MSc in Data Science
A flexible master’s programme combining core data science skills with industry placements and specialist pathways in business, engineering, and biodiversity.
Best for:Best for graduates with a quantitative background (e.g., statistics, computer science, engineering) seeking a career in data-driven industries, with flexibility to specialise in business, engineering, or biodiversity applications.
Overview
The MSc in Data Science at Lancaster University offers a flexible curriculum designed to equip students with modern data science tools and techniques. Students study core modules in statistics, programming (Python and R), machine learning, and artificial intelligence, then specialise through pathways in Business Intelligence, Data Engineering, or Biodiversity. The programme emphasises practical experience, including a 14-week industry placement or dissertation, ensuring graduates can apply data-driven solutions in professional settings. It is ideal for career changers or recent graduates with quantitative backgrounds, fostering employability through industry collaboration and hands-on projects.
What you'll do
- Study core modules covering statistics, Python programming, machine learning, and artificial intelligence to build foundational data science skills.
- Select specialist modules aligned with career goals, choosing from pathways in Business Intelligence, Data Engineering, or Biodiversity.
- Complete a 14-week industry placement or dissertation, applying learned techniques to real-world data science challenges.
- Develop programming skills in Python and R, and gain proficiency in critical thinking and problem-solving.
- Engage with industry professionals through guest lectures, workshops, and collaborative projects to enhance employability.
Requirements
Degree required: A 2:1 honours degree (UK or equivalent) in any discipline, with exposure to quantitative methods such as statistics or mathematical modelling. Applicants with a 2:2 honours degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Life Sciences, Economics, Finance, or Linguistics are strongly encouraged if their degree included relevant quantitative modules.
Language: English; proficiency may be required depending on nationality and prior education (e.g., IELTS or TOEFL scores may be requested).
Instruction: English
- Familiarity with quantitative methods, including statistics or mathematical modelling.
- Basic programming skills or willingness to develop proficiency in Python and R.
- Analytical mindset and problem-solving abilities.
- Open to applicants with an undergraduate degree in any discipline, provided they meet quantitative exposure requirements.
- No nationality restrictions, but English language qualifications may be required for non-native speakers.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through Lancaster University’s official postgraduate portal. Required documents typically include academic transcripts, a CV, a personal statement, and proof of English proficiency if applicable. Check the university’s website for the latest application guidelines and deadlines.
- CV
- Academic transcripts
- Personal statement
- Proof of English proficiency (if required)
- Reference letters (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.