MSc Accounting and Finance
The MSc Accounting and Finance program at Teesside University is designed to equip stud...
Middlesbrough
INTAKE: September
The MSc Artificial Intelligence program at Teesside University is a cutting-edge degree program that prepares students for careers in AI research, development, and application across various industries.
Foundations of AI: The program covers the fundamental principles and theories of AI, including machine learning, natural language processing, computer vision, and robotics.
Advanced Machine Learning: Students delve into advanced machine learning techniques, exploring deep learning, neural networks, and reinforcement learning to develop AI models for complex tasks.
Data Science and Big Data Analytics: The curriculum emphasizes data science skills, including data preprocessing, feature engineering, and the analysis of large datasets to derive valuable insights.
Computer Vision: Students learn about computer vision, enabling them to develop AI systems capable of interpreting and understanding visual information from images and videos.
Natural Language Processing (NLP): The program covers NLP techniques, enabling students to work on projects involving speech recognition, sentiment analysis, chatbots, and language translation.
Robotics and Autonomous Systems: Students explore robotics and autonomous systems, gaining insights into the design and development of intelligent robots and autonomous vehicles.
Ethical AI and Responsible Innovation: The curriculum includes discussions on ethical AI, bias mitigation, and responsible AI innovation, preparing students to address the societal and ethical implications of AI technologies.
AI in Industry: Students have the opportunity to work on real-world AI projects, collaborating with industry partners to solve practical AI challenges.
Research and Dissertation: The program culminates in a research project or dissertation, allowing students to contribute to the advancement of AI knowledge in a specialized area.
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.
Graduates of Teesside University's MSc Artificial Intelligence program are well-prepared for a wide range of career opportunities.
AI Researcher: Graduates can pursue research roles, contributing to AI breakthroughs in academia, research institutions, and AI companies.
Machine Learning Engineer: Graduates can work as machine learning engineers, developing AI models and solutions for industries such as healthcare, finance, and e-commerce.
Data Scientist: With expertise in data analysis and AI, graduates may choose careers as data scientists, extracting valuable insights from data to drive decision-making.
Computer Vision Specialist: Graduates can specialize in computer vision, working on projects related to image recognition, object detection, and augmented reality.
NLP Engineer: Those interested in natural language processing can become NLP engineers, focusing on speech recognition, chatbots, and language understanding applications.
AI Consultant: Graduates can offer their expertise as AI consultants, assisting organizations in implementing AI strategies and solutions.
AI Ethics Advisor: Some graduates may choose to specialize in AI ethics, ensuring that AI technologies are developed and deployed responsibly.
AI Project Manager: Graduates can take on leadership roles as AI project managers, overseeing the development and deployment of AI projects within organizations.
Ph.D. Researcher: Graduates looking to pursue further studies can opt for Ph.D. programs in AI and related fields, leading to academic and research careers.