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University of Lancashire: Machine Learning and the Internet of Things
| 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
Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.
On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:
-
Data science
-
Machine learning
-
Internet of Things
-
Robotics
This course is designed to develop your knowledge and skills in modern machine learning practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.
Why study with us - Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
-
Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
-
Participate in a School Expo, presenting your project to an external audience including industry representatives.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree which includes programming modules |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.
On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:
-
Data science
-
Machine learning
-
Internet of Things
-
Robotics
This course is designed to develop your knowledge and skills in modern machine learning practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.
Why study with us - Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
-
Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
-
Participate in a School Expo, presenting your project to an external audience including industry representatives.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree which includes programming modules |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.
On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:
-
Data science
-
Machine learning
-
Internet of Things
-
Robotics
This course is designed to develop your knowledge and skills in modern machine learning practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.
Why study with us - Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
-
Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
-
Participate in a School Expo, presenting your project to an external audience including industry representatives.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should hold at least 2:2 degree which includes programming modules |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme. On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:
-
Data science
-
Machine learning
-
Internet of Things
-
Robotics
This course is designed to develop your knowledge and skills in modern machine learning practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.
Why study with us - Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
-
Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
-
Participate in a School Expo, presenting your project to an external audience including industry representatives.
What You'll Do - Access world-class facilities and expertise in machine learning, internet of things and related applications.
-
Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides a space for teaching, research and work on real-world projects with commercial partners.
-
You will also have option to contribute to the ongoing biomedical data analytics projects brought about by our collaborative links with the health sector.
Future Careers As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD. Studying Machine Learning and Internet of Things could lead to the following careers:
-
Machine learning engineer
-
Machine learning scientist
-
Data translator
-
Data privacy expert
-
AI ethics officer
-
Data Engineer
-
System engineers
-
Data analyst
-
Data scientist
| Level | RQF Level 7 |
|---|---|
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme. On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:
-
Data science
-
Machine learning
-
Internet of Things
-
Robotics
This course is designed to develop your knowledge and skills in modern machine learning practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.
Why study with us - Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
-
Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
-
Participate in a School Expo, presenting your project to an external audience including industry representatives.
What You'll Do - Access world-class facilities and expertise in machine learning, internet of things and related applications.
-
Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides a space for teaching, research and work on real-world projects with commercial partners.
-
You will also have option to contribute to the ongoing biomedical data analytics projects brought about by our collaborative links with the health sector.
Future Careers As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD. Studying Machine Learning and Internet of Things could lead to the following careers:
-
Machine learning engineer
-
Machine learning scientist
-
Data translator
-
Data privacy expert
-
AI ethics officer
-
Data Engineer
-
System engineers
-
Data analyst
-
Data scientist
| Level | RQF Level 7 |
|---|---|
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme. On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:
-
Data science
-
Machine learning
-
Internet of Things
-
Robotics
This course is designed to develop your knowledge and skills in modern machine learning practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.
Why study with us - Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
-
Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
-
Participate in a School Expo, presenting your project to an external audience including industry representatives.
What You'll Do - Access world-class facilities and expertise in machine learning, internet of things and related applications.
-
Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides a space for teaching, research and work on real-world projects with commercial partners.
-
You will also have option to contribute to the ongoing biomedical data analytics projects brought about by our collaborative links with the health sector.
Future Careers As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD. Studying Machine Learning and Internet of Things could lead to the following careers:
-
Machine learning engineer
-
Machine learning scientist
-
Data translator
-
Data privacy expert
-
AI ethics officer
-
Data Engineer
-
System engineers
-
Data analyst
-
Data scientist
| Level | RQF Level 7 |
|---|---|
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
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