24 monthsProgramme duration
31,600 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Machine learning is changing modern society, transforming industries such as healthcare, finance, and even entertainment. The landscape of machine learning is rapidly evolving, with new developments paving the way for increasingly innovative technological applications.
This course provides you with the advanced knowledge and skills needed to design, develop and deploy machine learning systems. You will learn about the fundamental concepts of machine learning, such as supervised learning, as well as a range of baseline machine learning algorithms, including linear and logistic regression, support vector machines and decision trees. You will also gain an understanding of cutting-edge methodologies, preparing you for a career in a variety of industries, including healthcare, autonomous vehicles, finance, natural language processing and computer vision.
To ensure you’re well-prepared to excel in advanced machine learning studies and research, you will need a strong first degree in a numerate subject such as computer science, mathematics, physics, or engineering. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a solid foundation in programming, particularly in Python.
This course provides you with the advanced knowledge and skills needed to design, develop and deploy machine learning systems. You will learn about the fundamental concepts of machine learning, such as supervised learning, as well as a range of baseline machine learning algorithms, including linear and logistic regression, support vector machines and decision trees. You will also gain an understanding of cutting-edge methodologies, preparing you for a career in a variety of industries, including healthcare, autonomous vehicles, finance, natural language processing and computer vision.
To ensure you’re well-prepared to excel in advanced machine learning studies and research, you will need a strong first degree in a numerate subject such as computer science, mathematics, physics, or engineering. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a solid foundation in programming, particularly in Python.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Machine learning is changing modern society, transforming industries such as healthcare, finance, and even entertainment. The landscape of machine learning is rapidly evolving, with new developments paving the way for increasingly innovative technological applications.
This course provides you with the advanced knowledge and skills needed to design, develop and deploy machine learning systems. You will learn about the fundamental concepts of machine learning, such as supervised learning, as well as a range of baseline machine learning algorithms, including linear and logistic regression, support vector machines and decision trees. You will also gain an understanding of cutting-edge methodologies, preparing you for a career in a variety of industries, including healthcare, autonomous vehicles, finance, natural language processing and computer vision.
To ensure you’re well-prepared to excel in advanced machine learning studies and research, you will need a strong first degree in a numerate subject such as computer science, mathematics, physics, or engineering. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a solid foundation in programming, particularly in Python.
This course provides you with the advanced knowledge and skills needed to design, develop and deploy machine learning systems. You will learn about the fundamental concepts of machine learning, such as supervised learning, as well as a range of baseline machine learning algorithms, including linear and logistic regression, support vector machines and decision trees. You will also gain an understanding of cutting-edge methodologies, preparing you for a career in a variety of industries, including healthcare, autonomous vehicles, finance, natural language processing and computer vision.
To ensure you’re well-prepared to excel in advanced machine learning studies and research, you will need a strong first degree in a numerate subject such as computer science, mathematics, physics, or engineering. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a solid foundation in programming, particularly in Python.
Admission Requirements
3+
62+
7+
100+
120+
- You should have a first or strong second-class Bachelor’s honours degree or international equivalent.
- To apply for this course, you should have an undergraduate degree in a course that incorporates a strong element of programming.
2 Years
Sep
Tuition fees
Domestic
13,400 GBP
International
31,600 GBP
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