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Broaden your understanding of cutting-edge topics in artificial intelligence and learn how to apply these methods to scientific problems across a variety of research fields.
Course description
Our MSc Artificial Intelligence for Science course explores the theoretical and practical skills needed to use artificial intelligence to solve scientific problems.
This course offers a unique opportunity for students from diverse scientific backgrounds to gain insights across scientific disciplines. It’s designed for science graduates looking to develop skills in artificial intelligence and machine learning, as well as engineering graduates looking to apply their software engineering skills in a scientific field.
You’ll develop an understanding of how to apply techniques from artificial intelligence, machine learning, data engineering and data science; learning how to use computer programs to address scientific problems in relevant languages such as Python and R. You’ll also gain experience in data analysis and visualisation, using appropriate software to discover, interpret and evaluate the data patterns emerging from research.
You’ll build upon this knowledge by investigating the major trends and contemporary issues related to applying artificial intelligence to problems arising within science; honing your critical thinking abilities as you examine ethical, social and environmental considerations.
You'll gain specialist knowledge and skills relevant to your interests and career aspirations through a range of optional modules, allowing you to focus on the topics that are most important to you. You’ll have the opportunity to choose from topics such as advanced statistical methods, computational modelling and the applications of artificial intelligence for science.
One of the biggest parts of your degree is your dissertation. You’ll carry out a computational research project, either independently or as part of a small team contributing to a larger research challenge. Working under the guidance of an academic supervisor, you’ll produce an original piece of research, with the opportunity to choose from a diverse range of topics across science. You’ll review research literature, plan and conduct research, analyse data, and gain experience communicating your findings verbally and in writing.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Broaden your understanding of cutting-edge topics in artificial intelligence and learn how to apply these methods to scientific problems across a variety of research fields.
Course description
Our MSc Artificial Intelligence for Science course explores the theoretical and practical skills needed to use artificial intelligence to solve scientific problems.
This course offers a unique opportunity for students from diverse scientific backgrounds to gain insights across scientific disciplines. It’s designed for science graduates looking to develop skills in artificial intelligence and machine learning, as well as engineering graduates looking to apply their software engineering skills in a scientific field.
You’ll develop an understanding of how to apply techniques from artificial intelligence, machine learning, data engineering and data science; learning how to use computer programs to address scientific problems in relevant languages such as Python and R. You’ll also gain experience in data analysis and visualisation, using appropriate software to discover, interpret and evaluate the data patterns emerging from research.
You’ll build upon this knowledge by investigating the major trends and contemporary issues related to applying artificial intelligence to problems arising within science; honing your critical thinking abilities as you examine ethical, social and environmental considerations.
You'll gain specialist knowledge and skills relevant to your interests and career aspirations through a range of optional modules, allowing you to focus on the topics that are most important to you. You’ll have the opportunity to choose from topics such as advanced statistical methods, computational modelling and the applications of artificial intelligence for science.
One of the biggest parts of your degree is your dissertation. You’ll carry out a computational research project, either independently or as part of a small team contributing to a larger research challenge. Working under the guidance of an academic supervisor, you’ll produce an original piece of research, with the opportunity to choose from a diverse range of topics across science. You’ll review research literature, plan and conduct research, analyse data, and gain experience communicating your findings verbally and in writing.
Admission Requirements
Minimum 2:1 undergraduate honours degree in a relevant subject. Subject requirements We accept degrees in the following subject areas: - Biosciences - Chemistry - Computer Science - Engineering - Environmental Science - Geography - Mathematics - Neuroscience - Physics - Psychology English language requirements IELTS 6.5 (with 6 in each component) or University equivalent.
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:
Artificial Intelligence for Science MSc
Western Bank, Sheffield,, United Kingdom
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
Broaden your understanding of cutting-edge topics in artificial intelligence and learn how to apply these methods to scientific problems across a variety of research fields.
Course description
Our MSc Artificial Intelligence for Science course explores the theoretical and practical skills needed to use artificial intelligence to solve scientific problems.
This course offers a unique opportunity for students from diverse scientific backgrounds to gain insights across scientific disciplines. It’s designed for science graduates looking to develop skills in artificial intelligence and machine learning, as well as engineering graduates looking to apply their software engineering skills in a scientific field.
You’ll develop an understanding of how to apply techniques from artificial intelligence, machine learning, data engineering and data science; learning how to use computer programs to address scientific problems in relevant languages such as Python and R. You’ll also gain experience in data analysis and visualisation, using appropriate software to discover, interpret and evaluate the data patterns emerging from research.
You’ll build upon this knowledge by investigating the major trends and contemporary issues related to applying artificial intelligence to problems arising within science; honing your critical thinking abilities as you examine ethical, social and environmental considerations.
You'll gain specialist knowledge and skills relevant to your interests and career aspirations through a range of optional modules, allowing you to focus on the topics that are most important to you. You’ll have the opportunity to choose from topics such as advanced statistical methods, computational modelling and the applications of artificial intelligence for science.
One of the biggest parts of your degree is your dissertation. You’ll carry out a computational research project, either independently or as part of a small team contributing to a larger research challenge. Working under the guidance of an academic supervisor, you’ll produce an original piece of research, with the opportunity to choose from a diverse range of topics across science. You’ll review research literature, plan and conduct research, analyse data, and gain experience communicating your findings verbally and in writing.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Broaden your understanding of cutting-edge topics in artificial intelligence and learn how to apply these methods to scientific problems across a variety of research fields.
Course description
Our MSc Artificial Intelligence for Science course explores the theoretical and practical skills needed to use artificial intelligence to solve scientific problems.
This course offers a unique opportunity for students from diverse scientific backgrounds to gain insights across scientific disciplines. It’s designed for science graduates looking to develop skills in artificial intelligence and machine learning, as well as engineering graduates looking to apply their software engineering skills in a scientific field.
You’ll develop an understanding of how to apply techniques from artificial intelligence, machine learning, data engineering and data science; learning how to use computer programs to address scientific problems in relevant languages such as Python and R. You’ll also gain experience in data analysis and visualisation, using appropriate software to discover, interpret and evaluate the data patterns emerging from research.
You’ll build upon this knowledge by investigating the major trends and contemporary issues related to applying artificial intelligence to problems arising within science; honing your critical thinking abilities as you examine ethical, social and environmental considerations.
You'll gain specialist knowledge and skills relevant to your interests and career aspirations through a range of optional modules, allowing you to focus on the topics that are most important to you. You’ll have the opportunity to choose from topics such as advanced statistical methods, computational modelling and the applications of artificial intelligence for science.
One of the biggest parts of your degree is your dissertation. You’ll carry out a computational research project, either independently or as part of a small team contributing to a larger research challenge. Working under the guidance of an academic supervisor, you’ll produce an original piece of research, with the opportunity to choose from a diverse range of topics across science. You’ll review research literature, plan and conduct research, analyse data, and gain experience communicating your findings verbally and in writing.
Admission Requirements
Subject requirements We accept degrees in the following subject areas:
- Biosciences - Chemistry - Computer Science - Engineering - Environmental Science - Geography - Mathematics - Neuroscience - Physics - Psychology
English language requirements IELTS 6.5 (with 6 in each component) or University equivalent.
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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