MSc Accounting and Finance
The MSc Accounting and Finance program at Teesside University is designed to equip stud...
Middlesbrough
INTAKE: Jan & Sept
The MSc Artificial Intelligence program with Advanced Practice at Teesside University is a comprehensive and hands-on program that provides students with a deep understanding of AI technologies and their practical applications.
Core AI Concepts: The program starts with a solid foundation in AI concepts, including machine learning, deep learning, natural language processing, and robotics.
Advanced Machine Learning: Students delve into advanced machine learning techniques, including neural networks, reinforcement learning, and generative adversarial networks (GANs), enabling them to build sophisticated AI models.
Big Data Analytics: Students gain expertise in handling and analyzing large datasets, a critical skill for AI professionals working with vast amounts of data.
Computer Vision: The program covers computer vision, allowing students to develop AI systems capable of interpreting and understanding visual information from images and videos.
Natural Language Processing (NLP): Students learn NLP techniques, which are essential for developing applications like speech recognition, sentiment analysis, and chatbots.
Practical Experience: The Advanced Practice element of the program provides students with the opportunity to work on real-world AI projects, gaining valuable hands-on experience in industry settings.
Ethics and Responsible AI: Students explore the ethical considerations of AI development and learn to ensure that AI technologies are developed and deployed responsibly.
Research Component: The program often includes a research project or dissertation, allowing students to contribute to the advancement of AI knowledge in a specialized area.
Advanced Skills: With the Advanced Practice element, students have the chance to apply their skills in real-world scenarios, enhancing their problem-solving abilities and adaptability.
Duration: The program's duration may vary, typically spanning one to two years, depending on the specific course structure and whether the Advanced Practice component is included.
Middlesbrough
IELTS 6.5
£ 14000
Postgraduate Programs: For postgraduate programs, international students are required to meet the following entry requirements:
Academic Qualifications: Students should hold a relevant undergraduate degree or equivalent qualification from a recognized institution with a minimum overall score of 50% or above. The specific entry requirements may vary depending on the chosen course. It is recommended to refer to the university's official website or contact the admissions office for detailed information on course-specific requirements.
English Language Proficiency: International students whose first language is not English are required to demonstrate their English language proficiency. The minimum English language requirements for postgraduate programs at Teesside University are the same as for undergraduate programs:
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.
Teesside University in the United Kingdom offers a range of scholarships and funding opportunities to support international students in their academic journey. These scholarships aim to recognize academic excellence, promote diversity, and provide financial assistance to students who demonstrate exceptional talent and potential.
It is important to note that the availability and eligibility criteria for scholarships may vary from year to year.
Upon completing the MSc Artificial Intelligence program with Advanced Practice at Teesside University, graduates are well-positioned for a wide range of rewarding career opportunities.
AI Researcher: Graduates can pursue research roles in academia, research institutions, or AI companies, contributing to the development of cutting-edge AI technologies.
Machine Learning Engineer: With advanced skills in machine learning, graduates can work on designing and deploying AI models for industries such as healthcare, finance, and e-commerce.
Data Scientist: Graduates can become data scientists, specializing in data analysis and using AI to derive actionable insights from large datasets.
Computer Vision Specialist: Those interested in computer vision can work on projects related to image recognition, object detection, and augmented reality.
NLP Engineer: Graduates can focus on natural language processing, working on applications like speech recognition, chatbots, and language understanding.
AI Consultant: Graduates can offer their expertise as AI consultants, helping organizations implement AI strategies and solutions.
AI Project Manager: Graduates can take on leadership roles as AI project managers, overseeing the development and deployment of AI projects within organizations.
AI Ethics Advisor: Some graduates may choose to specialize in AI ethics, ensuring that AI technologies are developed and used responsibly.
Ph.D. Researcher: Graduates interested in further research can pursue Ph.D. programs in AI and related fields, leading to academic and research careers.