MSc Statistics and Operational Research

Postgraduate entry requirements:

1. Academic Qualifications: Prospective postgraduate applicants to the University of Edinburgh are typically required to have achieved a minimum academic qualification of approximately 60%, based on their previous academic achievements and qualifications.  

2. English Language Proficiency:  

   • IELTS (International English Language Testing System): Minimum overall score of 6.5, with at least 6.0 in each component (Listening, Reading, Speaking, Writing).

   • TOEFL (Test of English as a Foreign Language): Minimum score of 100 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).

   • PTE (Pearson Test of English): Minimum overall score of 70, with at least 59 in each component (Listening, Reading, Speaking, Writing).

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 Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement. 

Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.

Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.

School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.

Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.

External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.

It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.

The MSc Statistics and Operational Research program at The University of Edinburgh opens up a plethora of career opportunities for graduates equipped with advanced analytical skills and a solid understanding of statistical methods and operational research techniques.  

1. Data Analyst: Graduates can pursue roles as data analysts, where they use statistical techniques to interpret and analyze data, uncover insights, and support decision-making processes. They may work in various industries such as finance, healthcare, marketing, retail, or technology, helping organizations derive actionable insights from data to drive business strategies and performance.

2. Operations Research Analyst: With expertise in optimization techniques and mathematical modeling, graduates can pursue careers as operations research analysts. They apply quantitative methods to optimize processes, improve efficiency, and solve complex problems in areas such as supply chain management, logistics, transportation, and manufacturing. They work closely with stakeholders to identify opportunities for cost reduction, resource allocation, and performance improvement.

3. Statistical Consultant: Graduates may work as statistical consultants, providing expert advice and guidance on statistical analysis and research design. They collaborate with researchers, policymakers, and businesses to design experiments, analyze data, and interpret results. They may also offer training workshops and seminars on statistical techniques and data analysis software.

4. Quantitative Analyst (Quant): Graduates with strong quantitative skills may pursue careers as quants in the finance industry. They develop mathematical models, algorithms, and trading strategies to analyze financial markets, manage risk, and optimize investment portfolios. They use statistical methods and computational techniques to forecast market trends, price securities, and develop trading algorithms.

5. Research Scientist: Graduates interested in academia or research-oriented careers may pursue roles as research scientists or academic researchers. They contribute to advancements in statistical methodology, operational research, and related fields through theoretical research, empirical studies, and interdisciplinary collaborations. They may work in universities, research institutes, government agencies, or private research organizations.

6. Project Manager: Graduates with strong analytical and problem-solving skills may transition into project management roles, where they oversee and coordinate complex projects involving statistical analysis, optimization, and decision support systems. They manage project timelines, budgets, and resources, ensuring successful project delivery and stakeholder satisfaction.

7. Data Scientist: Graduates with programming skills and expertise in data analysis may pursue careers as data scientists. They use advanced statistical techniques, machine learning algorithms, and big data technologies to extract insights from large datasets, build predictive models, and develop data-driven solutions to business challenges.

8. Policy Analyst: Graduates interested in public policy and governance may work as policy analysts, where they apply statistical and operational research methods to inform evidence-based policymaking. They conduct policy evaluations, impact assessments, and cost-benefit analyses to assess the effectiveness of policies and interventions in addressing societal issues.