Course summary
Develop a thorough understanding of the in-demand artificial intelligence (AI) and natural language processing (NLP) technologies used to translate complex data into actionable business strategies with Lancaster University’s online MSc Data Science.
- Gain hands-on, in-demand expertise: tools used by top data scientists – Python, Hadoop, Spark and PyTorch – are cornerstones of our programme and set you apart with in-demand tech skills.
- Learn at a globally recognised university for data science: Lancaster University ranks among the top 100 universities worldwide for Data Science and Artificial Intelligence in the QS World University Rankings by Subject 2025.
- Leverage core skills in the workplace: academic growth meets practical expertise, as you work alongside our industry partners and gain on-the-job experience during the programme.
- Attend a live, one-hour class online once a week and build a supportive learning community, connecting with academics and peers to develop lasting relationships.
- Complete interactive assignments and view pre-recorded lectures on your own time, using a customisable platform that follows best practices for online learning.
- Access full-spectrum career services including interview prep, one-on-one coaching, job boards and CV templates to help you explore career options.
- Join our robust alumni network upon earning your degree, and become the newest member of a club that’s 170,000 strong in more than 190 countries around the world.
- Connect with a student success adviser who will assist with course planning and serve as your dedicated partner throughout the programme.
- Receive support with our Wellbeing Service and benefit from a range of resources to help you manage a variety of challenges that may be impacting your studies.
- Work with our Disability and Inclusive Practice Services team to ensure that appropriate support and reasonable adjustments for your academic study are in place at the earliest possible stages of your programme.
Entry requirements
A 2:2 Honours degree (UK or equivalent) in any discipline, provided that you have had exposure to quantitative methods such as statistics or mathematical modelling.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Lancaster University
Bailrigg
Lancaster
LA1 4YW