our MSc Business Analytics has been reviewed and relaunched as MSc Business Analytics & Artificial Intelligence. You’ll learn how to gain insights from large data sets using Artificial Intelligence (AI), statistical methods, optimisation and machine learning – and apply them to business challenges. This course covers cutting-edge and industry standard analytical techniques, including visualisation (in Tableau), machine learning, statistics and optimisation. Gain a cross-disciplinary training in business models, quantitative methods and data science, and prepare for a future career in an ever-changing business world.The course offers you the opportunity to gain in-depth theoretical and applied knowledge of business analytics, and to provide insights on how to analyse business problems and solve them using a variety of operational research, statistics and machine learning techniques.You will also gain a cross-disciplinary training in business models, quantitative methods and data science by covering descriptive, predictive and prescriptive analytics, and be prepared for working in complex data-driven environments through building up quantitative consultancy skills and developing programming skills.You will also be guided in optionally obtaining certification as Associate Certified Analytics Professional. This globally recognised certification is offered by the INFORMS (USA) and The OR Society (UK), and the required knowledge to pass the certification exam is closely aligned with the core content of this course.
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Warwick Business School
Pilihan kuliah
Purna Waktu
(1 tahun)
Biaya kuliah
£38.150,00 (Rp 772.030.846)
per tahun
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Tanggal mulai
September 2027
Tempat
University of Warwick
University of Warwick,
Coventry,
West Midlands,
CV4 7AL, Central England, United Kingdom
Persyaratan masuk
Untuk mahasiswa internasional
At least a 2:1 degree at Undergraduate level or equivalent. We consider applications from a wide range of degrees including economics, business, engineering, psychology, geography, sociology, and politics. The course requires demonstration of strong numeracy, IT and statistical ability at undergraduate level.
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