MSc Accounting and Finance
De Montfort University (DMU) in the UK offers an MSc in Accounting and Finance, providi...
Leicester
INTAKE: September
The MSc in Intelligent Systems with Placement Year at De Montfort University provides students with a comprehensive understanding of intelligent systems, machine learning, and artificial intelligence technologies. The program combines theoretical knowledge with practical applications, ensuring that students develop a strong foundation in designing, developing, and implementing intelligent systems in various domains.
Machine Learning: Students gain a solid understanding of machine learning algorithms, techniques, and applications. They study topics such as supervised and unsupervised learning, deep learning, reinforcement learning, and data preprocessing.
Intelligent Agents: The program focuses on intelligent agent design and development. Students learn about agent architectures, decision-making algorithms, and multi-agent systems, enabling them to create intelligent systems that can perceive, reason, and act in dynamic environments.
Natural Language Processing: Students study natural language processing techniques, enabling them to analyze and process human language. They explore topics such as text classification, sentiment analysis, machine translation, and information extraction.
Computer Vision: The program covers computer vision principles and applications. Students learn about image and video processing, object detection and recognition, image segmentation, and visual perception.
Data Analytics: Students explore techniques for analyzing and extracting insights from large datasets. They learn about data preprocessing, feature selection, data visualization, and predictive modeling, enabling them to make data-driven decisions.
Professional Skills Development: The program focuses on enhancing students' professional skills, including problem-solving, teamwork, and communication. Students gain hands-on experience through practical projects and develop the ability to apply intelligent systems principles to real-world applications.
Leicester
IELTS 6.5
£ 17100
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.
These scholarships provide opportunities for talented students to pursue their studies at De Montfort University.
It is important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.
Graduates of the MSc in Intelligent Systems with Placement Year from De Montfort University have excellent career prospects in various sectors that require expertise in intelligent systems and artificial intelligence.
Machine Learning Engineer: Graduates can work as machine learning engineers, specializing in designing and developing machine learning models and algorithms. They work on projects involving data analysis, model training, and deployment of intelligent systems.
Data Scientist: Graduates can pursue careers as data scientists, responsible for analyzing and interpreting complex datasets to extract insights and support business decision-making. They apply machine learning and data analytics techniques to solve real-world problems.
AI Researcher: Graduates can work as AI researchers, contributing to the advancement of artificial intelligence through research and innovation. They explore new algorithms, develop novel approaches, and push the boundaries of intelligent systems.
Intelligent Systems Developer: Graduates can work as intelligent systems developers, creating applications and systems that incorporate artificial intelligence and intelligent agent technologies. They develop intelligent software solutions for various domains, such as healthcare, finance, and robotics.
Data Engineer: Graduates can work as data engineers, responsible for designing and building data pipelines and infrastructures. They work with large datasets, implement data processing systems, and ensure data quality and integrity.