MSc Finance
Cranfield University's MSc Finance program is designed to equip students with advan...
Cranfield
INTAKE: October
The MSc Applied Artificial Intelligence program at Cranfield University covers a wide range of topics related to AI and its applications.
Fundamentals of Artificial Intelligence: Students learn the core concepts and theories behind AI, including machine learning, natural language processing, and computer vision.
AI Algorithms and Techniques: The program explores different AI algorithms and techniques used for problem-solving and decision-making.
Data Science and Analytics: Students gain expertise in data analysis and data-driven decision-making, which are crucial for AI applications.
AI Ethics and Governance: The program examines the ethical implications of AI and the importance of responsible AI development.
Machine Learning and Deep Learning: Students delve into machine learning and deep learning techniques, including neural networks and deep neural networks.
AI in Industry: The program focuses on the practical applications of AI in various industries, such as healthcare, finance, manufacturing, and transportation.
AI in Robotics and Automation: Students explore how AI is integrated into robotics and automation systems for enhanced efficiency and productivity.
AI and Big Data: The program covers the use of AI in processing and analyzing big data to extract valuable insights.
AI Project Management: Students learn project management skills required for planning and implementing AI projects.
AI Model Deployment and Evaluation: The program emphasizes the deployment and evaluation of AI models for real-world applications.
Cranfield
IELTS 6.5
£ 26580
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
Cranfield University offers a variety of scholarships and bursaries to help students fund their studies. These scholarships are open to both UK and international students and are awarded based on a variety of factors, such as academic merit, financial need, and professional experience.
It is important to note that eligibility criteria, application requirements, and award amounts vary for each scholarship and bursary.
Graduates of the MSc Applied Artificial Intelligence program have excellent career prospects in a variety of industries.
AI Engineer: Graduates can work as AI engineers, developing AI algorithms and models for specific applications.
Data Scientist: Graduates may pursue careers as data scientists, analyzing data and applying AI techniques for data-driven insights.
Machine Learning Engineer: Graduates can work as machine learning engineers, creating and deploying machine learning models.
AI Research Scientist: Graduates may become AI research scientists, conducting advanced research in AI technologies.
AI Consultant: Graduates can work as AI consultants, providing expertise to organizations on implementing AI solutions.
AI Project Manager: Graduates may pursue careers as project managers, leading AI projects from conception to implementation.
AI Specialist in Healthcare: Graduates can work in the healthcare sector, applying AI for disease diagnosis and treatment planning.
AI Analyst in Finance: Graduates may work in the finance industry, using AI for risk assessment and fraud detection.