MSc Computational Engineering

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. 

1. 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.
2. 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.
3. 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. 

1. Simulation Engineer: Graduates can work as simulation engineers, using computational methods to model and simulate complex engineering systems, optimizing performance and efficiency.

2. Structural Analyst: Graduates may become structural analysts, assessing the integrity and safety of structures through computational modeling and analysis.

3. Fluid Dynamics Specialist: Graduates with expertise in computational fluid dynamics can pursue roles focused on analyzing and optimizing fluid flow in engineering applications.

4. Data Analyst: Graduates can apply their skills in data analysis to engineering datasets, extracting insights to drive informed decision-making.

5. Research Scientist: Graduates may contribute to research and development projects, applying computational techniques to advance engineering knowledge and innovation.

6. Consultant: Graduates can offer consultancy services to industries seeking solutions to complex engineering challenges using computational methods.

7. Automotive Engineer: Graduates may work in the automotive sector, utilizing computational tools to enhance vehicle design, safety, and performance.

8. Aerospace Engineer: Graduates can pursue roles in aerospace engineering, contributing to the design and analysis of aircraft and spacecraft using computational simulations.

9. Energy Analyst: Graduates with a focus on computational engineering for energy applications can contribute to renewable energy projects, optimizing systems for maximum efficiency.

10. Further Studies: Graduates may choose to pursue doctoral studies (PhD) for advanced research and specialization in computational engineering fields.