BSc (Hons) Data Science

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 65% or equivalent in their respective country's grading system.

English language proficiency:

• IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
• TOEFL: A minimum overall score of 72.
• PTE Academic: A minimum overall score of 59.
• Some programs may have specific subject prerequisites or additional requirements.

London Metropolitan University offers a variety of scholarships and financial support options designed to assist international students with the cost of tuition fees and living expenses while studying in the UK. These scholarships aim to support talented students, regardless of their financial background, and encourage diversity in the university’s student body.

International Scholarship: London Metropolitan University provides an International Scholarship for non-UK students who are enrolled in full-time undergraduate or postgraduate programs. This scholarship is designed to help reduce the cost of tuition fees and make studying at the university more affordable. The scholarship amount varies depending on the program and student eligibility, typically covering a partial reduction of tuition fees. The scholarship is awarded based on academic merit, and students are assessed upon application for the program.

Regional Scholarships: To encourage students from diverse regions to study at London Metropolitan University, the university offers Regional Scholarships. These scholarships are designed to attract students from specific countries or regions, including Asia, Africa, and the Middle East. The scholarships are often based on merit and financial need and offer varying amounts of financial assistance to help cover the costs of tuition fees.

External Scholarships and Financial Aid: In addition to university-specific scholarships, international students can explore external scholarships offered by organizations, government bodies, and foundations. Some notable external scholarships include those offered by the British Council, Chevening Scholarships, and Commonwealth Scholarships, which provide significant funding to international students pursuing higher education in the UK. London Metropolitan University encourages its international students to apply for these prestigious scholarships in addition to institutional funding opportunities.

London Metropolitan University (London Met) is a prestigious institution in the United Kingdom, offering a diverse range of programs, including the highly sought-after BSc (Hons) Data Science degree. This program is designed to equip students with a robust understanding of data analysis, machine learning, artificial intelligence, and data visualization, among other key areas. With the growing demand for data-driven decision-making across industries, the BSc (Hons) Data Science program at London Met offers graduates a wide array of career opportunities in numerous sectors, including technology, finance, healthcare, marketing, and more.

Data Scientist: Data scientists are in high demand across various sectors due to their ability to interpret complex data sets and generate actionable insights. Graduates of the BSc (Hons) Data Science program at London Met are well-prepared to take on roles as data scientists, where they apply statistical models, machine learning algorithms, and data mining techniques to solve business problems. Data scientists typically work in tech companies, financial institutions, healthcare organizations, or government agencies.

Machine Learning Engineer: Machine learning engineers design, develop, and implement algorithms that allow systems to learn from and make predictions based on data. With a strong focus on machine learning and artificial intelligence in the BSc (Hons) Data Science program, graduates are well-suited for roles in developing smart applications that automate processes, improve user experiences, and make predictions. This role is critical in fields such as autonomous systems, natural language processing, and predictive analytics.

Data Analyst: Data analysts play a key role in transforming raw data into actionable insights for decision-making purposes. They typically work with tools like Excel, SQL, R, and Python to clean, analyze, and visualize data. Graduates of the BSc (Hons) Data Science program are highly skilled in statistical analysis and data visualization techniques, making them ideal candidates for roles as data analysts in sectors such as retail, e-commerce, marketing, and more.

Business Intelligence (BI) Analyst: Business Intelligence Analysts use data analysis and visualization techniques to provide business leaders with insights that help in making strategic decisions. With a solid understanding of data modeling, database management, and analytics tools gained from the program, London Met graduates can pursue careers as BI analysts. These professionals typically work in industries such as finance, healthcare, and technology, assisting companies in improving their business operations.

Data Engineer: Data engineers focus on designing, building, and managing data infrastructure to support data-driven applications and analytics. They work with big data tools and technologies like Hadoop, Spark, and SQL to manage large datasets and ensure they are accessible and efficient. Graduates of the BSc (Hons) Data Science program are equipped with the technical expertise needed to pursue careers as data engineers in tech companies, large corporations, or cloud service providers.

Quantitative Analyst: Known as "Quants," quantitative analysts use mathematical models and algorithms to analyze financial data and develop strategies for financial markets. The statistical and computational skills developed in the BSc (Hons) Data Science program make graduates ideal candidates for roles in the finance industry, where they can contribute to risk assessment, pricing models, and algorithmic trading strategies.

Data Consultant: Data consultants provide expert advice to businesses and organizations on how to leverage data to solve specific problems. They help companies design and implement data strategies, optimize data workflows, and improve decision-making processes through data analysis. Graduates of the BSc (Hons) Data Science program are well-prepared to enter the consulting field, particularly in industries like technology, healthcare, and retail.

AI Specialist: Artificial intelligence is one of the most exciting and fast-evolving areas of data science. AI specialists develop systems that mimic human intelligence, including areas such as speech recognition, image analysis, and decision-making processes. With a strong foundation in machine learning, deep learning, and AI principles, graduates of London Met’s Data Science program are well-positioned for roles as AI specialists in research institutions, tech companies, or AI-focused startups.

Cybersecurity Analyst: With the increasing threats to digital infrastructure, cybersecurity analysts play a critical role in protecting sensitive data and ensuring the security of computer networks. Data science graduates with expertise in data encryption, network security, and predictive analytics can transition into cybersecurity roles, where they apply data science techniques to detect and prevent cyber threats in real time.

Healthcare Data Scientist: Data science is transforming healthcare by improving patient outcomes, optimizing medical processes, and predicting health trends. Graduates of the BSc (Hons) Data Science program can pursue careers as healthcare data scientists, where they analyze patient data, optimize hospital operations, and support research in fields like genomics, epidemiology, and personalized medicine.

Data Visualization Specialist: Data visualization specialists focus on creating visual representations of data that help stakeholders easily interpret complex information. This role is essential in industries like marketing, finance, and public policy, where clear communication of data insights is key. Graduates with strong skills in data visualization tools like Tableau, Power BI, and D3.js are highly sought after for these roles.

Academia and Research Roles: Graduates of the BSc (Hons) Data Science program who are interested in furthering their academic pursuits can pursue master’s or PhD programs in data science, artificial intelligence, or machine learning. This can lead to research positions in academia or private research institutions, where they contribute to the development of new algorithms, models, and applications in data science.