MSc Accounting and Finance
The MSc Accounting and Finance program at Oxford Brookes University is a prestigious an...
Oxford - UK
INTAKE: September
The MSc Artificial Intelligence program at Oxford Brookes University offers students the opportunity to explore the cutting-edge field of AI and develop advanced skills in machine learning, data analysis, and intelligent systems. This program equips students with the knowledge and expertise to tackle complex problems, make data-driven decisions, and develop innovative AI solutions across various industries.
Foundational Knowledge: The program provides a solid foundation in the fundamental concepts of artificial intelligence, including machine learning algorithms, neural networks, natural language processing, and computer vision. Students gain a deep understanding of AI theories and techniques and learn how to apply them to real-world scenarios.
Practical Skills: The program emphasizes hands-on experience and practical application of AI technologies. Students have the opportunity to work with industry-standard tools and platforms, develop AI models, and analyze large datasets. They learn programming languages such as Python and gain expertise in utilizing frameworks like TensorFlow and PyTorch.
Specialization Options: The program offers a range of specialization options, allowing students to focus on specific areas of AI that align with their interests and career goals. Specialization areas may include computer vision, natural language processing, robotics, data mining, or AI in healthcare. Students can choose elective modules and undertake projects related to their chosen specialization.
Collaborative Learning: The program encourages collaborative learning and provides opportunities for students to work in teams on AI projects. Collaborative projects enhance students' ability to work effectively in multidisciplinary teams, simulate real-world work environments, and develop essential teamwork and communication skills.
Ethical Considerations: The program addresses the ethical implications of AI and the responsible use of AI technologies. Students explore topics such as bias, privacy, transparency, and the social impact of AI. They are encouraged to think critically about the ethical challenges associated with AI and develop strategies for ethical AI development and deployment.
Oxford - UK
IELTS 6.5
£ 17200
Postgraduate Entry Requirements:
Students must provide:
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.
Oxford Brookes University offers a range of scholarships to support students in their academic pursuits. These scholarships are designed to recognize excellence, encourage diversity, and provide financial assistance to deserving students.
Oxford Brookes University offers a range of scholarships to support students financially and recognize their achievements. From international scholarships to subject-specific and sports scholarships, the university strives to ensure that talented and deserving students have access to higher education. These scholarships contribute to fostering diversity, promoting academic excellence, and providing opportunities for students to pursue their educational goals at Oxford Brookes University.
Graduates of the MSc Artificial Intelligence program have excellent career prospects in a wide range of industries that are increasingly relying on AI technologies.
Data Scientist: Graduates can work as data scientists, leveraging their AI skills to analyze large datasets, extract insights, and develop predictive models. They can apply AI techniques to solve complex problems and make data-driven decisions in sectors such as finance, healthcare, retail, and technology.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, focusing on developing and deploying AI models and algorithms. They can work on designing and optimizing machine learning pipelines, implementing AI solutions, and integrating AI into existing systems.
AI Researcher: Graduates can pursue research positions, contributing to the advancement of AI technologies. They can work in research institutions, universities, or industry research labs, pushing the boundaries of AI by developing new algorithms, improving existing models, or exploring novel applications of AI.
AI Consultant: Graduates can work as AI consultants, providing expertise and guidance to organizations looking to implement AI strategies. They can help businesses understand how AI can enhance their operations, identify AI opportunities, and develop AI roadmaps aligned with business goals.
AI Entrepreneur: Graduates can embark on entrepreneurial ventures in the AI field, starting their own AI-focused companies or startups. They can develop AI-driven products or services, address specific industry challenges, or provide AI consulting and implementation services to clients.
AI Specialist in Specific Industries: Graduates can specialize in applying AI techniques to specific industries such as healthcare, finance, e-commerce, or manufacturing. They can work closely with domain experts to develop AI solutions tailored to industry-specific needs, such as healthcare diagnosis systems, financial fraud detection, personalized marketing, or smart manufacturing processes.