Master of Science - Accounting
Aalto University’s Master of Science in Accounting program is de...
Bachelor of Science and Technology - Computational Engineering
Aalto
INTAKE: August
Program Overview
The Bachelor of Science and Technology in Computational Engineering at Aalto University is designed to provide students with a robust foundation in computational methods, mathematical modeling, and engineering applications. This interdisciplinary program focuses on solving complex engineering problems using computer simulations, algorithms, and data analysis. Students gain expertise in programming, numerical analysis, and the application of computational techniques to various fields, including mechanical, electrical, and civil engineering. The program prepares graduates to tackle challenges in industries such as automation, aerospace, automotive, and renewable energy, making it an ideal choice for those interested in engineering and computational technology.
Curriculum: The curriculum of the Computational Engineering program at Aalto University is carefully structured to equip students with a combination of theoretical knowledge and practical skills. The first phase of the program focuses on core subjects such as mathematics, physics, and basic programming, providing students with a solid understanding of the foundational principles that underpin computational engineering. As students progress, they take more specialized courses in numerical methods, computational fluid dynamics, artificial intelligence, machine learning, and optimization. The program also emphasizes hands-on learning through laboratory work, group projects, and industry collaborations, ensuring that students develop the skills needed to address real-world engineering challenges.
Research Focus: Aalto University’s research in Computational Engineering is cutting-edge and focuses on advancing computational tools and methods to solve complex engineering problems. Research areas include computational fluid dynamics (CFD), numerical simulations, high-performance computing, and the integration of machine learning with engineering applications. Students are encouraged to engage with these research initiatives, contributing to projects that focus on sustainable technologies, energy efficiency, and smart systems. The university’s strong research focus ensures that students stay at the forefront of computational innovation and can apply these advancements to industries like automotive, aerospace, and energy.
Industry Engagement: Aalto University fosters strong relationships with industry leaders in the fields of computational engineering and technology. Students in the Computational Engineering program benefit from access to real-world projects, internships, and industry collaborations, which help them develop practical skills and gain insights into current industry trends. The program is closely linked to sectors such as software development, robotics, aerospace, and engineering services, ensuring that students have opportunities to apply their learning in professional settings. Guest lectures, company visits, and partnerships with major technology companies further enhance students' exposure to the challenges and demands of the engineering industry.
Global Perspective: Aalto University provides a global perspective through its diverse student body, international research collaborations, and numerous opportunities for studying abroad. The Computational Engineering program is designed to prepare students for careers in a globalized world, offering opportunities for international exchange and internships. Through collaborations with universities and research institutions around the world, Aalto University ensures that students are exposed to the latest developments in computational engineering and gain the ability to work in cross-cultural teams. Graduates are well-prepared for careers in international companies and research organizations, making the program an excellent choice for those seeking a global career in engineering.
Location
Aalto
Score
Tuition Fee
€ 12000
Undergraduate Entry Requirements
Application Fee: €100
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS/TOEFL can be waived off. SAT is a mandatory requirement.
Standardized Test Requirements:
- Scholastic Assessment Test (SAT): Overall score of 1350 or higher.
Aalto University in Finland offers a variety of scholarships to support international students who wish to study at one of the leading universities in Europe. These scholarships are designed to alleviate the financial burden of tuition fees and help students focus on their studies while living in Finland.
Aalto University Tuition Fee Scholarships: Aalto University offers scholarships specifically for international students who are required to pay tuition fees. The scholarships cover either partial or full tuition fees for master’s degree students from non-EU/EEA countries. The scholarship amounts range from 50% to 100% of the tuition fee, depending on the applicant’s academic achievements. Scholarships are awarded based on the strength of the application and the applicant’s academic background.
Aalto University Scholarship for Living Expenses: While the primary focus of the scholarship program is to assist with tuition fees, some additional financial support is available for students to help cover living expenses. These scholarships are typically awarded to students who already receive a tuition fee scholarship but need further assistance to cover their living costs.
Graduates of the Bachelor of Science and Technology in Computational Engineering from Aalto University are well-equipped to pursue a variety of rewarding careers in engineering, technology, and research fields. With a deep understanding of computational methods, mathematical modeling, and software engineering, graduates are highly sought after across numerous industries.
Computational Engineer: Many graduates work as computational engineers, applying their knowledge of numerical methods and algorithms to solve complex engineering problems. These professionals work in industries such as aerospace, automotive, and energy, developing simulations and models to optimize systems, improve product designs, and analyze data.
Software Developer/Engineer: With their strong programming and software development skills, graduates often pursue careers as software developers or engineers. They design and build software solutions, ranging from simulation tools to enterprise applications, for industries such as tech, finance, and healthcare.
Data Scientist/Analyst: Graduates can transition into data science roles, leveraging their knowledge of machine learning, statistical modeling, and data analysis techniques to extract insights from large datasets. Data scientists are in demand across industries such as finance, healthcare, and technology, where they help organizations make data-driven decisions.
Machine Learning Engineer: With the increasing importance of artificial intelligence and machine learning in various sectors, graduates of computational engineering are well-positioned to become machine learning engineers. In this role, they design algorithms and models that enable computers to learn from data, with applications in industries like robotics, healthcare, and finance.
Researcher/Scientist: Some graduates pursue further studies and research careers, earning a Master's or Ph.D. in computational engineering, data science, or related fields. As researchers, they contribute to advancing the field by developing new computational models, improving simulations, and exploring innovative applications in engineering, sustainability, and technology.
Systems Engineer: Graduates can work as systems engineers, where they design and manage complex engineering systems, ensuring that all components function together efficiently. This role is common in industries such as aerospace, automotive, and manufacturing, where systems must operate reliably and safely.
Robotics Engineer: Robotics is a rapidly growing field, and computational engineering graduates are well-suited for roles in robotics engineering. They design, develop, and optimize robotic systems for a wide range of applications, from industrial automation to healthcare and autonomous vehicles.
Product Development Engineer: With their strong foundation in engineering principles and computational tools, graduates often take roles in product development. In this capacity, they are involved in designing new products, optimizing existing designs, and conducting simulations to test and refine prototypes.
Consultant: Many graduates choose to become consultants, providing expert advice on computational techniques, system optimization, and software development. Consultants work with companies to help them solve technical problems, improve efficiency, and innovate in their product development processes.
Entrepreneur/Start-up Founder: Equipped with the skills to design and develop technology-driven solutions, some graduates go on to start their own businesses or technology startups. Aalto University’s entrepreneurial ecosystem, including business incubators and networking opportunities, provides valuable support for graduates interested in launching their own ventures.
