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4 Years On Campus Bachelors Program
Royal Holloway University of LondonThe BSc (Econ) in Economics and Data Science with a Year in Business at Royal Holloway, University of London, is a four-year program that merges economic theory with cutting-edge data analysis and real-world business experience. Ideal for students aiming to become data-savvy economists, it equips you with the skills to thrive in sectors like finance, technology, government, and consulting.
Curriculum Structure:
Year 1: Foundations in Economics and Data Science
In your first year, you'll build a strong foundation in economics and data science. Core modules include Introduction to Data Science, which introduces data analysis techniques, and Economic Modelling and Data Science, focusing on applying data science to economic models. You'll also delve into Quantitative Methods for Economics, covering statistical and mathematical tools essential for economic analysis.
Year 2: Advanced Analysis and Application
The second year deepens your understanding of economic theories and data analysis. Modules like Machine Learning and Data Mining enhance your ability to analyze complex datasets, while Time Series for Macroeconomics with Data Science applies data science techniques to macroeconomic data. You'll also study Data Presentation and Visualisation, learning to effectively communicate data insights.
Year 3: Year in Business
In your third year, you'll gain practical experience through a work placement in a business setting. This year allows you to apply your academic learning in real-world scenarios, developing professional skills and industry insights.
Year 4: Integration and Specialisation
The final year focuses on integrating your knowledge and specialising in areas of interest. You'll undertake a dissertation project, applying your research skills to a topic of your choice. Optional modules allow for further specialisation in areas like financial economics or advanced data analytics.
Focus Areas: Economic Modelling, Data Science, Machine Learning, Time Series Analysis, Business Applications
Learning Outcomes: Data Analysis, Economic Theory Application, Programming Skills (Python, R), Statistical Literacy, Business Acumen
Professional Alignment: The program prepares graduates for roles in data analytics, economic consulting, and business strategy, aligning with industry needs for data-driven decision-making.
Reputation: Royal Holloway is recognized for its strong emphasis on employability, with graduates securing positions in top firms across various sectors.
This program is an excellent choice if you're looking to combine a solid grounding in economics with advanced data science skills and practical business experience. It offers a comprehensive pathway to a successful career in today's data-driven economy.
At Royal Holloway, the BSc (Econ) Economics and Data Science with a Year in Business is designed to ensure you gain hands-on experience that bridges theory and practice. From day one, you’ll engage in practical projects, exploring programming, data visualisation, machine learning, and web-scraping. The program integrates access to cutting-edge facilities, software, and industry-relevant tools, preparing you for real-world challenges in economics and data science. Your learning is further enriched by working alongside leading researchers and applying economic models to high-powered data analysis.
The experiential learning opportunities include:
Practical projects: Hands-on exercises in programming, data visualisation, machine learning, and web-scraping to develop a strong technical portfolio.
Industry-relevant software: Training and certifications in Python and R, widely used in data science and economics.
Data Lab facilities: Newly created labs equipped for advanced data analysis and research.
Year in Business placement: A full year working with a relevant employer, gaining real-world business experience.
Research and case studies: Opportunities to work on cutting-edge research projects and practical economic case studies.
Collaborative group projects: Develop teamwork and problem-solving skills through structured group assignments.
Portfolio development: Build a professional portfolio showcasing your applied skills in economics and data science.
This blend of academic rigor and practical exposure ensures you graduate not only with knowledge but with the confidence and experience to excel in your chosen career.
Graduates of the BSc (Econ) Economics and Data Science with a Year in Business at Royal Holloway University of London emerge with a highly marketable skill set that combines economics insight with advanced data science expertise. Typical roles include Data Analyst, Financial Consultant, Economic Forecaster, and Business Intelligence Specialist:
University Careers Services: Dedicated support through the Careers & Employability Service, offering CV workshops, interview prep, internship placements, and networking events with top employers.
Employment Stats & Salary Figures: Graduates enjoy strong employment outcomes, with many entering roles in finance, consulting, and tech sectors, earning starting salaries ranging from £28,000–£35,000, with potential for rapid growth.
University–Industry Partnerships: Opportunities for work placements and collaborations with firms in finance, e-commerce, and tech during the Year in Business, providing hands-on experience with real-world challenges.
Long-Term Accreditation Value: This degree equips students with skills aligned with professional certifications in data analytics and economic research, enhancing career progression internationally.
Graduation Outcomes: Alumni are highly sought after in sectors including finance, data analytics, consulting, technology, and government policy roles.
Further Academic Progression:
Graduates may continue their studies with Master’s programs in Economics, Data Science, Financial Economics, or Business Analytics, or pursue professional qualifications such as Chartered Financial Analyst (CFA) or Data Science certifications, opening pathways to senior analytical and strategic roles globally.
A Levels: AAB-ABB / A-level MathematicsAt least five GCSEs at grade A*-C or 9-4 including English and Mathematics.IB: 6,6,5 at Higher Level including Maths with a minimum of 32 points overall.For Indian Applicants: Achieve a grade of 80% overall in your Higher Secondary School Certificate with 80% in any A-level subject specified aboveFor US Applicants: Applicants must either achieve a 4 in at least two relevant AP exams, a composite ACT score of 25 (including writing) with a 4 in an AP or B in a specified A-Level subject, or an SAT score of 1100 with a 4 in an AP or B in a specified A-Level subject.AP Calculus BC or an equivalent college course is required for Computer Science and Electronic Engineering.IELTS: 6.5 overall. Writing 7.0. No other subscore lower than 5.5.TOEFL iBT: 88 overall, with Reading 18 Listening 17 Speaking 20 Writing 26.Data AnalystStatisticianData ScientistBusiness AnalystQuantitative AnalystActuaryOperations Research AnalystFinancial AnalystMarket Research AnalystRisk AnalystData EngineerMachine Learning EngineerBiostatisticianEconometricianArtificial Intelligence Specialist
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