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University of Lancashire: Data Science
| Institution | University of Lancashire |
|---|---|
| Department | School of Engineering and Computing |
| Web | http://www.lancashire.ac.uk |
| cenquiries@lancashire.ac.uk | |
| Telephone | 01772 892400 |
| Study type | Taught |
Master of Science - MSc (PG)
Summary
Transform your future with our MSc Data Science conversion course. Explore the latest in data analytics, big data, and machine learning tools and techniques.
This course will enable you to expand your skillset, equipping graduates with the tools needed to apply a range of analytical techniques across a broad range of disciplines.
Key modules explore topics like Big Data, Machine Learning, and Data Visualisation, enabling you to to thrive in a fast-evolving digital world.
Graduates of our MSc Data Science course are well-equipped to excel in roles such as data scientist, machine learning engineer, and data analyst, driving innovation and decision-making in a data-driven world.
Why study with us - Develop high-demand Data Science skills with a focus on real-world applications and problem-solving.
-
Take advantage of opportunities to develop your skills and professional network on optional industry placements.
-
Our teaching is informed by research and industry practice. You will learn from internationally recognised researchers and industry experts, enhancing career readiness.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree. |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Transform your future with our MSc Data Science conversion course. Explore the latest in data analytics, big data, and machine learning tools and techniques.
This course will enable you to expand your skillset, equipping graduates with the tools needed to apply a range of analytical techniques across a broad range of disciplines.
Key modules explore topics like Big Data, Machine Learning, and Data Visualisation, enabling you to to thrive in a fast-evolving digital world.
Graduates of our MSc Data Science course are well-equipped to excel in roles such as data scientist, machine learning engineer, and data analyst, driving innovation and decision-making in a data-driven world.
Why study with us - Develop high-demand Data Science skills with a focus on real-world applications and problem-solving.
-
Take advantage of opportunities to develop your skills and professional network on optional industry placements.
-
Our teaching is informed by research and industry practice. You will learn from internationally recognised researchers and industry experts, enhancing career readiness.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree. |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Transform your future with our MSc Data Science conversion course. Explore the latest in data analytics, big data, and machine learning tools and techniques.
This course will enable you to expand your skillset, equipping graduates with the tools needed to apply a range of analytical techniques across a broad range of disciplines.
Key modules explore topics like Big Data, Machine Learning, and Data Visualisation, enabling you to to thrive in a fast-evolving digital world.
Graduates of our MSc Data Science course are well-equipped to excel in roles such as data scientist, machine learning engineer, and data analyst, driving innovation and decision-making in a data-driven world.
Why study with us - Develop high-demand Data Science skills with a focus on real-world applications and problem-solving.
-
Take advantage of opportunities to develop your skills and professional network on optional industry placements.
-
Our teaching is informed by research and industry practice. You will learn from internationally recognised researchers and industry experts, enhancing career readiness.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree. |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview Transform your future with our MSc Data Science conversion course. Explore the latest in data analytics, big data, and machine learning tools and techniques. Our MSc Data Science course is a conversion course aimed at equipping graduates with the skills required to apply a range of analytical techniques across a broad range of disciplines.
Key modules explore topics like Big Data, Machine Learning, and Data Visualisation, unlocking the tools to thrive in a fast-evolving digital world. Graduates of our MSc Data Science course are well-equipped to excel in roles such as data scientist, machine learning engineer, and data analyst, driving innovation and decision-making in a data-driven world.
Why study with us? - There is an emphasis on practical skills. Develop high-demand Data Science skills with a focus on real-world applications and problem-solving.
-
You have the opportunity to apply for an optional industry placement, gaining work experience while studying with us.
-
Our teaching is informed by research and industry practice. You will learn from internationally recognised researchers and industry experts, enhancing career readiness.
What you'll do - You will apply the tools and techniques used in modern data science to build expertise in programming, statistics, and data mining with guidance from industry-active academics.
-
You will develop your analytical skills to solve complex real-world problems in machine learning, big data and data visualisation.
-
You will develop your critical thinking and project management skills as you plan, perform and critically evaluate a substantial data science project.
Future Careers An MSc in Data Science opens doors to careers in machine learning, Data governance and Data Engineering, analysis and visualisation. Discover where Data Science can take you. Graduating with an MSc in Data Science equips you with the skills to work in data centric roles across a broad range of fields like machine learning, healthcare analytics, financial modelling and more. Data science expertise is valued worldwide, giving you the chance to work in thriving industries anywhere.
Graduates on our computing focused courses stand out, equipped with hands-on experience and advanced analytics—skills that employers highly value in this evolving landscape. With career support and industry connections, you’ll be well-equipped to make an impact from day one.
Learning and Assessment We’re committed to flexible learning. Alongside face-to-face lectures, tutorials, practical sessions and guided coursework you'll have access to a range of resources on our online virtual learning environment that support and enrich your independent learning.
Assessment is mainly through portfolio and practical work. Example portfolio pieces include spoken presentation, professional/guided discussion, written exercises, lab demonstrations, case studies (critical analysis) and critical reflections of practical work.
