The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
---|---|---|---|---|---|
MSc | Full-time, Part-time | 1 - 3 year | - | - | - |
The MSc Data Science has been designed by leading academics and industry experts to deliver an education that matches the needs of employers. The world of data science and AI is rapidly evolving, and so are we. Lancaster University’s Data Science Institute plays a leading role in UK data science research, which means we continually refine and update our curriculum to make sure you are learning the most modern tools and techniques. As demonstrated by our hundreds of alumni, we develop graduates with the skills and expertise to become professionals that design, test and implement solutions to drive innovation and business decision making. You will gain the confidence to apply data science techniques that enable companies to use artificial intelligence to gain insights and make better decisions.
This flexible Master’s allows you to select modules, guided by pathways, to develop an enhanced understanding of modern data science technologies. The pathways are:
Who is this programme for?
For those interested in gaining insights from data to provide solutions, this Master’s in Data Science is open to anyone with an undergraduate degree, providing you have a good grasp of statistical analysis, ideally to A level standard. You may be a recent graduate or you may wish for a career change.
Looking ahead to employability
The strength of Lancaster’s MSc Data Science is producing graduates with demonstrable experience on their CV. Throughout the course you will network and interact with data science industry professionals through guest lectures, group projects and professional skills workshops. Crucially, you will have the opportunity to work on a real-time project during your 14-week placement with one of our industry partners, choosing techniques and approaches from your data science toolkit to provide answers to their questions.
You will also:
What to expect
Your learning and practical experience is split into three parts.
Study the core modules that span the breadth of data science including the fundamentals of statistics and programming in Python; modern machine learning; and artificial intelligence. This term is essential in providing the foundations for you to advance your knowledge and technical skills in your chosen pathway.
Choose your specialist pathway, selecting optional modules that align with your interests and career goals.
Apply the knowledge and skills you've gained with a 14-week placement or dissertation, either within industry or as part of an academic research project. Our students really value this experience, with many offered jobs at the end. You will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project.
Three things our students would like you to know
Contact Lancaster University to find course entry requirements.
Below are some suggested courses at other providers that you may also be interested in:
If you do not meet the entry requirements for this course then consider one of these postgraduate preparation courses from another institution:
Graduate Diploma of Engineering (Electrical Systems)
Engineering Institute of Technology
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As an international student you may require a valid visa to study at Lancaster University. Read more about the requirements in our Guide to the United Kingdom International Student Visa Requirements.