MSc Business Analytics
The MSc Business Analytics program is a postgraduate degree that focuses on the applica...
Streatham Campus
INTAKE: September
The MSc Applied Data Science and Statistics program at the University of Exeter is an outstanding offering designed to equip students with advanced data science and statistical skills. This program stands as a testament to the university's commitment to providing cutting-edge education that merges theoretical knowledge with practical application.
Data Science Mastery: The program provides intensive training in data science methodologies, empowering students with the skills to manipulate and analyze complex datasets. Students gain expertise in data preprocessing, statistical analysis, machine learning, and data visualization.
Statistical Proficiency: A strong emphasis is placed on statistical techniques, enabling students to design experiments, perform hypothesis testing, and make data-driven decisions. Statistical methods are integrated into the data science framework, providing a well-rounded skill set.
Interdisciplinary Approach: The program encourages interdisciplinary collaboration, allowing students to apply data science and statistical techniques to solve complex problems across domains, from finance and healthcare to social sciences and engineering.
Practical Application: Students engage in hands-on projects that involve real-world datasets. These projects enhance problem-solving skills and practical application of data science and statistical knowledge.
Research Integration: The university's strong research culture allows students to collaborate with esteemed faculty members who are actively engaged in data science and statistical research. This interaction exposes students to cutting-edge methodologies and challenges in the field.
Streatham Campus
IELTS 6.5
£ 24500
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 Statistics program are well-prepared for diverse career opportunities at the intersection of data science and statistics. The program equips students with specialized skills that are highly valued in academia, research institutions, and industries requiring robust data analysis and statistical expertise.
Data Scientist: Graduates can work as data scientists, utilizing their skills in data analysis and statistical modeling to extract insights from data and make data-driven decisions.
Statistical Analyst: Graduates can specialize in statistical analysis, working with organizations to design experiments, analyze data, and generate statistical reports.
Researcher: With advanced data science and statistical skills, graduates can work as researchers, contributing to scientific studies in various fields, including health, social sciences, and engineering.
Business Analyst: Graduates can pursue careers as business analysts, helping organizations make informed decisions by analyzing data and identifying trends and patterns.
Academic Researcher: The program prepares graduates for research careers in academia, allowing them to contribute to the development of new statistical methods and data science techniques.