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Artificial Intelligence and Machine Learning at University of Birmingham at Edgbaston

Understand the fundamental principles of Artificial Intelligence and Machine Learning. This specialist Artificial Intelligence Masters/MSc programme will allow students to apply their knowledge to real problems.

The past ten years have seen astonishing advances in Artificial Intelligence and Machine Learning that are promising to transfer the way to interpret and use data. These advances are already finding their way into daily lives in areas that include automated language translation, speech recognition and generation, recommender systems, face identification and other applications that people may not even be aware of. It is also allowing people to think about the nature of intelligence from different perspectives to understand the way that humans perform tasks, and to augment and support abilities in areas such as medical diagnostics, where AI techniques are beginning to be used to filter vast medical datasets to provide doctors with new insights that can be used to inform a diagnosis or treatment plan.

On this programme, students  will learn about the fundamental principles of AI and ML and how machines can perceive, explore, and understand the world. Students will extend and apply their knowledge to real problems in a substantial individual project working with one of the University of Birmingham's world-leading researchers, many of whom are working closely with the Alan Turing Institute, the UK national institute for AI and Data Science, of which the University of Birmingham is a member. Students will learn about what current generation AIs can and cannot do, about contemporary challenges, and about societal and ethical considerations so that they can make informed decisions about how AI techniques should be used in the real world.

Students will study a range of compulsory modules and be able to choose from a variety of optional modules, whilst also undertaking an Artificial Intelligence and Machine Learning Project.

Level Masters
Discipline Engineering
Duration 12 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 27540
Campus Edgbaston
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 88
PTE 67
Duolingo Not Required / Waiver
Exam proficiency (minimum)
SAT Not Required / Waiver
ACT Not Required / Waiver
GRE Not Required / Waiver
GMAT Not Required / Waiver
Requirements

Minimum GPA - 75.0%

Rankings
QS Ranking 80
Times Higher Education 101
ARWU 151-200
Webometrics 492
QS Ranking

QS Quacquarelli Symonds is the world’s leading provider of services, analytics, and insight to the global higher education sector, whose mission is to enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility, and career development.

THE Ranking

THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004. We create university rankings to assess university performance on the global stage and to provide a resource for readers to understand the different missions and successes of higher education institutions.

Shanghai Ranking

The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class Universities (CWCU), Graduate School of Education (formerly the Institute of Higher Education) of Shanghai Jiao Tong University, China, and updated on an annual basis

Webometrics Ranking

The "Webometrics Ranking of World Universities" is an initiative of the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain. CSIC is among the first basic research organizations in Europe. The CSIC consisted in 2006 of 126 centers and institutes distributed throughout Spain.

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