Pathway Opportunities There are opportunities to continue your studies to MPhil or PhD level.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree | Applicants who do not meet the above requirements with relevant qualifications and experience can be considered individually subject to an interview | IELTS: 6.0 with no components lower than 5.5 |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview Transform your future with our MSc Data Science conversion course. Explore the latest in data analytics, big data, and machine learning tools and techniques. Our MSc Data Science course is a conversion course aimed at equipping graduates with the skills required to apply a range of analytical techniques across a broad range of disciplines.
Key modules explore topics like Big Data, Machine Learning, and Data Visualisation, unlocking the tools to thrive in a fast-evolving digital world. Graduates of our MSc Data Science course are well-equipped to excel in roles such as data scientist, machine learning engineer, and data analyst, driving innovation and decision-making in a data-driven world.
Why study with us? - There is an emphasis on practical skills. Develop high-demand Data Science skills with a focus on real-world applications and problem-solving.
-
You have the opportunity to apply for an optional industry placement, gaining work experience while studying with us.
-
Our teaching is informed by research and industry practice. You will learn from internationally recognised researchers and industry experts, enhancing career readiness.
What you'll do - You will apply the tools and techniques used in modern data science to build expertise in programming, statistics, and data mining with guidance from industry-active academics.
-
You will develop your analytical skills to solve complex real-world problems in machine learning, big data and data visualisation.
-
You will develop your critical thinking and project management skills as you plan, perform and critically evaluate a substantial data science project.
Future Careers An MSc in Data Science opens doors to careers in machine learning, Data governance and Data Engineering, analysis and visualisation. Discover where Data Science can take you. Graduating with an MSc in Data Science equips you with the skills to work in data centric roles across a broad range of fields like machine learning, healthcare analytics, financial modelling and more. Data science expertise is valued worldwide, giving you the chance to work in thriving industries anywhere.
Graduates on our computing focused courses stand out, equipped with hands-on experience and advanced analytics—skills that employers highly value in this evolving landscape. With career support and industry connections, you’ll be well-equipped to make an impact from day one.
Learning and Assessment We’re committed to flexible learning. Alongside face-to-face lectures, tutorials, practical sessions and guided coursework you'll have access to a range of resources on our online virtual learning environment that support and enrich your independent learning.
Assessment is mainly through portfolio and practical work. Example portfolio pieces include spoken presentation, professional/guided discussion, written exercises, lab demonstrations, case studies (critical analysis) and critical reflections of practical work.
Pathway Opportunities There are opportunities to continue your studies to MPhil or PhD level.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree | Applicants who do not meet the above requirements with relevant qualifications and experience can be considered individually subject to an interview | IELTS: 6.0 with no components lower than 5.5 |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview Transform your future with our MSc Data Science conversion course. Explore the latest in data analytics, big data, and machine learning tools and techniques. Our MSc Data Science course is a conversion course aimed at equipping graduates with the skills required to apply a range of analytical techniques across a broad range of disciplines.
Key modules explore topics like Big Data, Machine Learning, and Data Visualisation, unlocking the tools to thrive in a fast-evolving digital world. Graduates of our MSc Data Science course are well-equipped to excel in roles such as data scientist, machine learning engineer, and data analyst, driving innovation and decision-making in a data-driven world.
Why study with us? - There is an emphasis on practical skills. Develop high-demand Data Science skills with a focus on real-world applications and problem-solving.
-
You have the opportunity to apply for an optional industry placement, gaining work experience while studying with us.
-
Our teaching is informed by research and industry practice. You will learn from internationally recognised researchers and industry experts, enhancing career readiness.
What you'll do - You will apply the tools and techniques used in modern data science to build expertise in programming, statistics, and data mining with guidance from industry-active academics.
-
You will develop your analytical skills to solve complex real-world problems in machine learning, big data and data visualisation.
-
You will develop your critical thinking and project management skills as you plan, perform and critically evaluate a substantial data science project.
Future Careers An MSc in Data Science opens doors to careers in machine learning, Data governance and Data Engineering, analysis and visualisation. Discover where Data Science can take you. Graduating with an MSc in Data Science equips you with the skills to work in data centric roles across a broad range of fields like machine learning, healthcare analytics, financial modelling and more. Data science expertise is valued worldwide, giving you the chance to work in thriving industries anywhere.
Graduates on our computing focused courses stand out, equipped with hands-on experience and advanced analytics—skills that employers highly value in this evolving landscape. With career support and industry connections, you’ll be well-equipped to make an impact from day one.
Learning and Assessment We’re committed to flexible learning. Alongside face-to-face lectures, tutorials, practical sessions and guided coursework you'll have access to a range of resources on our online virtual learning environment that support and enrich your independent learning.
Assessment is mainly through portfolio and practical work. Example portfolio pieces include spoken presentation, professional/guided discussion, written exercises, lab demonstrations, case studies (critical analysis) and critical reflections of practical work.
Pathway Opportunities There are opportunities to continue your studies to MPhil or PhD level.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree | Applicants who do not meet the above requirements with relevant qualifications and experience can be considered individually subject to an interview | IELTS: 6.0 with no components lower than 5.5 |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
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