BSc (Econ)(Hons) Economics, Finance and Management
Spanning three years, with options to extend to four or five years to include a year ab...
MSc Computational Engineering
Mile End
INTAKE: September
Program Overview
The MSc in Computational Engineering focuses on the application of computational techniques to real-world engineering challenges. Students will gain a deep understanding of the mathematical models, numerical methods, and computational tools used to solve engineering problems. The program aims to bridge the gap between theory and practice, ensuring that students are equipped to handle complex simulations, analyze large datasets, and optimize engineering designs. With a strong emphasis on both the theoretical foundations and practical application, the program prepares graduates for careers in research, industry, and academia.
Curriculum: The curriculum includes core modules such as "Computational Fluid Dynamics," "Finite Element Analysis," "Computational Mechanics," and "High-Performance Computing." Students will also have the opportunity to specialize in specific areas, such as machine learning for engineering, optimization techniques, and advanced numerical methods. The program combines lectures, tutorials, and hands-on lab work to ensure that students develop both the theoretical understanding and practical skills required for computational engineering. The program culminates in a dissertation project, allowing students to apply their learning to a real-world engineering problem.
Research Focus: Queen Mary University of London is known for its cutting-edge research in engineering and computational sciences. The MSc in Computational Engineering program allows students to engage with ongoing research in areas such as fluid dynamics, structural analysis, and computational mechanics. Faculty members are involved in high-impact research, and students can contribute to these projects, gaining valuable research experience. The program encourages students to develop innovative solutions to complex engineering problems, preparing them for careers in research or advanced engineering roles.
Industry Engagement: The program has strong ties with industry, providing students with opportunities to collaborate with leading engineering firms, participate in internships, and attend industry seminars and workshops. Queen Mary University of London has established relationships with major companies in sectors such as aerospace, automotive, and energy, ensuring that students have access to real-world case studies and networking opportunities. These engagements help students bridge the gap between academic learning and industry practice, enhancing their career prospects.
Global Perspective: The MSc in Computational Engineering at Queen Mary University of London adopts a global perspective, with an international student body and faculty expertise in a wide range of engineering disciplines. The program covers global engineering challenges, such as sustainable energy solutions, climate change modeling, and the development of new technologies. Students will have the opportunity to learn from peers with diverse backgrounds, engaging in cross-cultural exchanges that enrich their understanding of global engineering practices.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 26750
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 6.0.
- TOEFL: A minimum overall score of 92, with at least with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 71 with 65 in Writing, and 59 in Reading, Listening and Speaking..
- 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.
Queen Mary University of London offers a range of scholarships and bursaries to its students.
Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.
Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
The MSc Computational Engineering program opens up a wide range of exciting career opportunities for graduates, where they can apply their computational skills to tackle engineering problems across various industries.
Simulation Engineer: Graduates can work as simulation engineers, using computational methods to model and simulate complex engineering systems, optimizing performance and efficiency.
Structural Analyst: Graduates may become structural analysts, assessing the integrity and safety of structures through computational modeling and analysis.
Fluid Dynamics Specialist: Graduates with expertise in computational fluid dynamics can pursue roles focused on analyzing and optimizing fluid flow in engineering applications.
Data Analyst: Graduates can apply their skills in data analysis to engineering datasets, extracting insights to drive informed decision-making.
Research Scientist: Graduates may contribute to research and development projects, applying computational techniques to advance engineering knowledge and innovation.
Consultant: Graduates can offer consultancy services to industries seeking solutions to complex engineering challenges using computational methods.
Automotive Engineer: Graduates may work in the automotive sector, utilizing computational tools to enhance vehicle design, safety, and performance.
Aerospace Engineer: Graduates can pursue roles in aerospace engineering, contributing to the design and analysis of aircraft and spacecraft using computational simulations.
Energy Analyst: Graduates with a focus on computational engineering for energy applications can contribute to renewable energy projects, optimizing systems for maximum efficiency.
Further Studies: Graduates may choose to pursue doctoral studies (PhD) for advanced research and specialization in computational engineering fields.
