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The MSc Business Analytics and Big Data at the University of Liverpool is a 12-month, full-time program designed to develop advanced competencies in data-driven decision-making, business analytics, and big data management.
Students gain expertise in machine learning, data mining, and digital business technologies while applying their skills to real-world problems through a capstone project.
Course Overview:
Core: Data Mining and Machine Learning, Digital Business Technology and Management, Big Data Management, Digital Strategy, Big Data Analytics for Business, Business Simulation and Analysis, MSc Project
Optional: Operations Modeling and Simulation, Service Operations Management, Project and Portfolio Management in Organizations, Global Maritime Logistics, Logistics and Physical Distribution, Enterprise Systems with SAP, Sustainable Supply Chain Management, AI Ethics and Governance
Teaching: Delivered through lectures, interactive workshops, case studies, and project-based learning.
Assessment: Assessed via coursework, examinations, group projects, and the final capstone project.
Master's Consultancy Challenge: Solve real business problems for companies like PwC, Santander, and Decathlon, gaining hands-on industry experience.
ULMS ExECS Award: Develop employability and networking skills through extracurricular workshops and cultural activities.
Industry-Informed Curriculum: Designed with input from partners like PepsiCo, AstraZeneca, IBM, and SAP, ensuring practical relevance.
Work-Based Placements: Opportunities to complete placements with leading companies during your studies.
Capstone Project: Tackle real-world business issues, often in collaboration with industry partners.
Strong career support with one-to-one guidance and analytics-focused workshops.
Close links with global employers support direct industry engagement.
Graduates have secured roles at Amazon, Ericsson UK, and Hampshire Bank Trust in positions like Lead Commercial Analyst and Business Solution Architect.
Supports progression to PhD or further research
Entry Requirements: 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. This degree should be in Physics, Mathematics, Computing, Engineering, Management or closely related disciplines.IELTS: 6.5 overall, with no component below 6.0TOEFL iBT: 88 overall, with minimum scores of listening 19, writing 19, reading 19 and speaking 20. TOEFL Home Edition not accepted.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.The University of Liverpool Management School (ULMS) is one of an elite group of institutions worldwide to hold the gold standard ‘triple-crown’ accreditation from AACSB, AMBA and EQUISMachine Learning EngineerData ArchitectStatisticianData AnalystChief Technology OfficerBusiness Intelligence Consultant
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University of Liverpool
