Master of Science - Accounting
Aalto University’s Master of Science in Accounting program is de...
MSc in Technology - Mathematics and Operations Research
Aalto
INTAKE: August
Program Overview
The MSc in Technology - Mathematics and Operations Research at Aalto University is designed for individuals passionate about mathematical modeling, optimization, and applying advanced mathematical techniques to real-world problems. This program provides students with a comprehensive foundation in applied mathematics, analytics, and operations research, preparing them for careers in fields such as logistics, finance, management consulting, and technology development. Students will develop strong analytical skills, enhance problem-solving capabilities, and acquire in-depth knowledge of various mathematical tools that are highly relevant in both academia and industry.
Curriculum: The curriculum of the MSc in Technology - Mathematics and Operations Research focuses on equipping students with advanced knowledge in core areas such as optimization, stochastic processes, mathematical modeling, and decision-making techniques. Students are required to complete a mix of compulsory courses, electives, and a master’s thesis. Key courses include linear algebra, probability theory, statistical methods, game theory, and advanced algorithms. The program emphasizes practical learning through computational tools and software that help students apply theoretical concepts to complex real-world problems. Additionally, students are encouraged to choose electives that align with their individual research interests and career goals.
Research Focus: Aalto University is known for its innovative research, and the MSc in Technology - Mathematics and Operations Research program benefits from a rich research environment. The focus of research in this program lies in areas such as operations research, applied mathematics, machine learning, computational finance, and mathematical modeling. Faculty members and researchers at Aalto are involved in projects that solve real-world problems by developing new mathematical methods and technologies. Students have the opportunity to contribute to groundbreaking research, particularly in areas such as optimization for large-scale systems, algorithmic design, and mathematical approaches to data analytics.
Industry Engagement: Industry collaboration is a key component of the MSc in Technology - Mathematics and Operations Research program at Aalto University. The university has strong ties with global companies, especially those in sectors like finance, consulting, technology, and engineering. Through internships, collaborations with industry professionals, and applied projects, students gain valuable insights into the practical applications of their mathematical knowledge. Aalto also hosts regular industry events, networking opportunities, and guest lectures, enabling students to connect with potential employers and stay updated on emerging trends in their field. The university’s extensive alumni network further supports career development by providing mentorship and career guidance.
Global Perspective: Aalto University promotes a global outlook, and the MSc in Technology - Mathematics and Operations Research program is no exception. The university’s international reputation, diverse student body, and strategic partnerships with universities and research institutions worldwide ensure that students receive a globally competitive education. Many courses in the program are offered in English, making it accessible to international students. Additionally, students have the option to participate in exchange programs with partner universities and to engage in global research collaborations, further enhancing their understanding of global challenges in technology, mathematics, and operations research.
Location
Aalto
Score
Tuition Fee
€ 17000
Postgraduate Entry Requirements
Application Fee: €100
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 60% or above in their bachelor's degree.
English Language Proficiency:
- English language test waiver is applicable if the Bachelor's, Master's, Licentiate, or Doctoral degree is in English language.
Standardized Test Requirements:
- Graduate Record Examinations (GRE): Overall score of 315 or higher is required.
- Graduate Management Admission Test (GMAT): Overall score of 600 or higher is required.
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 MSc in Technology - Mathematics and Operations Research program from Aalto University are equipped with advanced skills in mathematical modeling, optimization, and data analysis. This diverse skill set opens doors to a wide range of career options across various industries.
Operations Research Analyst: Graduates can work as operations research analysts, applying mathematical models and optimization techniques to help organizations solve complex decision-making problems. Industries such as logistics, supply chain management, and manufacturing often seek professionals with expertise in operations research.
Data Scientist: With a strong foundation in statistical methods and machine learning, graduates can pursue careers as data scientists. In this role, they analyze large datasets to uncover trends, build predictive models, and provide data-driven insights to support business decisions.
Quantitative Analyst (Quant): In finance, especially within investment banks and hedge funds, graduates can work as quantitative analysts. They use their expertise in mathematics, probability, and optimization to create complex models for pricing, risk management, and portfolio optimization.
Consultant: Graduates are also well-suited for roles in consulting, particularly in firms that focus on management consulting, financial consulting, and technology consulting. Their ability to model complex systems and solve business problems using mathematical and computational methods is highly valued in this field.
Academic and Research Careers: For those interested in pursuing academia, the MSc program provides a solid foundation for doctoral studies. Graduates can pursue PhD programs in mathematics, operations research, computer science, or related fields, and contribute to cutting-edge research and development.
Software Engineer or Algorithm Developer: With expertise in algorithms and computational methods, graduates can work in software development roles, designing and implementing algorithms for optimization, machine learning, and data processing.
Logistics and Supply Chain Manager: Professionals with expertise in mathematical optimization are in demand in logistics and supply chain management. Graduates can work in roles such as supply chain managers, logistics planners, or inventory control specialists, where they apply their skills to optimize operations.
Technology and Engineering Companies: Graduates can also pursue roles in technology and engineering companies, particularly those focusing on applied mathematics, computational engineering, and algorithmic development for large-scale systems.
