MSc Data Science

Postgraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 65% or equivalent.

English language proficiency:

• IELTS: A minimum overall score of 7.0 with no individual component below 6.5.
• TOEFL: A minimum overall score of 100.
• PTE Academic: A minimum overall score of 76.
• Some postgraduate programs may have specific subject prerequisites or additional requirements.

King’s College London is providing financial support to international students who demonstrate academic excellence and financial need. The university offers a variety of scholarships specifically designed to assist international students in covering tuition fees and living costs while studying in the United Kingdom. These scholarships help make higher education more accessible to students from diverse backgrounds and regions.

King’s College London International Postgraduate Scholarships: King’s College London offers a range of scholarships for international postgraduate students. These scholarships are available for students applying to specific master’s programs and are designed to recognize academic achievement and potential. The scholarships vary in value, with some covering partial tuition fees and others offering full financial support. International students who have a strong academic record and potential for research excellence are eligible for consideration.

Commonwealth Scholarships: King’s College London is part of the Commonwealth Scholarship Commission, which offers scholarships to students from Commonwealth countries. These scholarships cover tuition fees, airfare, and living expenses for international students pursuing postgraduate studies in the UK. They are awarded based on academic excellence and the potential to contribute to the development of the student's home country after completing their studies.

Chevening Scholarships: The Chevening Scholarship is a UK government-funded initiative that provides full financial support for postgraduate students from eligible countries. King’s College London is a participating university for Chevening Scholars, who are selected based on academic merit, leadership potential, and the ability to contribute to their communities. Chevening Scholarships cover tuition fees, travel costs, and a living stipend.

Dean’s Scholarships for International Students: Many departments at King’s College London offer Dean’s Scholarships for international students applying to specific programs. These scholarships are awarded based on academic merit and the student’s potential contribution to their field of study. They may provide partial or full funding for tuition fees and are typically available for high-achieving students who have an excellent academic record.

Country-Specific Scholarships: King’s College London offers country-specific scholarships for international students from specific regions or countries. These scholarships are designed to support students who demonstrate outstanding academic achievement and who are making a positive impact in their home country. Each scholarship may have its own eligibility criteria, including academic qualifications, nationality, and financial need.

Graduates of the MSc Data Science program at King’s College London have access to a wide range of career opportunities in the rapidly growing field of data science. The program equips students with strong analytical, programming, and machine learning skills, making them highly valuable to industries that rely on data-driven decision-making. 

Data Scientist: Data scientists analyze complex datasets, develop machine learning models, and provide insights that help organizations optimize their operations and strategies. They work across various industries, including healthcare, finance, marketing, and technology.

Data Analyst: In this role, graduates interpret and visualize data to help businesses make informed decisions. Data analysts use statistical techniques and data visualization tools to uncover trends and patterns.

Machine Learning Engineer: Machine learning engineers develop and deploy AI models that automate processes, enhance business intelligence, and drive innovation in fields such as finance, healthcare, and e-commerce.

Business Intelligence Analyst: This role involves analyzing business data, creating reports, and presenting findings to stakeholders to improve business efficiency and profitability. Business intelligence analysts use tools like SQL, Power BI, and Tableau.

Big Data Engineer: Big data engineers design, build, and manage large-scale data processing systems. They ensure the efficient storage and retrieval of vast amounts of data used by organizations for analysis and insights.

AI Research Scientist: Graduates interested in artificial intelligence research can work on developing new AI techniques, deep learning models, and innovative solutions for automation, robotics, and natural language processing.

Quantitative Analyst (Quant): In the financial sector, quantitative analysts use mathematical models, statistical techniques, and machine learning to analyze market trends and develop trading strategies.

Data Consultant: Data consultants advise businesses on how to leverage data science solutions to improve operations, enhance security, and maximize revenue. This role involves working with clients from various industries.

Health Data Scientist: The healthcare industry increasingly relies on data science for personalized medicine, predictive analytics, and disease prevention. Graduates can work in hospitals, pharmaceutical companies, or health tech firms.

Government and Policy Analyst: Public sector organizations and governments use data science for policy-making, resource allocation, and improving public services. Graduates can contribute to data-driven decision-making in areas such as urban planning, security, and environmental protection.