MSc Accounting
The MSc Accounting at the University of Manchester, United Kingdom, is a specialized po...
Manchester, England
INTAKE: Jan & Sept
The MSc Economics and Data Science program at the University of Manchester is designed to provide students with a unique blend of advanced economics and data science skills. This interdisciplinary program equips students with the analytical and quantitative tools needed to analyze economic problems using data-driven approaches. The curriculum integrates concepts from economics with programming, machine learning, and statistical modeling to prepare graduates for roles in both academia and industry. Students gain practical experience in applying these skills to real-world economic issues, with an emphasis on the increasing demand for data science in modern economics. Graduates leave the program ready to address complex challenges in areas such as economic policy, finance, and business analytics.
Curriculum: The MSc Economics and Data Science program combines theoretical economics with the practical skills of data science, ensuring that students develop expertise in both areas. Core modules in the curriculum include Microeconomics, Macroeconomics, Econometrics, Data Science, Machine Learning, and Statistical Programming. Students also have the opportunity to explore specialized topics such as Big Data Analytics, Time Series Econometrics, and Computational Economics, which prepare them for the demands of the modern workforce. The program offers a mix of theoretical coursework, practical applications, and independent research, culminating in a dissertation where students apply their learning to a topic of their choice. By the end of the program, students are proficient in economic analysis and capable of using data science techniques to interpret complex economic data.
Research Focus: The MSc Economics and Data Science program at the University of Manchester places a strong emphasis on research, with students encouraged to explore both theoretical and applied aspects of economics through the lens of data science. Research topics can include areas such as economic forecasting, behavioral economics, financial market analysis, and econometric modeling, where data science tools such as machine learning and artificial intelligence can be used to model economic systems. The program encourages students to undertake independent research and contribute to cutting-edge developments in the field. Access to the university’s well-established research centers and collaborations with industry partners allows students to engage with innovative projects and learn from leading experts in the field.
Industry Engagement: The University of Manchester has established strong links with industry, ensuring that students on the MSc Economics and Data Science program gain exposure to real-world applications of the skills they acquire. Students can benefit from the university’s partnerships with major financial institutions, government bodies, and research organizations. These collaborations offer students opportunities for internships, industry-led projects, and networking events, which enhance their understanding of the practical applications of economics and data science in various sectors. The program’s focus on data-driven decision-making ensures that students are well-prepared to meet the growing demand for skilled professionals who can bridge the gap between economics and data science.
Global Perspective: The MSc Economics and Data Science program at the University of Manchester provides a global perspective, preparing students for careers that may involve international economics and global data challenges. The curriculum integrates a wide range of case studies from different regions, allowing students to understand how economic and data science principles apply in diverse global contexts. Additionally, the program attracts students from all over the world, fostering a diverse learning environment where students can share perspectives and experiences. This global outlook equips graduates with the skills to address international economic challenges, work with multinational organizations, and contribute to global economic research.
Manchester, England
IELTS 7
£ 33500
Postgraduate Entry Requirements
Application fee: £60
Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
English language proficiency:
The University of Manchester offers a range of scholarships to support international students in funding their education and making their academic journey more accessible. These scholarships are designed to reward academic excellence, support students from diverse backgrounds, and help ease the financial challenges of studying abroad.
Global Futures Scholarship: The Global Futures Scholarship is a prestigious award for international students who demonstrate academic excellence and potential. This scholarship offers a £5,000 contribution towards tuition fees, providing financial assistance for undergraduate and postgraduate students. This scholarship is open to students from specific countries and disciplines, so it is essential to check eligibility criteria and deadlines.
Manchester Master’s Bursary: The Manchester Master’s Bursary is a financial aid program aimed at helping postgraduate students who come from lower-income backgrounds. This bursary offers support for UK, EU, and international students who wish to pursue a master’s degree at the university. The bursary can cover a significant portion of tuition fees and is awarded based on financial need.
Subject-Specific Scholarships: Many departments at the University of Manchester offer subject-specific scholarships for students enrolling in their programs. For example, students applying for programs in engineering, business, life sciences, and the arts may be eligible for additional funding based on academic performance and their future potential. These scholarships are often offered to high-achieving students who demonstrate exceptional skills and dedication to their field of study.
Chevening Scholarships: The Chevening Scholarship is a fully-funded award provided by the UK government, open to outstanding international students from over 160 countries. The scholarship covers tuition fees, living costs, travel expenses, and other related costs. The University of Manchester is a proud participant in this global program and welcomes applications from students wishing to pursue a master's degree in a variety of disciplines.
Commonwealth Scholarships: The Commonwealth Scholarship Commission offers fully funded scholarships for international students from Commonwealth countries. These scholarships support students pursuing postgraduate studies in fields such as engineering, health sciences, and education. They cover the full cost of tuition fees, travel, and living expenses during the duration of the program.
Regional Scholarships: The university also offers regional scholarships for students from specific countries or regions, including Asia, Africa, Europe, and the Americas. These scholarships are designed to make studying at the University of Manchester more accessible to students from these regions and offer both partial and full financial support depending on the scholarship type.
Graduates of the MSc Economics and Data Science program from the University of Manchester are well-positioned to enter a range of high-demand industries, thanks to their expertise in both economics and data science. This interdisciplinary skill set opens up numerous career pathways across various sectors.
Data Scientist: Graduates can work as data scientists in a variety of industries, including finance, healthcare, government, and technology, where they apply advanced data analysis techniques to solve complex problems and inform decision-making.
Economist: With strong analytical skills, graduates can pursue roles as economists in government, international organizations, and research institutes, using economic theory and data-driven insights to advise on policy decisions and economic strategies.
Financial Analyst: The program’s blend of economics and data science makes graduates ideal candidates for roles in financial analysis, where they can use statistical models and data-driven strategies to assess market trends, investment opportunities, and risk management.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, using data science tools to help organizations make informed strategic decisions by analyzing large datasets and extracting actionable insights.
Policy Analyst: Equipped with strong research and data analysis skills, graduates can work as policy analysts in governmental and non-governmental organizations, utilizing economic models and data science to evaluate the potential impact of public policies.
Machine Learning Engineer: Graduates with a keen interest in programming and machine learning can pursue careers as machine learning engineers, developing algorithms and systems to solve complex problems in industries such as tech, finance, and healthcare.
Consultant in Data Science and Economics: Graduates can enter consultancy roles, offering their expertise to organizations that need to integrate data science into their economic analysis, helping them optimize operations, forecasts, and policy decisions.
Academic and Researcher: For those interested in academia, graduates can pursue advanced research or teaching roles in economics or data science, contributing to the development of the field through research and education.
Quantitative Analyst (Quant): In the financial sector, graduates can become quantitative analysts (Quants), where they use mathematical models, statistical techniques, and data analysis to inform investment strategies and financial risk management.
Data-Driven Decision Maker in Business: Companies across all industries are increasingly looking for professionals who can leverage data science to guide business decisions. Graduates of this program can serve as key players in any organization’s data-driven decision-making process.