BSc Acoustics and Music Technology
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MSc Operational Research with Computational Optimization
The Kings Buildings Campus
INTAKE: September
Program Overview
The MSc Operational Research with Computational Optimization program at The University of Edinburgh is designed to provide students with advanced knowledge and skills in operational research and computational optimization techniques. Through a combination of theoretical coursework, practical exercises, and research projects, students learn how to apply mathematical modeling, algorithm design, and computational methods to solve complex optimization problems in various domains, including logistics, transportation, manufacturing, and finance. The program offers a comprehensive curriculum that covers topics such as linear programming, integer programming, network optimization, metaheuristic algorithms, and large-scale optimization, equipping students with the tools and techniques needed to address real-world optimization challenges. With a focus on interdisciplinary collaboration, critical thinking, and practical applications, the program prepares graduates for successful careers in industries where optimization methods are in high demand.
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Advanced Mathematical Modeling: Students learn how to formulate real-world problems as mathematical optimization models, representing decision variables, constraints, and objective functions in a rigorous mathematical framework. They gain proficiency in linear programming, integer programming, nonlinear optimization, and combinatorial optimization, mastering both theoretical concepts and practical modeling techniques.
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Computational Optimization Techniques: The program covers a wide range of computational optimization techniques, including exact methods, heuristic algorithms, and metaheuristic approaches. Students learn how to design and implement algorithms for solving optimization problems efficiently, using techniques such as dynamic programming, branch and bound, genetic algorithms, simulated annealing, and particle swarm optimization.
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Optimization Software and Tools: Students gain hands-on experience with optimization software and tools commonly used in industry and academia. They learn how to use optimization solvers, such as CPLEX, Gurobi, and MOSEK, to solve large-scale optimization problems, as well as programming languages and libraries, such as Python, MATLAB, and Julia, for algorithm development and implementation.
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Applications in Industry and Operations Management: The program emphasizes practical applications of optimization techniques in various industries and domains. Students work on case studies and projects that simulate real-world optimization challenges in areas such as supply chain management, production planning, scheduling, and logistics optimization, gaining insights into industry best practices and challenges.
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Research and Innovation: Students have the opportunity to engage in research projects and dissertations, where they apply optimization techniques to address cutting-edge research questions and challenges. They work closely with academic supervisors and industry partners to develop innovative solutions to complex optimization problems, contributing to advancements in the field of operational research and computational optimization.
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Interdisciplinary Collaboration and Communication Skills: The program emphasizes interdisciplinary collaboration and communication skills, encouraging students to work in teams and communicate their findings and recommendations effectively to diverse stakeholders. Students engage in group projects, presentations, and seminars, learning how to collaborate with professionals from different backgrounds and communicate technical concepts to non-technical audiences.
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
