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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:
Biodiversity
Business Intelligence
Data Engineering
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:
Gain the confidence to successfully speak the language of data science to future employers and colleagues
Develop your programming skills in R and Python
Graduate with the ability to think critically, design solutions, build a rationale and communicate this effectively
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.
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
The practical elements of this course along with the theory make this like no other!
The flexibility of choosing a pathway allows you to focus your career options
Working with other people on group projects is so diverse and enhances your project management and communications skills
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
Biodiversity
Business Intelligence
Data Engineering
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:
Gain the confidence to successfully speak the language of data science to future employers and colleagues
Develop your programming skills in R and Python
Graduate with the ability to think critically, design solutions, build a rationale and communicate this effectively
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.
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
The practical elements of this course along with the theory make this like no other!
The flexibility of choosing a pathway allows you to focus your career options
Working with other people on group projects is so diverse and enhances your project management and communications skills
Admission Requirements
58+
87+
6.5+
2:2 Hons degree (UK or equivalent) in any discipline, provided that the applicant has had exposure to quantitative methods such as statistics, or mathematical modelling.
1 Year
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Data Science MSc
Main campus, Lancaster,, United Kingdom
# 51-100QS Subject Rankings
12 monthsProgramme duration
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
- Biodiversity
- Business Intelligence
- Data Engineering
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.
- Core data science modules
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.- Specialist modules
Choose your specialist pathway, selecting optional modules that align with your interests and career goals.- Industry placement or dissertation
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
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
- Biodiversity
- Business Intelligence
- Data Engineering
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.
- Core data science modules
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.- Specialist modules
Choose your specialist pathway, selecting optional modules that align with your interests and career goals.- Industry placement or dissertation
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
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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Politics BA Hons
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Politics and International Relations (Placement Year) BA Hons
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Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
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Mathematics, Operational Research, Statistics and Economics (MORSE) (Industry) BSc Hons
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Financial Technologies and AI MSc
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Leadership Practice PGCert
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Management MSc
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Defence and Security MA
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Design Management MA
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English Literature MA
English Literature MA
Forensic Linguistics and Speech Science
Forensic Linguistics and Speech Science
History MA
History MA
Language Testing (Online) MA
Language Testing (Online) MA
Language and Linguistics MA
Language and Linguistics MA
Medical Sciences: MSc by Research
Medical Sciences: MSc by Research
Organisation, Work and Technology MRes
Organisation, Work and Technology MRes
Political Ecology MA
Political Ecology MA
Politics and Philosophy MA
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Public Policy MSc
Public Policy MSc
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Global Media and Society MA
Global Media and Society MA
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Languages and Cultures (by Research) MA
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International Commercial and Corporate Law LLM
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Biomedical and Life Sciences MPhil/PhD
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Accounting and Finance PhD
Accounting and Finance PhD
Management (Entrepreneurship and Strategy) PhD
Management (Entrepreneurship and Strategy) PhD
Management (Organisation, Work and Technology) PhD
Management (Organisation, Work and Technology) PhD
Management Science PhD
Management Science PhD
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Marketing PhD
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Organisational Health and Well-Being PhD
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Chemistry PhD
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Materials Science PhD
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Natural Sciences PhD
Natural Sciences PhD
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Communication Systems PhD
Communication Systems PhD
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Health Economics and Policy PhD
Health Economics and Policy PhD
Health Research PhD
Health Research PhD
Mental Health PhD
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Organisational Health and Well-being PhD
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Biological Science PhD
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Health Data Science PhD
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Medical Ethics and Law PhD
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Applied Mathematics PhD
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Mathematical Artificial Intelligence PhD
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Social Statistics PhD
Statistics (Integrated) PhD
Statistics (Integrated) PhD
Statistics PhD
Statistics PhD
Statistics and Operational Research (STOR-i) PhD