MSc Accounting and financial Management
The MSc Accounting and Financial Management course at Royal Holloway University of Lond...
MSc Machine Learning (with a Year in Industry)
Egham Campus
INTAKE: September
Program Overview
The MSc Machine Learning (with a Year in Industry) course at Royal Holloway, University of London is designed to provide students with an in-depth understanding of machine learning concepts and techniques, along with valuable industry experience. This program combines rigorous academic training with a year-long placement in a relevant industry, offering students the opportunity to apply their knowledge in real-world settings.
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Fundamentals of Machine Learning: Students gain a solid foundation in the principles and algorithms of machine learning. They learn about supervised learning, unsupervised learning, reinforcement learning, and deep learning, along with the mathematical and statistical concepts that underpin these methods.
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Data Preprocessing and Feature Engineering: The course covers techniques for data preprocessing and feature engineering. Students learn how to handle missing data, normalize and transform features, and select relevant features to enhance the performance of machine learning models.
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Machine Learning Algorithms: Students explore a wide range of machine learning algorithms, including linear models, decision trees, support vector machines, neural networks, and ensemble methods. They learn how to select and apply appropriate algorithms for different types of problems.
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Deep Learning and Neural Networks: The program delves into the field of deep learning, focusing on neural networks and their applications. Students learn about convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and natural language processing (NLP) techniques.
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Advanced Topics in Machine Learning: Students have the opportunity to delve into advanced topics based on their interests. These may include reinforcement learning, transfer learning, Bayesian machine learning, or time series analysis. They explore cutting-edge research and developments in the field.
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Machine Learning in Practice: The course emphasizes the practical application of machine learning techniques. Students work on real-world datasets and projects, gaining hands-on experience in data preprocessing, model training, evaluation, and deployment.
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Year in Industry Placement: One of the key features of this program is the year-long industry placement. Students have the opportunity to work with leading companies and organizations, applying their machine learning skills in a professional setting. This experience enhances their practical skills, industry knowledge, and employability.
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Research Project: In addition to the industry placement, students undertake a research project in collaboration with academic staff. They have the opportunity to explore a specific research area in machine learning, contribute to ongoing research projects, or develop their own research proposal.
Location
Egham Campus
Score
IELTS: 6.5
Tuition Fee
£ 22000
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 60% to 65% 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.
- PTE Academic: A minimum overall score of 61 with no individual score below 54.
- 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.
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Royal Holloway, University of London offers a range of scholarships to support students in their academic pursuits. These scholarships are designed to recognize excellence and provide financial assistance to eligible students.
- Founder's Scholarship: This is the most prestigious scholarship at Royal Holloway, awarded to undergraduate students who demonstrate exceptional academic achievement and potential. It covers full tuition fees and provides a generous annual stipend.
- Royal Holloway Excellence Scholarship: This scholarship is awarded to undergraduate students based on their academic achievement and potential. It offers a £2,500 tuition fee waiver for each year of study.
- International Excellence Scholarship: This scholarship is specifically for international undergraduate students. It provides a tuition fee reduction of £4,000 per year for the duration of the program.
- Masters Scholarships: Royal Holloway offers a variety of scholarships for postgraduate students, including the RHUL Principal's Masters Scholarship, the RHUL International Excellence Masters Scholarship, and subject-specific scholarships.
- Sports Scholarships: These scholarships are available to students who excel in sports and have the potential to represent the university at a high level. They provide support in the form of financial assistance and access to training facilities.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
The MSc Machine Learning (with a Year in Industry) program offers excellent career prospects in the rapidly growing field of machine learning and AI.
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Data Scientist: Graduates can pursue careers as data scientists, working on complex data analysis projects, developing predictive models, and extracting actionable insights from large datasets.
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Machine Learning Engineer: Graduates can work as machine learning engineers, focusing on developing and deploying machine learning models and algorithms in various applications and industries.
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AI Researcher: Graduates can pursue research positions in academia or industry, contributing to the advancement of machine learning and AI technologies through innovative research and development.
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Data Analyst: Graduates can work as data analysts, leveraging their machine learning expertise to analyze data, identify patterns and trends, and provide valuable insights to organizations.
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AI Consultant: Graduates can work as consultants, advising businesses on how to leverage machine learning and AI technologies to optimize their operations, improve decision-making processes, and drive innovation.
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Product Manager: Graduates can take on roles as AI product managers, overseeing the development and launch of AI-powered products and services, and ensuring their alignment with market needs and business goals.
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Entrepreneur: Graduates with an entrepreneurial spirit can start their own AI-focused startups, leveraging their machine learning skills and industry experience to create innovative solutions and disrupt existing markets.
The MSc Machine Learning (with a Year in Industry) course at Royal Holloway, University of London prepares students for a successful career in the exciting and rapidly evolving field of machine learning. With a strong academic foundation, practical industry experience, and access to cutting-edge research, graduates are well-equipped to make valuable contributions to the field and excel in a range of career opportunities.
