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Pursue a master's degree in this fast-changing discipline. You'll develop a solid grounding in AI technologies and their practical implementation. The curriculum is tailored to match emerging market needs across diverse sectors, encompassing big data, data analytics, machine intelligence, neural networks, and their real-world uses in Visual Computing, NLP, and Digital Security.Why select Kingston UniversityAcquire sought-after expertise relevant to both commercial and government sectors.Customize your qualification with specialized AI electives that match your career goals.Your research thesis lets you explore a chosen topic thoroughly, potentially providing hands-on industry exposure.The Artificial Intelligence MSc delivers an extensive selection of courses covering advanced AI methodologies, frameworks, and practices. These components are carefully crafted to reflect current industry demands across multiple domains such as large-scale data analysis, pattern recognition, intelligent systems, neural networks, and their practical implementations in Image Recognition, Language Technologies, and Information Protection.The program's structure mirrors the standard progression of AI initiatives, promoting methodical skill development. Specialization modules let you concentrate on particular aspects of the field.Numerous postgraduate programs at Kingston University incorporate an optional 12-month industry placement. While the institution assists with placement searches and hosts recruitment events, securing employment remains the student's responsibility; we provide the chance but cannot guarantee placement success. Landing these competitive positions requires significant effort but offers exceptional professional growth. Thorough preparation is essential - employers value strong communication abilities and impressive professional profiles. Since placements form part of the academic assessment, they fall under Student Route visa provisions.
A 2:2 or above honours degree in a relevant area or equivalent in Computer Science, Mathematics, Computing, Creative Computing, Data Science, AI Technologies. For this course you must pass IELTS academic test in English with an overall score of 6.5, with no element below 6.0