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The MSc AI for Business Intelligence at the University of Leicester is a 12–16 month full-time program, with an option to extend to 24–28 months with an industrial placement.
Delivered by the School of Computing and Mathematical Sciences, the program integrates artificial intelligence, data science, and software engineering to develop AI solutions for real-world business problems.
It is specifically designed to bridge the gap between academic knowledge and industry demands.
Teaching: Lectures, workshops, practical projects, guest sessions, and seminars.
Assessment: Written exams, coursework, oral presentations, project reports, and real-world application-based assessments.
Course Structure:
Core Modules:
Fundamentals of Data Science
Statistics for Data Science
Computational Intelligence and Software Engineering
Data Mining and Neural Networks
Final Project: Applied AI and data analytics on real business challenges, often using real-world datasets
Optional Modules:
Topics tailored to business trends in AI, data science, and analytics
Industrial Placement (Optional):
9-11 month paid placement tackling real-world business challenges with placement support provided by the university
Real-World Projects: The curriculum and the final project are designed in collaboration with industry partners such as Santander, Deloitte, Alstom, and City Group.
Industrial Placement (Optional): Hands-on experience in professional environments with real companies to develop business and technical skills.
Industry-Driven Curriculum: Guest lectures, workshops, and modules aligned with current business needs and trends.
Placement Support: Dedicated Placement Tutor and university Careers Service support throughout the process.
Career Prospects: Graduates are well-prepared for roles in AI, business intelligence, analytics, and data science across diverse sectors including finance, consulting, technology, and start-ups.
Industry Links: Collaborations with companies such as Asset Intelligence, City Group, Santander, Deloitte, and Risk Care.
Further Study: The program also provides a foundation for research and PhD-level study.
Entry Requirements: 2:2 degree in Maths or related subject (eg. Physics) or equivalent international qualification. If your background is in computer science we will assess your student transcriptScholarships availableIndustrial Placement option available, extending your course to 24-28 monthsYour 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 ScientistAI EngineerBusiness Intelligence AnalystData AnalystMachine Learning EngineerAnalytics ConsultantData EngineerPredictive Analytics SpecialistSolutions ArchitectTechnology Consultant
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University of Leicester
