MSc Civil Engineering and Management
The MSc Civil Engineering and Management program at the University of Nottingham provid...
University Park Campus
INTAKE: September
The MSc Economics and Data Science program at the University of Nottingham provides students with a comprehensive understanding of both economic theory and data analytics. With the rapid advancement of technology, the ability to analyze large datasets and apply them to economic theory has become essential for businesses, governments, and research institutions. This program equips students with the knowledge to use machine learning, data visualization, statistical analysis, and econometric modeling to tackle real-world economic challenges. Graduates of the program will be highly sought after in a range of sectors including finance, policy analysis, consulting, and technology.
Curriculum: The MSc Economics and Data Science program offers a well-rounded curriculum that balances core economics with the latest data science techniques. Core modules typically include microeconomics, macroeconomics, econometrics, and data science techniques. Students will also engage in advanced courses such as machine learning for economics, big data analytics, and data visualization, which focus on practical applications in economics. The curriculum also emphasizes quantitative analysis and the use of software tools like Python, R, and STATA, enabling students to process and analyze large datasets effectively. Additionally, students will have the opportunity to work on a dissertation or capstone project, which allows them to apply their skills to a specific research question or economic issue.
Research Focus: The MSc Economics and Data Science program is closely aligned with the University of Nottingham’s strong research culture, focusing on areas where economics and data science intersect. Students will engage with research themes such as economic forecasting, policy analysis, financial modeling, and economic behavior modeling. The program encourages students to apply data science techniques to real-world economic problems, giving them the ability to analyze large datasets, predict economic trends, and inform policy decisions. Faculty members are actively involved in research, and students will have opportunities to participate in ongoing projects, deepening their understanding of the latest developments in the field.
Industry Engagement: The University of Nottingham has a strong network of industry connections, particularly in sectors like finance, government policy, and consulting, where the combination of economics and data science is highly valued. Students benefit from guest lectures, workshops, and networking events with industry professionals, which provide valuable insights into the practical application of the skills they are learning. The program also encourages industry partnerships for internships and placements, giving students real-world experience in applying data science techniques to economic analysis. These opportunities ensure that students graduate with not only academic expertise but also practical skills that are highly attractive to employers.
Global Perspective: The MSc Economics and Data Science program at the University of Nottingham offers a global perspective by addressing economic issues that span international borders and regions. Students will explore the global economy and apply data science tools to analyze economic phenomena in different countries and contexts. The program’s international outlook is enhanced by the university’s diverse student body, which includes students from various countries, providing a unique opportunity for cross-cultural exchange and collaborative learning. Additionally, students will have the opportunity to learn from faculty who have global expertise in both economics and data science, offering a truly international educational experience.
University Park Campus
IELTS 6.5
£ 26250
Postgraduate Entry Requirements: For admission into postgraduate programs at the University of Nottingham, international students are generally required to meet the following criteria:
Academic Qualifications: Students should have completed a bachelor's degree or its equivalent with a minimum of 60% or above in their country's grading system. The specific entry requirements may vary depending on the chosen program of study. Some programs may have additional subject-specific requirements or prerequisite knowledge.
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Scholarships for International Students at the University of Nottingham:
International Excellence Scholarship: The University of Nottingham offers the International Excellence Scholarship to high-achieving international students. This scholarship is merit-based and provides a tuition fee reduction of up to £4,000 for postgraduate students.
Developing Solutions Scholarships: The Developing Solutions Scholarships are targeted at students from developing countries. These scholarships cover full tuition fees and provide additional support for living expenses. The aim of these scholarships is to empower students from disadvantaged backgrounds and enable them to make a positive impact in their home countries.
Sports Scholarships: The university recognizes the importance of sports and offers Sports Scholarships to exceptional athletes. These scholarships provide financial support to talented sportsmen and sportswomen, helping them balance their sporting commitments with their academic studies.
Nottingham Global Scholarships: The Nottingham Global Scholarships are awarded to outstanding international students across various academic disciplines. These scholarships provide financial assistance in the form of a tuition fee reduction.
Research Scholarships: The University of Nottingham offers a range of scholarships specifically for international students pursuing research degrees (Ph.D. or MRes). These scholarships provide funding to cover tuition fees and living expenses, allowing students to focus on their research projects.
Country-Specific Scholarships: The university also offers scholarships specifically tailored to students from certain countries. These scholarships may be based on academic merit, leadership potential, or specific criteria defined by the sponsoring organizations or governments.
Alumni Scholarships: The University of Nottingham values its alumni and offers scholarships exclusively for students who have completed a previous degree at the university. These scholarships provide financial support for further studies at the university.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.
Graduates of the MSc Economics and Data Science program from the University of Nottingham are well-prepared to pursue diverse and impactful career paths.
Economic Analyst: Graduates can work as economic analysts, using data science techniques to analyze economic trends and provide informed insights.
Data Scientist: Equipped with a strong economics background, graduates can work as data scientists, applying their skills to analyze economic data and develop predictive models.
Policy Advisor: Graduates can work as policy advisors, contributing data-driven recommendations to economic policy formulation and evaluation.
Quantitative Researcher: Many graduates choose to pursue research roles, conducting quantitative research that advances economic understanding and informs policy decisions.
Financial Analyst: Graduates can work in the financial sector, applying data analytics to assess market trends and inform investment strategies.
Academic Pursuits: Graduates can pursue further academic studies or teaching positions, sharing their expertise in economics and data science with future generations.