MSc Accounting and Finance
The MSc Accounting and Finance program at the University of Greenwich is designed to pr...
MSc Machine Intelligence
Medway Campus
INTAKE: Jan & Sept
Program Overview
The University of Greenwich, located in the UK, offers an MSc program in Machine Intelligence. This program focuses on developing advanced knowledge and skills in artificial intelligence and machine learning.
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Artificial Intelligence Fundamentals: The MSc Machine Intelligence program at the University of Greenwich provides a solid foundation in the principles and theories of artificial intelligence (AI). Students learn about various AI techniques, algorithms, and applications. They explore topics such as machine learning, deep learning, natural language processing, computer vision, and robotics.
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Machine Learning Algorithms: The program delves into the field of machine learning, where students gain a deep understanding of different machine learning algorithms and their applications. They learn how to design, train, and evaluate machine learning models for various tasks, such as classification, regression, clustering, and recommendation systems.
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Neural Networks and Deep Learning: Students explore the concepts and applications of neural networks and deep learning. They learn how to build and train deep neural networks using frameworks like TensorFlow and PyTorch. They also study advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
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Data Mining and Big Data Analytics: The program covers the principles and techniques of data mining and big data analytics. Students learn how to extract valuable insights from large datasets, identify patterns, and make data-driven decisions. They gain hands-on experience with tools and technologies for big data processing and analysis.
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AI Ethics and Responsible AI: The program addresses the ethical and societal considerations of AI. Students explore the ethical implications of AI applications, such as privacy, bias, and fairness. They learn how to develop AI systems that are transparent, accountable, and respectful of ethical standards.
Location
Medway Campus
Score
IELTS 6.5
Tuition Fee
£ 16300
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 87, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 76 with no individual score below 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Greenwich offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize academic excellence, support talented students, and provide financial assistance to those who need it.
- Vice-Chancellor's Scholarship: This scholarship is available to high-achieving undergraduate and postgraduate students who demonstrate academic excellence. It provides a tuition fee discount of up to £5,000.
- International Scholarship: The International Scholarship is aimed at international students applying for undergraduate or postgraduate programs at the University of Greenwich. It offers a tuition fee discount of up to £3,000.
- Sports Scholarships: The university provides Sports Scholarships to talented student-athletes who excel in their chosen sport. These scholarships offer a combination of financial support, access to training facilities, coaching, and other support services.
- Alumni Discount: The University of Greenwich offers an Alumni Discount for postgraduate students who have previously completed a degree at the university. This discount provides a reduction in tuition fees for eligible students.
- External Scholarships:The University of Greenwich provides information and support to students who wish to apply for external scholarships, grants, and funding opportunities offered by external organizations and foundations.
Graduates of the MSc Machine Intelligence program from the University of Greenwich have excellent career prospects.
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AI Engineer: Graduates can pursue careers as AI engineers, developing and implementing AI solutions for various industries. They work on designing and deploying machine learning models, developing AI algorithms, and integrating AI technologies into existing systems.
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Data Scientist: Graduates can work as data scientists, leveraging their knowledge of machine learning and data analysis to extract valuable insights from large datasets. They apply their expertise in statistical analysis, data visualization, and predictive modeling to solve complex business problems.
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AI Researcher: Graduates can pursue research careers in academia or industry, focusing on advancing the field of AI. They contribute to the development of new AI algorithms, explore emerging areas of AI research, and publish their findings in scientific journals and conferences.
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AI Consultant: Graduates can work as AI consultants, providing advisory services to organizations seeking to implement AI solutions. They assess the business needs, identify suitable AI technologies, and develop AI strategies to drive innovation and improve operational efficiency.
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AI Product Manager: Graduates can take on roles as AI product managers, responsible for managing the development and deployment of AI products and services. They work closely with cross-functional teams, understand customer requirements, and ensure the successful delivery of AI solutions.
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AI Ethics Specialist: Graduates can specialize in AI ethics and work as AI ethics specialists or consultants. They help organizations navigate the ethical challenges associated with AI, develop responsible AI practices, and ensure compliance with ethical guidelines and regulations.
