MSc Business Analytics
The MSc Business Analytics program is a postgraduate degree that focuses on the applica...
Streatham Campus
INTAKE: September
The MSc Data Science program at the University of Exeter is an exceptional offering designed to equip students with advanced skills and knowledge in the field of data science. This program exemplifies the university's commitment to delivering cutting-edge education that addresses the increasing demand for data-driven insights in various industries.
Comprehensive Data Science Education: The program covers a wide range of topics in data science, including data analysis, machine learning, statistical modeling, data visualization, and data ethics.
Hands-On Practical Experience: Practical application is a cornerstone of the program. Students engage in hands-on projects, real-world data analysis, and coding to develop proficiency in data manipulation and analysis.
Advanced Analytics Techniques: The program focuses on advanced analytics techniques, enabling students to extract valuable insights from complex datasets and make informed decisions.
Interdisciplinary Approach: Data science intersects with various disciplines. The program encourages interdisciplinary collaboration, allowing students to apply data science techniques in diverse contexts.
Industry-Relevant Tools: Students gain proficiency in using industry-standard tools and technologies such as Python, R, and data visualization libraries, enhancing their readiness for data science roles.
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 Data Science program are well-prepared for diverse career opportunities in industries such as technology, finance, healthcare, marketing, and more. The program equips students with specialized skills that are highly valued in extracting insights from data to inform business strategies and decision-making.
Data Scientist: Graduates can work as data scientists, analyzing complex datasets, developing predictive models, and providing data-driven insights to organizations.
Machine Learning Engineer: With advanced knowledge, graduates can specialize as machine learning engineers, designing and implementing machine learning algorithms for predictive analysis.
Data Analyst: Graduates can pursue roles as data analysts, exploring data trends, visualizing insights, and communicating findings to stakeholders.
Business Intelligence Analyst: Graduates can work in business intelligence roles, using data analysis to inform strategic decisions and optimize business processes.
Data Consultant: Graduates can offer consulting services, advising organizations on data strategies, analytics solutions, and best practices.