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Lancaster University: Data Science
| Institution | Lancaster University View institution profile |
|---|---|
| Department | Computing and Communications |
| Web | www.lancaster.ac.uk |
| pgadmissions@lancaster.ac.uk | |
| Telephone | +44 (0)1524 592032 |
| Study type | Taught |
MSc
Summary
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.
- 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 - 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
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:2 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
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.
- 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 - 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
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:2 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. Our MSc programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations.
Studying for an MSc in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics before progressing onto one of our specialist pathways which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices. The specialist pathway modules promote both an enhanced understanding of modern data science technologies and confidence in the application of data science within the business intelligence, health, environmental, or societal sectors. These modules are taught by researchers from across the University, who have expertise in the topics relevant to each of the pathways.
The fundamentals, followed by pathway structure, enables you to tailor the programme either to suit your current career development needs or to take the opportunity to upskill and take your career in a new direction. In addition to these taught modules, you will also undertake a 12-week placement either within industry or as part of an academic research project. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience and demonstrate a firm grasp of the discipline.
The placement project represents a substantial, independent research project. Supervised by an academic specialist, 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. This will be great experience for you to draw upon in an interview and in your career.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. Our MSc programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations.
Studying for an MSc in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics before progressing onto one of our specialist pathways which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices. The specialist pathway modules promote both an enhanced understanding of modern data science technologies and confidence in the application of data science within the business intelligence, health, environmental, or societal sectors. These modules are taught by researchers from across the University, who have expertise in the topics relevant to each of the pathways.
The fundamentals, followed by pathway structure, enables you to tailor the programme either to suit your current career development needs or to take the opportunity to upskill and take your career in a new direction. In addition to these taught modules, you will also undertake a 12-week placement either within industry or as part of an academic research project. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience and demonstrate a firm grasp of the discipline.
The placement project represents a substantial, independent research project. Supervised by an academic specialist, 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. This will be great experience for you to draw upon in an interview and in your career.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Postgraduate Certificate - PgCert
Summary
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. The programme provides a foundation in statistical modelling and data analytical skills; the theories underpinning statistical modelling; programming; data mining and data science as process for gaining insight from data. You can study either full-time or part-time.
Upon successful completion of the modules you may wish to progress to a PGDip or an MSc in Data Science.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. The programme provides a foundation in statistical modelling and data analytical skills; the theories underpinning statistical modelling; programming; data mining and data science as process for gaining insight from data. You can study either full-time or part-time.
Upon successful completion of the modules you may wish to progress to a PGDip or an MSc in Data Science.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Postgraduate Diploma - PgDip
Summary
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. Our PG Diploma programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations.
Studying for a PG Diploma in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics before progressing onto one of our specialist pathways which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices. The specialist pathway modules promote both an enhanced understanding of modern data science technologies and confidence in the application of data science within the business intelligence, health, environmental, or societal sectors. They are taught by researchers from across the University, who have expertise in the topics relevant to each of the pathways.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. Our PG Diploma programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations.
Studying for a PG Diploma in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics before progressing onto one of our specialist pathways which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices. The specialist pathway modules promote both an enhanced understanding of modern data science technologies and confidence in the application of data science within the business intelligence, health, environmental, or societal sectors. They are taught by researchers from across the University, who have expertise in the topics relevant to each of the pathways.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Lancaster University is home to a dynamic postgraduate community and offers a wealth of both taught and research study options across a wide range of subject areas. Studying at Lancaster is all about broadening your horizons, finding new perspectives and discovering new experiences. By living and studying with students and staff from over 130 countries students join a global community and have the opportunity to make international connections.
We are proud to be highly ranked in three major UK league tables. We’ve also been awarded 5 Stars for overall performance in the globally renowned QS World Ratings. The …
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