BSc (Hons) Applied & Computational Mathematics

Dublin

 

INTAKE: September

Program Overview

The BSc (Hons) Applied & Computational Mathematics program at University College Dublin (UCD) in Ireland is designed to equip students with the mathematical skills and computational techniques necessary to solve complex problems in various fields, including science, engineering, finance, and technology. This undergraduate degree program provides students with a solid foundation in mathematical theory, combined with practical applications in computational mathematics.

Curriculum: UCD's BSc (Hons) Applied & Computational Mathematics curriculum covers a wide range of mathematical topics, including calculus, linear algebra, differential equations, probability theory, and numerical methods. Students also learn programming languages such as Python, MATLAB, and R, enabling them to implement mathematical algorithms and models in computer simulations and data analysis projects. The curriculum emphasizes hands-on learning experiences, with opportunities for students to engage in project-based coursework, internships, and research projects.

Research Focus: The BSc (Hons) Applied & Computational Mathematics program at UCD emphasizes research-led teaching, encouraging students to apply mathematical concepts and computational techniques to real-world problems. Students have the opportunity to work on research projects with faculty members or industry partners, exploring topics such as mathematical modeling, optimization, data science, and scientific computing. Research opportunities may also include participating in interdisciplinary research collaborations with other departments or institutions.

Industry Engagement: UCD collaborates closely with industry partners in various sectors, including technology, finance, healthcare, and engineering, to provide students with valuable industry engagement opportunities. Through internships, work placements, and industry-sponsored projects, students gain practical experience and insights into applying mathematical and computational methods in professional settings. Industry partnerships also facilitate guest lectures, workshops, and networking events, connecting students with professionals and experts in applied mathematics and related fields.

Global Perspective: The BSc (Hons) Applied & Computational Mathematics program at UCD promotes a global perspective by exploring mathematical and computational problems from international and interdisciplinary perspectives. Students learn about mathematical techniques used in different countries and cultures, as well as their applications in addressing global challenges such as climate change, energy sustainability, and public health. UCD's international partnerships and exchange programs offer students the opportunity to collaborate with researchers and students from around the world, gaining insights into diverse mathematical approaches and perspectives.

Pollster Education

Location

Dublin

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

€ 29100

Undergraduate Entry Requirements 

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 75% or above in their previous academic qualifications.

English Language Proficiency:

  • IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.
  • TOEFL: Overall score of 90 with a minimum of 19 in each section.
  • PTE: Overall score of 63 with a minimum of 59 in each section.
  • DET: Overall score of 120 with no section score below 110 is required.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.

UCD offers various scholarships and financial aid options specifically designed to support international students pursuing their education at the university. These scholarships aim to recognize academic excellence, promote diversity, and alleviate the financial burden for deserving students. 

UCD Global Excellence Graduate Scholarship: This merit-based scholarship is awarded to high-achieving international students applying for eligible full-time master's programs. It covers a percentage of the tuition fees for the duration of the program.

UCD Global Undergraduate Scholarship: Intended for non-EU students, this scholarship is based on academic performance and offers financial assistance towards tuition fees for the duration of undergraduate studies.

UCD Ad Astra Academic Scholarship: This prestigious scholarship is awarded to outstanding students with exceptional academic achievements and offers financial support along with enrichment opportunities.

Sports Scholarships: For students who excel in sports, UCD offers scholarships to support their academic pursuits while actively participating in sports at a competitive level.

Government and External Scholarships: UCD collaborates with various governments, organizations, and foundations worldwide to offer additional scholarship opportunities for international students based on specific criteria and partnerships.

Graduates of the BSc (Hons) Applied & Computational Mathematics program at University College Dublin (UCD) have a wide range of career opportunities available to them in various sectors that require strong mathematical and computational skills.

Data Scientist/Analyst: Data scientists or analysts work for companies in industries such as finance, healthcare, technology, and marketing, analyzing large datasets to extract insights and inform decision-making. They use mathematical and computational techniques to develop predictive models, perform statistical analysis, and visualize data.

Financial Analyst/Quantitative Analyst: Financial analysts or quantitative analysts work in the finance industry, using mathematical models and computational methods to analyze financial markets, assess investment opportunities, and manage risk. They may work for investment banks, hedge funds, or asset management firms, developing trading strategies and financial products.

Software Engineer/Developer: Software engineers or developers design and create software applications and systems for various purposes, including scientific simulations, data processing, and algorithm development. They use mathematical principles and computational tools to write code, optimize algorithms, and solve complex problems in software development.

Research Scientist: Research scientists work in research institutions, government agencies, or private companies, conducting scientific research in fields such as physics, biology, engineering, or environmental science. They use mathematical and computational methods to model physical phenomena, analyze experimental data, and develop theoretical frameworks.

Machine Learning Engineer: Machine learning engineers work on artificial intelligence (AI) and machine learning projects, developing algorithms and systems that can learn from data and make predictions or decisions. They apply mathematical and computational techniques to train machine learning models, optimize performance, and deploy solutions in real-world applications.

Operations Research Analyst: Operations research analysts work for organizations in industries such as logistics, manufacturing, and transportation, optimizing processes and systems to improve efficiency and decision-making. They use mathematical modeling and computational methods to solve optimization problems, allocate resources, and streamline operations.

Actuary: Actuaries work in insurance companies, pension funds, and financial institutions, assessing risk and uncertainty to help organizations make informed decisions. They use mathematical models and statistical methods to analyze data, forecast future events, and calculate insurance premiums or pension obligations.

Consultant: Consultants work for consulting firms, advising clients in various industries on business strategy, operations, and performance improvement. Those with a background in applied and computational mathematics can provide expertise in data analysis, optimization, and modeling to help clients solve complex problems and achieve their objectives.


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