MSc Finance
Cranfield University's MSc Finance program is designed to equip students with advan...
Cranfield-Cranfield University
INTAKE: September
Cranfield University offers an MSc in Computational and Software Techniques in Engineering, which includes a specialization in Software Engineering for Technical Computing. This program aims to equip students with the technical skills and knowledge required to develop and apply advanced computational and software techniques in engineering.
The program covers a range of topics, including computational modelling and simulation, numerical methods, software engineering, programming, and data analytics. The Software Engineering for Technical Computing option focuses specifically on the development of software for technical computing applications, such as engineering design, optimization, and analysis.
The program is designed for students with a background in engineering, mathematics, computer science, or a related field. It can be completed in one year full-time or two years part-time, with a variety of optional modules available to tailor the program to individual interests and career aspirations.
Cranfield University is a world-renowned institution with a strong focus on research and industry collaboration. The university has extensive links with industry partners, and students on the MSc in Computational and Software Techniques in Engineering have the opportunity to work on real-world engineering problems through group projects and individual research projects.
Graduates from the program are well-equipped to pursue careers in a range of industries, including aerospace, automotive, defence, energy, and software development. They may work as software engineers, data analysts, simulation and modelling specialists, or in research and development roles. Some graduates also choose to pursue further academic study through a PhD program.
Cranfield-Cranfield University
IELTS: 6.5
£ 26580
Postgraduate Entry Requirements:
Students must provide:
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
Cranfield University offers a variety of scholarships and bursaries to help students fund their studies. These scholarships are open to both UK and international students and are awarded based on a variety of factors, such as academic merit, financial need, and professional experience.
It is important to note that eligibility criteria, application requirements, and award amounts vary for each scholarship and bursary.
The MSc in Computational and Software Techniques in Engineering with the Software Engineering for Technical Computing option at Cranfield University, UK, offers students a specialized program focusing on the application of computational and software techniques in engineering.
Software Engineer: Graduates can pursue careers as software engineers, developing and maintaining software solutions for engineering applications. They can work in industries such as automotive, aerospace, energy, and manufacturing, designing and implementing software systems to solve complex engineering problems.
Computational Engineer: Graduates can work as computational engineers, utilizing advanced computational techniques and algorithms to model and simulate engineering systems. They can contribute to the development of computational models, perform numerical simulations, and analyze the results to optimize engineering designs and processes.
Research and Development: Graduates can engage in research and development activities in both academic and industrial settings. They can work on innovative projects, exploring new computational and software techniques to solve engineering challenges. Their expertise in software engineering and computational modeling can contribute to advancements in various engineering fields.
Data Scientist: Graduates with a focus on data analysis and machine learning techniques can pursue careers as data scientists. They can apply their knowledge of computational and software techniques to analyze large datasets, extract insights, and develop predictive models for engineering applications.
Technical Consultant: Graduates can work as technical consultants, providing expertise in software engineering and computational techniques to clients in engineering industries. They can assist in selecting and implementing software solutions, optimizing engineering workflows, and providing technical support and training.
Engineering Project Manager: Graduates can pursue careers in project management, overseeing engineering projects that involve software development and computational modeling. They can manage project timelines, budgets, and resources, ensuring successful implementation and delivery of software-based engineering solutions.
Software Quality Assurance Engineer: Graduates can work as software quality assurance engineers, ensuring the reliability, performance, and security of engineering software systems. They can develop testing methodologies, perform software testing and debugging, and implement quality control measures to ensure the software meets industry standards.
Academic and Teaching Positions: Graduates interested in academia can pursue research or teaching positions at universities and research institutions. They can contribute to the academic field by conducting research, publishing papers, and teaching courses related to software engineering and computational techniques in engineering.
Entrepreneurship and Startups: Graduates with an entrepreneurial mindset can establish their own software engineering or computational engineering startups. They can develop innovative software solutions, provide consulting services, or create specialized tools for engineering applications.
Continued Education: Graduates may choose to pursue further education, such as a Ph.D., to deepen their knowledge and expertise in specific areas of computational and software techniques in engineering. This can lead to research-oriented careers in academia or specialized roles in industries.