Overview
The M.Sc. in Artificial Intelligence and Big Data at Anglia Ruskin University (ARU) is meticulously crafted to meet the rising demand for skilled professionals in the AI sector. Located in the innovative hub of Cambridge, often referred to as Silicon Fen, this programme offers students an unparalleled opportunity to engage with cutting-edge technologies and industry leaders. The course is structured to provide a robust understanding of vital AI concepts, including machine learning algorithms, neural computing, deep learning, and Natural Language Processing (NLP). Students will gain practical experience by working with real-world data sets, enhancing their employability and preparing them for a dynamic career in AI.
Why Artificial Intelligence and Big Data at Anglia Ruskin University?ARU is renowned for its strong emphasis on teaching excellence and student support. The university boasts state-of-the-art facilities, including computer labs equipped with the latest industry-standard software and hardware, ensuring that students have access to the tools necessary for their learning. The programme is designed in response to the significant demand for experts in AI and data analysis, making it a timely choice for prospective students. Furthermore, ARU's connections with local industries provide students with opportunities to network and engage with potential employers, enhancing their career prospects.
Tuition Fee Breakdown- £11,100 per year for UK students
- £18,600 per year for international students
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the M.Sc. in Artificial Intelligence and Big Data includes a range of modules that reflect current trends and technologies in the field. Key modules include:
- Semantic Data Technologies (30 credits)
- Advanced Machine Learning (30 credits)
- Research Methods (15 credits)
- Applications of Machine Learning (15 credits)
- Neural Computing and Deep Learning (30 credits)
- Postgraduate Major Project (60 credits)
These modules are designed to provide students with a comprehensive understanding of AI applications and prepare them for the challenges of the industry.
Careers with Artificial Intelligence and Big DataGraduates of the M.Sc. in Artificial Intelligence and Big Data will be well-equipped to pursue a variety of roles in the tech industry. They can expect to find opportunities in sectors such as e-business, IT system development, database management, and project management. The skills acquired during the programme will enable graduates to contribute effectively to AI-enabled business strategies and innovations. Furthermore, ARU supports its alumni with continued career development opportunities, ensuring that graduates remain competitive in the job market.
Programme Structure
Courses include:
- Semantic Data Technologies
- Advanced Machine Learning
- Research Methods
- Applications of Machine Learning
- Neural Computing and Deep Learning
- Major Project
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
- Starting
- Apply before , International
-
ARU suggests applying at least a month before your preferred start date.
Language
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Credits
Delivered
Campus Location
- Cambridge, United Kingdom
Disciplines
Data Science & Big Data Artificial Intelligence View 406 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 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.
- If English is not your first language you will be expected to demonstrate a certificated level of proficiency
Tuition Fees
-
International Applies to you
Applies to youNon-residents18600 GBP / year≈ 18600 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11100 GBP / year≈ 11100 GBP / year
Living costs
Cambridge
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence and Big Data.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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