitable for graduates from physical or social sciences with some quantitative background and foundational knowledge in computing, mathematics, or statistics.
The program prepares students for data science and AI roles across diverse sectors.
Teaching: includes lectures, seminars, practical labs, workshops, and team projects.
Assessment: Involves coursework, group assignments, presentations, a dissertation (written report and oral defense), and practical project evaluations.
Course Overview:
Research Methods
Programming and Software Tools
Principles of Data Science
Statistical Modelling
Machine Learning and Data Mining
Group Software Project
Dissertation
Hands-on projects use real-world big datasets, including opportunities to apply learning to workplace data for practical relevance.
Collaborative group software projects simulate workplace teamwork, covering project management, usability, and risk analysis.
Supervised dissertation involves applying advanced analytical and AI techniques to complex, often real or research-based problems, culminating in written and oral presentations.
Opportunities to join the autonomous vehicles team, gaining experience in AI applications for self-driving technologies.
Access to cutting-edge research institutes and facilities, including AI, robotics, computer vision, and cybersecurity labs.
Networking events and industry engagement through the Artificial Intelligence and Data Analytics Network (AIDAN) and Festival of AI.
Graduates leave with a robust portfolio of real-world projects, making them highly employable across sectors like technology, finance, healthcare, and engineering.
The program prepares students for advanced roles, PhD study, entrepreneurial ventures, and R&D careers.
Alumni frequently advance to specialist and leadership positions in AI and data-driven industries.
Part time studies available ONLY for home studentsIELTS: 6.0 overall with 6.0 in all components.TOEFL: Overall 80; R20, L17, S20, W19Scholarships 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.Entry Requirement: 2:2 bachelor's degree in the physical or social sciences where you have developed analytical knowledge and understanding in mathematical sciences.Data ScientistData AnalystStatisticianData EngineerAI SpecialistMachine Learning EngineerBusiness Intelligence AnalystResearch ScientistSoftware DeveloperData Consultant
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