BSc (Hons) Economics with Data Science

Goldsmiths, University of London, presents the BSc (Hons) Economics with Data Science program, an innovative blend of economics principles and cutting-edge data science techniques. This program is designed to equip students with a comprehensive understanding of economics alongside the analytical and computational skills necessary for leveraging data in decision-making.

Curriculum: The curriculum for the BSc (Hons) Economics with Data Science program at Goldsmiths is meticulously crafted to integrate economic theory with practical data science applications. Students engage in a variety of modules covering economic principles, statistical methods, machine learning, and data visualization. The program emphasizes hands-on experience, allowing students to apply data science techniques to real-world economic scenarios.

Research Focus: Goldsmiths places a strong emphasis on research within the BSc (Hons) Economics with Data Science program. Students are encouraged to engage in research projects that explore the intersection of economics and data science, whether it's analyzing economic trends, conducting econometric studies, or utilizing machine learning for economic forecasting. The program fosters a research-led approach, enabling students to contribute to the evolving field of data-driven economics.

Industry Engagement: Goldsmiths actively fosters industry engagement for students in the BSc (Hons) Economics with Data Science program. This may include collaborations with businesses, internships, and projects that allow students to apply data science skills in real-world settings. The program aims to prepare students for careers where they can leverage data to inform economic decisions in industries such as finance, consulting, and government.

Global Perspective: The BSc (Hons) Economics with Data Science program at Goldsmiths incorporates a global perspective, recognizing the international nature of economic systems and data-driven decision-making. Students explore global economic challenges and analyze data sets from diverse regions, fostering a nuanced understanding of how data science can be applied to address economic issues on a global scale.

Undergraduate Entry Requirements

Academic Qualifications: Prospective undergraduate students should have completed Standard XII with an overall average of 55%. This academic standard ensures a foundational level of education for successful undergraduate studies at Goldsmiths.

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 92 on the TOEFL is accepted, with no sub-score in any section falling below 20.
• PTE Academic: A minimum overall score of 62 with no individual score below 51.
• Some programs may have specific subject prerequisites or additional requirements.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

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.

Goldsmiths, University of London, is renowned for its vibrant academic community, creative atmosphere, and excellence in the arts, humanities, and social sciences. The university offers a range of scholarships for international students, providing financial support and opportunities for academic and personal development.  

Excellence Scholarships: Goldsmiths offers Excellence Scholarships to exceptional international students who demonstrate outstanding academic achievements. These merit-based scholarships provide partial tuition fee waivers and are available across various undergraduate and postgraduate programs.

Santander Universities Scholarships: Goldsmiths has partnerships with Santander Universities, providing additional scholarship opportunities for international students. These scholarships support various academic pursuits, including research projects, study abroad experiences, and entrepreneurial initiatives.

Graduates of the BSc (Hons) Economics with Data Science program at Goldsmiths, University of London, possess a unique and sought-after skill set that opens doors to diverse career opportunities at the intersection of economics and data science. This program equips graduates with the analytical prowess and practical skills necessary for data-driven decision-making. 

Data Analyst in Finance: Graduates can pursue roles as data analysts in the finance sector, analyzing financial data, identifying trends, and providing insights to support investment decisions and risk management.

Economic Analyst for Government Agencies: Individuals may work as economic analysts for government agencies, utilizing data science techniques to analyze economic trends, conduct policy impact assessments, and inform government decision-making.

Data Scientist in Consulting Firms: Careers in consulting firms are open to graduates, where they can work as data scientists, providing data-driven solutions to clients in various industries and sectors.

Quantitative Analyst in Investment Banking: Graduates may enter the field of investment banking as quantitative analysts, applying advanced statistical and mathematical models to assess investment opportunities and manage financial risk.

Market Research Analyst with Data Focus: Individuals can pursue roles as market research analysts with a focus on data, using data science tools to analyze market trends, consumer behavior, and industry dynamics.

Business Intelligence Analyst: Careers as business intelligence analysts are viable options, where graduates can work with organizations to gather, analyze, and visualize data to inform strategic decision-making.

Data Strategist in Corporate Settings: Graduates may become data strategists, developing and implementing strategies for organizations to leverage data for competitive advantage and operational efficiency.

Policy Analyst with Data Emphasis: Graduates can work as policy analysts with a data emphasis, providing data-backed insights to shape and evaluate economic policies for government bodies and think tanks.

Machine Learning Engineer in Tech Companies: Careers in technology companies are open to graduates, where they can work as machine learning engineers, developing algorithms and models for data-driven applications.

Healthcare Data Analyst: Individuals may explore careers in healthcare as data analysts, utilizing data science techniques to analyze healthcare data, identify patterns, and contribute to medical research.

Environmental Data Scientist: Graduates interested in environmental issues can pursue careers as data scientists in environmental research, using data to analyze and address ecological challenges.

Entrepreneur in Data-Driven Startups: Individuals with an entrepreneurial spirit can start their own data-driven startups, leveraging the skills gained in the program to develop innovative solutions and products.