MSc Accounting and Finance
The MSc Accounting and Finance program at Teesside University is designed to equip stud...
Middlesbrough
INTAKE: September
The MSc in Applied Data Science at Teesside University is a comprehensive and practical course that focuses on the application of data analytics in various domains.
Interdisciplinary Approach: This program adopts an interdisciplinary approach, drawing knowledge from fields such as computer science, statistics, and business analytics.
Data Analysis Skills: Students gain proficiency in data analysis techniques, including data mining, machine learning, statistical modeling, and data visualization.
Real-world Projects: The program emphasizes practical experience, with students working on real-world data science projects, often in collaboration with industry partners.
Big Data Technologies: Students are exposed to big data technologies and tools, preparing them to handle large datasets efficiently.
Programming Skills: The program enhances programming skills, with a focus on languages commonly used in data science, such as Python and R.
Ethical Considerations: Students explore the ethical implications of data science and learn to apply data privacy and security best practices.
Research Component: Many programs include a research project or dissertation, enabling students to delve into a specific area of data science that aligns with their interests.
Industry Collaboration: Teesside University often collaborates with industry partners, providing students with opportunities for internships and industry-relevant projects.
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 Applied Data Science program at Teesside University are well-prepared for a range of career opportunities in the rapidly growing field of data science.
Data Analyst: Graduates can work as data analysts, utilizing their skills to extract insights from data and inform decision-making.
Data Scientist: Data science professionals analyze complex datasets, build predictive models, and create data-driven solutions.
Machine Learning Engineer: Those with a passion for machine learning can pursue roles focused on developing and implementing machine learning algorithms.
Business Intelligence Analyst: Graduates can become business intelligence analysts, helping organizations make informed strategic decisions.
Data Engineer: Data engineers design and maintain data pipelines and infrastructure to ensure data availability and quality.
Data Consultant: Some individuals may work as data consultants, providing expert advice to organizations seeking to harness the power of their data.
AI Specialist: With the increasing importance of artificial intelligence, graduates may choose to specialize in AI development and applications.
Data Privacy and Security Analyst: Professions focusing on data privacy and security are vital, and graduates can contribute to protecting data assets.
Researcher: Opportunities exist in research institutions and academia for those interested in advancing the field of data science.