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University of Central Lancashire: Applied Data Science
Institution | University of Central Lancashire |
---|---|
Department | School of Engineering and Computing |
Web | http://www.uclan.ac.uk |
cenquiries@uclan.ac.uk | |
Telephone | 01772 892400 |
Study type | Taught |
MSc
Summary
**Immerse yourself in the emerging interdisciplinary field of engineering, computing and statistics. Combine a project-based approach with flexible learning on our MSc in Applied Data Science. The course tackles four key strands of data science learning: data science, artificial intelligence, the Internet of Things, and robotics.**
- The ongoing progress in mathematical tools and automated data acquisition, combined with the growth of very large datasets and computational power, has established data science as a mature discipline with a broad spectrum of applications.
- This course is designed to develop your knowledge and skills in modern data science 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 software engineering, robotics, sensors and instruments
- Learn from an expert team. Many of the course tutors have research interests and experience in the field of data science and its applications. A number of staff are also research active.
- Participate in a School Expo, presenting your project to an external audience including industry representatives. The Expo involves a three-minute competition for your project.
Level | RQF Level 7 |
---|---|
Entry requirements | Applicants should have a 2:2 Honours Degree in relevant area or equivalent industrial experience. Applicants degree should include a Programming Module. Interviews might be required. |
Location | Preston Campus Preston Campus Preston PR1 2HE |
Summary
**Immerse yourself in the emerging interdisciplinary field of engineering, computing and statistics. Combine a project-based approach with flexible learning on our MSc in Applied Data Science. The course tackles four key strands of data science learning: data science, artificial intelligence, the Internet of Things, and robotics.**
- The ongoing progress in mathematical tools and automated data acquisition, combined with the growth of very large datasets and computational power, has established data science as a mature discipline with a broad spectrum of applications.
- This course is designed to develop your knowledge and skills in modern data science 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 software engineering, robotics, sensors and instruments
- Learn from an expert team. Many of the course tutors have research interests and experience in the field of data science and its applications. A number of staff are also research active.
- Participate in a School Expo, presenting your project to an external audience including industry representatives. The Expo involves a three-minute competition for your project.
Level | RQF Level 7 |
---|---|
Entry requirements | Applicants should have a 2:2 Honours Degree in relevant area or equivalent industrial experience. Applicants degree should include a Programming Module. Interviews might be required. |
Location | Preston Campus Preston Campus Preston PR1 2HE |
Summary
**Course Overview**
- Immerse yourself in the emerging interdisciplinary field of engineering, computing and statistics. Combine a project-based approach with flexible learning on our MSc in Applied Data Science. The course tackles four key strands of data science learning: data science, artificial intelligence, the Internet of Things, and robotics.
- The ongoing progress in mathematical tools and automated data acquisition, combined with the growth of very large datasets and computational power, has established data science as a mature discipline with a broad spectrum of applications.
- This course is designed to develop your knowledge and skills in modern data science 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 software engineering, robotics, sensors and instruments
- Learn from an expert team. Many of the course tutors have research interests and experience in the field of data science and its applications. A number of staff are also research active.
- Participate in a School Expo, presenting your project to an external audience including industry representatives. The Expo involves a three-minute competition for your project.
Level | RQF Level 7 |
---|---|
Entry requirements | 2.2 or above in science, technology, engineering and math subjects, or equivalent industrial experience (interviews might be required) |
Location | Preston Campus Preston Campus Preston PR1 2HE |
Summary
**Course Overview**
- Immerse yourself in the emerging interdisciplinary field of engineering, computing and statistics. Combine a project-based approach with flexible learning on our MSc in Applied Data Science. The course tackles four key strands of data science learning: data science, artificial intelligence, the Internet of Things, and robotics.
- The ongoing progress in mathematical tools and automated data acquisition, combined with the growth of very large datasets and computational power, has established data science as a mature discipline with a broad spectrum of applications.
- This course is designed to develop your knowledge and skills in modern data science 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 software engineering, robotics, sensors and instruments
- Learn from an expert team. Many of the course tutors have research interests and experience in the field of data science and its applications. A number of staff are also research active.
- Participate in a School Expo, presenting your project to an external audience including industry representatives. The Expo involves a three-minute competition for your project.
Level | RQF Level 7 |
---|---|
Entry requirements | 2.2 or above in science, technology, engineering and math subjects, or equivalent industrial experience (interviews might be required) |
Location | Preston Campus Preston Campus Preston PR1 2HE |
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