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The University of Edinburgh, a prestigious institution in the United Kingdom, offers a ...
MSc Operational Research with Computational Optimization
The Kings Buildings Campus
INTAKE: September
Program Overview
The MSc in Operational Research with Computational Optimization is designed to provide students with the essential tools and knowledge to approach complex decision-making problems in a structured and analytical way. The program focuses on optimization techniques and computational models, aiming to improve operational systems, enhance efficiency, and support strategic decision-making. Students will learn how to develop, analyze, and implement optimization algorithms, computational models, and analytical techniques to solve a wide range of practical problems. With a solid foundation in both operational research and computational optimization, this program equips graduates with the skills needed to work in industries such as finance, supply chain management, healthcare, energy, and transportation.
Curriculum: The curriculum of the MSc in Operational Research with Computational Optimization provides a balanced and comprehensive mix of theoretical knowledge and practical application. Core modules cover key topics such as optimization theory, mathematical modeling, decision analysis, stochastic processes, computational algorithms, and data analysis. Students will also explore advanced topics such as network optimization, integer programming, machine learning for optimization, and simulation modeling. The program emphasizes hands-on learning, with opportunities to apply computational optimization techniques to real-world problems through case studies and projects. In addition, students will have the opportunity to tailor their learning by choosing elective modules in areas such as operations management, supply chain analytics, or financial optimization. The dissertation is an integral part of the program, allowing students to undertake independent research and apply their knowledge to a specific problem in operational research or computational optimization.
Research Focus: The University of Edinburgh is a leader in research across various fields, including operational research, computational optimization, and applied mathematics. The MSc in Operational Research with Computational Optimization is closely aligned with the university’s ongoing research initiatives in optimization algorithms, computational models, and their applications across different industries. Research in the field focuses on developing new optimization methods, improving algorithmic efficiency, and applying computational techniques to complex decision-making problems. Key areas of research include large-scale optimization problems, data-driven optimization, machine learning techniques for optimization, and optimization in real-time systems. Students in the program have the opportunity to collaborate with faculty members on cutting-edge research projects, contributing to the development of innovative solutions to operational challenges.
Industry Engagement: The MSc in Operational Research with Computational Optimization offers strong industry engagement, ensuring that students gain practical experience in applying theoretical knowledge to real-world challenges. The University of Edinburgh has established relationships with a wide range of industries, including finance, healthcare, logistics, manufacturing, and energy, providing students with opportunities for internships, placements, and collaborative projects. Through these engagements, students can work on real operational problems, develop practical solutions, and gain insights into how computational optimization techniques are used in industry. The program also features guest lectures, seminars, and workshops with industry experts, helping students build a professional network and stay up-to-date with the latest trends and developments in the field of operational research and optimization. Industry connections also increase employability and offer pathways to future career opportunities.
Global Perspective: The MSc in Operational Research with Computational Optimization offers a global perspective, addressing the international nature of modern operational challenges. The program explores how optimization and computational methods are applied in diverse global contexts, including supply chain management across different regions, optimization in international finance, and global logistics operations. Students will also engage with case studies from both developed and developing countries, examining how operational research and optimization techniques are tailored to meet the unique needs and constraints of different regions. The university’s international research collaborations and partnerships with global organizations further enhance the global learning experience, ensuring that students gain exposure to a wide range of operational research applications worldwide. The diverse student body at Edinburgh, representing various cultures and backgrounds, also adds to the global perspective of the program.
Location
The Kings Buildings Campus
Score
IELTS: 6.5
Tuition Fee
£ 29900
Postgraduate entry requirements:
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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.
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English Language Proficiency:
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IELTS (International English Language Testing System): Minimum overall score of 6.5, with at least 6.0 in each component (Listening, Reading, Speaking, Writing).
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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).
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PTE (Pearson Test of English): Minimum overall score of 70, with at least 59 in each component (Listening, Reading, Speaking, Writing).
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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.
Graduates of the MSc Operational Research with Computational Optimization program at The University of Edinburgh are well-positioned for diverse and rewarding career opportunities in industries where optimization methods are in high demand. With their advanced knowledge of operational research, computational optimization techniques, and practical problem-solving skills, graduates are equipped to make a significant impact in various sectors, including logistics, transportation, manufacturing, finance, and healthcare.
Operations Research Analyst: Graduates can pursue careers as operations research analysts, working for consulting firms, government agencies, or large corporations. They apply mathematical modeling, optimization techniques, and computational methods to help organizations improve their operational efficiency, reduce costs, and make better strategic decisions.
Optimization Specialist: Graduates may work as optimization specialists, focusing on developing and implementing optimization algorithms and techniques to solve complex problems in specific domains such as supply chain management, production planning, scheduling, and resource allocation.
Data Scientist/Analytics Manager: Graduates with expertise in computational optimization and data analytics can pursue careers as data scientists or analytics managers, working for tech companies, startups, or large organizations. They analyze large datasets, develop predictive models, and derive actionable insights to support business decision-making and drive innovation.
Supply Chain Manager/Logistics Analyst: Graduates may work in supply chain management or logistics roles, optimizing supply chain networks, managing inventory levels, and coordinating logistics operations. They use optimization models and simulation techniques to minimize transportation costs, reduce lead times, and improve overall efficiency in logistics operations.
Financial Engineer/Quantitative Analyst: Graduates with strong quantitative skills can pursue careers in finance as financial engineers or quantitative analysts. They develop mathematical models, conduct financial analysis, and assess investment opportunities, using optimization techniques and risk management strategies to inform investment decisions and portfolio management.
Research Scientist/Academic Researcher: Graduates interested in research and academia can pursue careers as research scientists or academic researchers, conducting cutting-edge research in the field of operational research and computational optimization. They may work in academic institutions, research laboratories, or industry research centers, exploring new algorithms, methodologies, and applications in optimization.
Operations Manager/Project Manager: Graduates may work in operations management or project management roles, overseeing complex projects and operations in various industries. They apply optimization techniques to project planning, scheduling, and resource allocation, ensuring that projects are completed on time, within budget, and according to quality standards.
Government Policy Analyst/Policy Advisor: Graduates may work in government agencies or public sector organizations as policy analysts or policy advisors, providing evidence-based analysis and recommendations to inform policy-making and public sector decision-making. They use operational research methods to address policy challenges in areas such as transportation, healthcare, energy, and environmental sustainability.
