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MSc - Master of Science
Artificial Intelligence (Ai) Database Management
Broaden your expertise through the use of Artificial Intelligence (AI) techniques. In a world reliant on data to improve processes and monitor success, this course will help you gain transferable skills in AI to benefit your work place. It's been designed in response to the high demand for experts in big data analysis and modelling. Choose to take an optional 12-week work placement as part of your course and boost your employability. The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and to expand the application domain of artificial intelligence.
The need to adapt and incorporate the ever-growing field of AI and it’s technologies into current business practices is putting increasing pressure on industries to invest in their legacy systems. Supported by Intel’s AI Academy through their online and data processing resources, the skills you will learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management. This course is designed to build on the skills of computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis, to improve and create better systems in their industries, expanding knowledge of machine learning and enabling technologies. Businesses also have the opportunity to present students on this course with their real life problems through attending as a guest lecturer. We also encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by our University. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology, an advantage to being based in the centre of Cambridge with its Science and Business Park.
How you'll be assessed
Throughout the course, we’ll use a range of assessment methods to measure your progress. You’ll complete exams, essays, research reports, oral presentations, and a dissertation on a subject of your choice.
Cambridgeshire is home to companies that are looking for graduates with skills in machine learning and artificial intelligence techniques that our course will provide. We have chosen the modules for this course to ensure the curriculum reflects the modern trends in Artificial Intelligence. Each module gives you a glimpse into the workings of the IT industry and presents you with topics that prepare you for entering the job market. If you'd like to continue your studies in research or further education, Anglia Ruskin offers a wide range of full-time and part-time postgraduate research degrees including MPhil or/and PhD in Computer Science, or even a DProf in Science and Technology.
For this course (per year)
For this course (per year)
Students need a first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject. Alternatives If they have an unrelated honours degree (2.2 or above) or a foundation degree in Computing, plus work experience at a suitable level, they may be considered on an individual basis. Applicants may be invited for interview to determine their suitability for the course.
Anglia Ruskin University (ARU) has a proud history dating back to 1858, when philanthropist John Ruskin opened the first campus as what was then the Cambridge School of Art. ARU has grown exponentially since then, with four campuses in the East Anglia region. These are in: Cambridge Chelmsford London Peterborough Now students can study a range of subjects at ARU at both undergraduate and postgraduate level, with flexible...more