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 with Data Analytics program at Teesside University is a cutting-edge postgraduate course designed to meet the growing demand for professionals skilled in AI and data analytics.
Comprehensive Curriculum: The program offers a comprehensive curriculum that covers foundational AI concepts, machine learning, data analytics, and deep learning techniques.
Practical Application: Students gain hands-on experience through practical projects and access to state-of-the-art AI and data analytics tools and technologies.
Data Science Skills: The curriculum emphasizes data collection, data preprocessing, and data visualization techniques, ensuring students are well-versed in all aspects of data analytics.
Machine Learning: Students delve into machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
Ethical AI: The program addresses the ethical considerations surrounding AI and data analytics, encouraging responsible AI development and deployment.
Real-World Projects: Students work on real-world projects, allowing them to apply their AI and data analytics skills to practical scenarios.
Research Opportunities: The university provides opportunities for students to engage in AI research, contributing to advancements in the field.
Industry Collaboration: Teesside University collaborates with industry partners, offering students insights into AI applications across various sectors.
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 the MSc Artificial Intelligence with Data Analytics program at Teesside University are well-prepared for exciting careers in the field of AI and data analytics.
Data Scientist: Graduates can work as data scientists, analyzing complex datasets and deriving actionable insights to drive business decisions.
Machine Learning Engineer: They can pursue roles as machine learning engineers, developing AI models and algorithms for various applications.
AI Researcher: Opportunities exist in AI research, where graduates can contribute to the development of new AI technologies and methodologies.
Data Analyst: Graduates can work as data analysts, helping organizations harness the power of data for strategic decision-making.
AI Consultant: They can become AI consultants, providing expert guidance to businesses on implementing AI solutions.
AI Project Manager: Some individuals may take on roles as AI project managers, overseeing AI projects from inception to completion.
Data Engineer: Graduates can work as data engineers, responsible for designing and maintaining data pipelines and infrastructure.
AI Ethics Specialist: With a focus on ethical AI, graduates can work as AI ethics specialists, ensuring responsible AI practices within organizations.
Start-Up Founder: Entrepreneurial graduates may choose to start their AI and data analytics ventures, addressing specific industry needs.