MSc International Business
The MSc International Business program at the University of Glasgow is built around the...
MSc Data Analytics for Economics & Finance
Glasgow
INTAKE: September
Program Overview
The MSc Data Analytics for Economics & Finance at the University of Glasgow is an interdisciplinary program that combines core concepts in economics, finance, and data analytics. It is designed to equip students with the technical expertise and analytical skills required to interpret and make data-driven decisions in the financial and economic sectors. The program aims to produce highly skilled professionals who can apply advanced data analytics techniques to solve real-world economic and financial problems.
Curriculum: The curriculum of the MSc Data Analytics for Economics & Finance is comprehensive and provides a strong foundation in both theoretical and practical aspects of economics, finance, and data analytics. Core modules include subjects such as financial markets, econometrics, machine learning, programming for data analysis, and economic modeling. Students also gain expertise in data visualization, statistical analysis, and big data technologies, all of which are essential for effective decision-making in economics and finance. The program includes practical assignments, case studies, and group projects that allow students to apply their learning to real-world situations, further enhancing their problem-solving abilities.
Research Focus: The University of Glasgow is at the forefront of research in the fields of economics, finance, and data analytics. Its strong research culture ensures that students benefit from the latest developments and innovations in these disciplines. The university’s economics and finance departments are internationally recognized for their contributions to understanding financial markets, macroeconomic policies, and the use of big data in economic modeling. As part of the MSc Data Analytics for Economics & Finance, students have the opportunity to engage with faculty members who are leading research in data-driven economic analysis, econometrics, and financial modeling. This exposure to cutting-edge research allows students to apply the latest techniques in their coursework and future careers.
Industry Engagement: The University of Glasgow fosters strong relationships with key players in the finance, economics, and technology industries. These partnerships offer students numerous opportunities for internships, collaborative research projects, and networking with professionals in the field. The program includes industry-relevant projects that provide students with hands-on experience working with real datasets from financial institutions and businesses. This engagement enhances students’ employability, helping them develop the skills needed to thrive in the competitive world of economics and finance. The university’s dedicated career services also offer tailored support to help students secure jobs in top global organizations.
Global Perspective: With a diverse and international student body, the University of Glasgow provides students with a global perspective on data analytics, economics, and finance. The MSc Data Analytics for Economics & Finance program incorporates international case studies and projects that reflect the global nature of financial markets and economic systems. The program’s partnerships with universities and institutions worldwide further enhance its global reach, providing students with opportunities for cross-cultural learning and international collaboration. This global outlook is critical for students who wish to pursue careers in multinational organizations or engage with global economic issues.
Location
Glasgow
Score
IELTS 6.5
Tuition Fee
£ 31800
Postgraduate Entry Requirements:
- 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 is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 90, with at least 19 in Listening, 20 in Reading, 19 in Speaking, and 23 in Writing.
- PTE Academic: A minimum overall score of 60 with no individual score below 59.
- Some postgraduate 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.
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.
The University of Glasgow offers a variety of scholarships to both domestic and international students to help support their studies.
University of Glasgow International Excellence Scholarship: This scholarship is open to international students who have demonstrated academic excellence. It provides a tuition fee discount for postgraduate programs at the University of Glasgow.
Santander Scholarships: The University of Glasgow has a partnership with Santander Bank, which offers scholarships to support international students. These scholarships provide financial assistance to students from specific countries and cover a portion of the tuition fees.
GREAT Scholarships: The University of Glasgow participates in the GREAT Scholarships program, which is a joint initiative of the UK government and British universities. These scholarships are awarded to students from specific countries and cover a portion of the tuition fees.
Sir Fitzroy Maclean Postgraduate Scholarship: This scholarship is available to international students pursuing a postgraduate degree in either the School of Humanities or the School of Social and Political Sciences.
Chancellors Award: This scholarship is available to both domestic and international students studying any discipline at the University of Glasgow and offers a tuition fee discount of up to £10,000.
Glasgow International Leadership Scholarship: This scholarship is available to international students studying any postgraduate program and offers a tuition fee discount of up to £10,000.
Glasgow Refugee, Asylum and Migration Network Scholarship: This scholarship is available to students who have sought refuge in the UK and are studying any undergraduate or postgraduate program.
Graduates of the MSc Data Analytics for Economics & Finance program from the University of Glasgow have excellent career prospects in various industries.
Data Analyst: Graduates can work as data analysts in financial institutions, government agencies, or consulting firms, analyzing economic and financial data to support decision-making processes.
Quantitative Analyst: Graduates can pursue roles as quantitative analysts, using advanced data analytics techniques to develop financial models, assess risk, and optimize investment strategies.
Econometrician: Graduates can work as econometricians, applying statistical modeling and econometric techniques to analyze economic data and generate insights for economic research and policy-making.
Financial Data Scientist: Graduates can work as data scientists in the financial industry, using their expertise in data analytics and finance to extract meaningful insights from financial datasets.
Research Economist: Graduates can work as research economists in academic institutions or think tanks, conducting research on economic and financial trends, and contributing to economic policy development.
Financial Consultant: Graduates can work as financial consultants, providing data-driven insights and recommendations to clients in areas such as investment management, risk analysis, and financial planning.
