Overview
The MSc in Data Science and Artificial Intelligence at Oxford Brookes University is designed to impart crucial skills for gathering, processing, and analysing data through advanced AI techniques. Students will explore theoretical foundations and practical applications, preparing them for the demands of the modern workplace. The rapid growth of data across various sectors presents both challenges and opportunities. One key challenge is effectively utilising this vast array of data to derive insights that enhance product and service quality. In this context, Artificial Intelligence becomes a pivotal tool for interpreting data and creating intelligent systems that can autonomously learn and support organisations in making informed strategic decisions.
Why Data Science and Artificial Intelligence at Oxford Brookes University?Oxford Brookes University is renowned for its innovative approach to education, particularly in the field of data science. The university boasts state-of-the-art facilities, including dedicated labs for computing and robotics, which enhance the learning experience. The curriculum integrates real-world scenarios, allowing students to work with actual data sets, thus bridging the gap between theory and practice. Additionally, the university's strong industry connections facilitate valuable partnerships, providing students with unique insights and opportunities in the field.
Tuition Fee BreakdownThe tuition fees for the MSc in Data Science and Artificial Intelligence are as follows:
- International students: £18,350 per year
- Home (UK) students: £9,700 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe course comprises a modular structure, allowing for flexibility in learning. Students will complete six taught modules, each worth 20 credits, alongside a dissertation worth 60 credits. The modules include:
- Research Methods
- Programming and Software Tools
- Principles of Data Science
- Statistical Modelling
- Machine Learning and Data Mining
- Group Software Project
The dissertation provides an opportunity for students to engage deeply with a data science topic of their choice, applying their knowledge and skills in a practical context.
Industry DemandThe demand for professionals skilled in data science and AI is rapidly increasing. With the ongoing digital transformation, organisations across various sectors are seeking experts who can analyse and interpret vast amounts of data. The global market is experiencing a significant shortage of qualified individuals in this field, creating ample career opportunities for graduates. Data scientists, analysts, engineers, and statisticians are among the roles that are increasingly vital in today’s data-driven economy.
Careers with Data Science and Artificial IntelligenceGraduates of the MSc programme are well-prepared for careers in diverse industries. They often find positions as Data Scientists, Data Analysts, and Data Engineers, working in sectors such as finance, healthcare, and technology. The skills acquired during the course enable alumni to tackle complex data challenges, contribute to strategic decision-making, and drive innovation within their organisations.
Programme Structure
Courses include:
- Group Software Project
- Machine Learning and Data Mining
- Statistical Modelling
- Data Science
- Programming and Software Tools
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Most postgraduate courses recruit year-round
Language
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Credits
Delivered
Campus Location
- Oxford, United Kingdom
Disciplines
Data Science & Big Data Artificial Intelligence View 380 other Masters in Artificial Intelligence in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- To join this course you'll need a 2:2 bachelor's degree in the physical or social sciences where you have developed analytical knowledge and understanding in mathematical sciences.
- Typically this includes applicants with knowledge and familiarity with basic computing, mathematics and statistics concepts and methods at bachelor's degree level.
- Applicants with other qualifications, plus work experience from other fields, who have quantitative skills and familiarity with data analysis and modelling ideas will also be considered.
Tuition Fees
-
International Applies to you
Applies to youNon-residents19600 GBP / year≈ 19600 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents9950 GBP / year≈ 9950 GBP / year
Living costs
Oxford
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 Data Science and Artificial Intelligence.
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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