MSc in Artificial Intelligence and Big Data
Cambridge, United Kingdom
MSc
DURATION
20 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
On-Campus
* 21st of July
Key Summary
Broaden your expertise through the use of Artificial Intelligence (AI) techniques. Gain transferable skills in AI, and boost your employability with an optional 12-week placement.
In a world reliant on data to improve processes and monitor success, our Master's degree in Artificial Intelligence will help you gain the knowledge and skills to improve systems in your industry – or create better ones. It's been designed in response to the high demand for experts in data analysis and modelling.
Study at ARU in Cambridge and build on your existing skills. Our course is suitable for computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis. Before starting the course, we strongly recommended that you have basic programming knowledge of Python.
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 expand the application domain of artificial intelligence.
The need to adapt and incorporate the ever-growing field of AI and its technologies into current business practices is putting 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.
While you're studying with us in Cambridge, we'll encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by ARU. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology.
If you do not have a degree in computing but are interested in studying this subject at the postgraduate level, we also offer an MSc in Applied Data Science. This conversion course will take you through the major building blocks of data science and help you graduate ready for a career in computing.
Year 1
- Semantic Data Technologies
- Advanced Machine Learning
- Research Methods
- Applications of Machine Learning
- Neural Computing and Deep Learning
- Major Project
Companies are looking for graduates with skills in machine learning and artificial intelligence techniques that our Master's degree provides.
After graduating you may wish to apply your skills in job roles where there is a need for AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design or IT project management.
Graduation doesn’t have to be the end of your time with us. You could choose to continue your academic career with a research programme at ARU, such as our PhD in Computer Science or a Professional Doctorate in Science and Technology. Take advantage of our Alumni Scholarship and save £400 on your fees.
