Master's in Data Science
Introduction
Data Science is a Masters program taught at City St George's, University of London, UK. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.
Course Overview
The Master's degree in Data Science at City St George's, University of London equips students with the necessary skills to thrive in the rapidly evolving field of data analytics and decision-making. The course covers a wide array of topics, including statistical learning, machine learning, data mining, data visualization, and ethical considerations in data management. Students will engage with real-world datasets to solve complex problems, enhancing their analytical and problem-solving capabilities.
This program is structured to provide a comprehensive understanding of both the theoretical foundations and practical applications of data science. As students advance through the curriculum, they will participate in collaborative projects, utilize advanced programming languages, such as Python and R, and learn to leverage big data technologies. The incorporation of industry trends into the coursework allows students to remain relevant and competitive in the job market.
Beyond technical skills, the program emphasizes soft skills such as teamwork, communication, and critical thinking. Studying in the UK offers international students the chance to immerse themselves in a diverse academic and cultural environment, fostering a global perspective that is invaluable in the field of data science.
Admission Requirements
The minimum requirements for admission in Data Science at City St George's, University of London for all applicants (Domestic or International) are:
- program specific academic requirment set by City St George's, University of London.
- English Language OR any other language requirments as set by City St George's, University of London as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
Entry Requirements
Applicants typically are required to hold a relevant undergraduate degree in fields such as computer science, mathematics, statistics, or engineering. A strong background in quantitative methods and programming is advantageous. Additionally, relevant work experience or project involvement may strengthen an application.
English Language Proficiency
Students are generally expected to demonstrate English language proficiency through standardized tests such as IELTS or TOEFL. Typically, an overall IELTS score of 6.5 or a TOEFL score of 90 is required, with no individual band lower than 6.0 (or equivalent).
Courses Units
Please check detail of study units at https://www.citystgeorges.ac.uk/prospective-students/courses/undergraduate
More Information
Career Opportunities
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Statistician
- Research Scientist
- Data Engineer
- Data Visualization Specialist
Scholarships
85 fully funded scholarships are listed for UK. See UK scholarships.