MSc Business Analytics
The MSc Business Analytics program is a postgraduate degree that focuses on the applica...
Penryn Campus
INTAKE: September
The MSc Applied Data Science and Modelling program at the University of Exeter is a distinguished offering aimed at equipping students with advanced data science skills and modeling techniques. This program exemplifies the university's commitment to delivering cutting-edge education that bridges theory and practical application.
Data Science Mastery: The program focuses on in-depth training in data science methodologies, empowering students with the skills to analyze complex datasets. Students acquire expertise in data manipulation, statistical analysis, and machine learning.
Modelling Techniques: A strong emphasis is placed on modeling techniques that allow students to represent real-world phenomena. Students learn to develop mathematical and computational models to simulate and predict various scenarios.
Interdisciplinary Approach: The program encourages interdisciplinary collaboration, fostering an environment where students combine data science expertise with modeling techniques to solve complex problems across domains.
Hands-on Projects: Students engage in practical projects that involve analyzing real-world datasets, developing models, and deriving actionable insights. These projects enhance problem-solving skills and practical application of knowledge.
Research Integration: The university's strong research culture enables students to collaborate with esteemed faculty members who are actively engaged in data science and modeling research. This interaction exposes students to cutting-edge methodologies and challenges in the field.
Penryn Campus
IELTS 6.5
£ 23000
Academic Qualifications: International students applying for postgraduate programs at the University of Exeter are typically required to have completed a bachelor's degree or equivalent with a minimum overall score of 55% or above. The specific requirements may vary depending on the chosen program and country-specific grading systems.
English Language Proficiency:
IELTS: The minimum requirement is typically an overall score of 6.5, with no less than 6.0 in each component.
TOEFL: The minimum requirement is typically a score of 90 on the internet-based test (iBT), with no less than 20 in each component.
PTE: The minimum requirement is typically a score of 62, with no less than 62 in each component.
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.
The University of Exeter offers a range of scholarships and financial support options to international students. These scholarships aim to recognize academic excellence, support talented individuals, and promote diversity and inclusivity.
It is important to note that the availability and criteria for scholarships may vary from year to year.
Graduates of the MSc Applied Data Science and Modelling program are poised for diverse career opportunities at the nexus of data science and modeling. The program equips students with specialized skills that are highly valued in academia, research institutions, and industries requiring predictive and analytical capabilities.
Data Scientist: Graduates can work as data scientists, analyzing datasets, developing predictive models, and deriving insights that inform decision-making in various sectors.
Modeling Specialist: Graduates can specialize in modeling, collaborating with researchers and organizations to develop mathematical models that simulate and predict complex phenomena.
Research Analyst: With advanced data analysis and modeling skills, graduates can work as research analysts, contributing to research projects that require both empirical analysis and modeling expertise.
Consultant: Graduates can provide data-driven insights to businesses and organizations, aiding strategic planning, risk assessment, and performance optimization.
Academic Researcher: The program prepares graduates for research careers in academia, enabling them to contribute to the development of new modeling techniques and data science methodologies.