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MSc Data Science & Artificial Intelligence

This course provides you with advanced knowledge, methods and processes as an enabler for deploying data science and artificial intelligence. This will lead to solving 21st century world problems with greater scalability and efficiencies.

  • Delivery:
    Full time according to Funding Council definitions, Part-time, Full-time with placement

Why study MSc Data Science & Artificial Intelligence at BU?

  • Learn about recent advances in the fields of data analytics, big data tools and technologies, machine intelligence while concretely experimenting on machine knowledge extraction and decision-support 
  • Use a broad range of data science tools and technologies, from those which are established (MATLAB, R and Weka), to the new favourites which prepare you for mainstream data science jobs (Python, Jupyter notebook, Apache Spark and libraries such as Keras, TensorFlow, and PyTorch) 
  • Graduate with important skills in strategic thinking for scientific research implementation and communication 
  • We’ve established close relationships with companies, research and government agencies that are interested in recruiting skilled graduates in data science and artificial intelligence 
  • Take part in organised codejams/hackathons, visit organisations and work on practical data science and artificial problems. This will support you in establishing an internship or placement  
  • Tailor your learning towards the areas that interest you, with option units covering topics such as neuronal analysis, smart systems, computer vision and Blockchain. 

Find out more about the content of this course.

Career opportunities

You’ll explore various investigative data science and artificial intelligence-based approaches, relevant to the security, environment, human behaviour understanding, transport, health, smart cities sectors and more. You’ll possess the practical skills and theoretical knowledge necessary to enter fields within data science and artificial intelligence. 

Key information

Next start date:

January 2022, September 2022, January 2023, September 2023

Location:

Bournemouth University, Talbot Campus

Duration:

September start: 1 year full-time, 2 years part-time or 2 years full-time with a 30-week placement, January start: 16 months full-time, 32 months part-time or 24 months with a 30-week placement

Required subjects:

Computing, Technology, Maths, Physics, Engineering, Data Sciences or Data Analytics

Entry requirements:

A Bachelors Honours degree with 2:2 in a required subject, or equivalent.

International entry requirements:

If English is not your first language you'll need IELTS 6.0 (Academic), with a minimum of 5.5 in each component. For more information check out our full entry requirements.

Course details

Details of the assessment methods and contact hours for each unit of the course can be found in the programme specification.

Download the programme specification (pdf 271 kb)

Placement opportunities

An exciting and valuable part of your studies with us is the opportunity to gain valuable experience through full-time paid industrial placements, for a minimum of 30-weeks.

This can be undertaken upon completion of the taught and project units.

Find out more about placements for postgraduate students

Your application

Entry requirements

Careers

Upon completion of this course, you will possess the practical skills and theoretical knowledge necessary to enter fields within data science and artificial intelligence. 

Costs and fees

You can find full information about the deposits required and how to pay your fees in our postgraduate fees and funding section, including details of the Postgraduate Loan (subject to fee status).

All fees are quoted in pounds sterling and are per annum. Fees quoted are for tuition only unless stated otherwise. Your tuition fees will be the same for each year of your course.

Find out more about living expenses for postgraduate students

Our staff

On this course you will be taught by staff with relevant expertise and knowledge appropriate to the content of the unit. This could include senior academic staff, qualified professional practitioners and research students, many of whom are actively engaged in research and/or professional practice which is integrated into the teaching of this course. Please note that teaching staff can change.

Statistics shown throughout this page are taken from Unistats and BU institutional data unless otherwise stated.