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 with Advanced Practice at Teesside University offers an enriched learning experience that goes beyond the traditional classroom.
Core Data Science Skills: Students gain a strong foundation in data science, covering topics such as data analysis, machine learning, statistical modeling, and data visualization.
Advanced Practice: The program includes an advanced practice module, allowing students to apply their knowledge and skills in a real-world setting. This often involves a work placement or consultancy project with an industry partner.
Interdisciplinary Approach: Students benefit from an interdisciplinary curriculum, drawing insights from computer science, mathematics, and business analytics.
Big Data Technologies: The program covers big data technologies and tools, preparing students to handle and analyze large datasets effectively.
Programming Proficiency: Students enhance their programming skills, with a focus on languages commonly used in data science, such as Python and R.
Ethical Considerations: Ethical and legal aspects of data science are explored, ensuring graduates understand data privacy and security regulations.
Research Opportunities: Many programs offer students the chance to undertake a research project or dissertation, allowing them to delve into a specific area of interest.
Industry Collaboration: Teesside University collaborates with industry partners, providing students with valuable networking opportunities, 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 with Advanced Practice program are well-prepared for a wide range of career opportunities in the burgeoning field of data science.
Data Scientist: Graduates can work as data scientists, applying their expertise to extract valuable insights from data.
Machine Learning Engineer: Those with a passion for machine learning can pursue roles focused on developing and implementing machine learning algorithms.
Data Analyst: Data analysts play a crucial role in organizations by translating data into actionable insights for decision-makers.
Business Intelligence Specialist: Graduates can become business intelligence specialists, aiding organizations in strategic decision-making.
Data Consultant: Data consultants provide expert advice to organizations seeking to optimize their data-driven strategies.
Big Data Engineer: Professionals in this role design and manage data pipelines and infrastructure to ensure the availability and quality of data.
AI Specialist: With the growing importance of artificial intelligence, graduates may specialize in AI development and applications.
Data Privacy and Security Expert: Opportunities exist in roles focused on protecting data assets, ensuring compliance with data privacy regulations.
Researcher: Some graduates may choose to pursue research roles in institutions or academia, contributing to the advancement of data science.