BSc Acoustics and Music Technology
The University of Edinburgh, a prestigious institution in the United Kingdom, offers a ...
BSc Computer Science and Mathematics
Central Campus area,Kings Buildings campus
INTAKE: September
Program Overview
The BSc Computer Science and Mathematics program at the University of Edinburgh offers a dynamic and rigorous education, combining the analytical and theoretical aspects of mathematics with the practical and computational skills of computer science. This interdisciplinary program is designed for students who are passionate about solving complex problems and developing innovative technologies. By blending the mathematical foundations of algorithms, statistics, and logic with the principles of computer programming, software engineering, and artificial intelligence, the program equips students with the versatility and expertise needed to excel in a wide range of careers in technology, data science, research, and beyond. Graduates from this program are highly sought after for their strong problem-solving skills and ability to apply mathematical theories to real-world computing challenges.
Curriculum: The curriculum for the BSc Computer Science and Mathematics program at the University of Edinburgh provides a solid foundation in both disciplines, with students gaining an in-depth understanding of core mathematical and computational concepts. In the first year, students engage with core topics in programming, computer systems, algorithms, and discrete mathematics, alongside fundamental mathematics courses in areas such as calculus, linear algebra, and mathematical reasoning. In the second and third years, the curriculum deepens, offering specialized modules in topics like algorithm design, machine learning, probability theory, optimization, and computational mathematics. Students also learn essential software development techniques and gain experience in programming languages such as Python, C++, and Java. The program emphasizes practical, hands-on experience, with students working on individual projects, group work, and problem-solving exercises that integrate both mathematical and computing principles. In the final year, students undertake a substantial individual project that allows them to apply their mathematical and computer science skills to an advanced research or development topic. Elective modules offer opportunities to specialize in areas such as cryptography, artificial intelligence, data science, and computational biology, providing students with the flexibility to tailor their studies to their interests and career goals.
Research Focus: The University of Edinburgh is globally recognized for its research excellence, and students in the BSc Computer Science and Mathematics program benefit from the university's cutting-edge research initiatives. The program is closely linked with the university’s renowned School of Informatics and School of Mathematics, both of which conduct world-class research in areas such as machine learning, artificial intelligence, computational mathematics, cryptography, and optimization. Students are encouraged to engage with research projects, allowing them to explore innovative applications of mathematics and computer science in fields ranging from data science and algorithmic theory to computational biology and finance. The strong research focus fosters a deep understanding of how computational techniques and mathematical models can be used to solve complex, real-world problems. Additionally, students are encouraged to develop independent thinking, critical analysis, and advanced problem-solving skills through exposure to cutting-edge theories and methodologies in both disciplines.
Industry Engagement: The BSc Computer Science and Mathematics program at the University of Edinburgh has strong links with industry, providing students with ample opportunities to apply their academic learning in real-world settings. Edinburgh is located in a thriving tech hub, home to numerous tech companies, startups, and multinational organizations. The program encourages students to gain practical experience through internships, work placements, and collaborative industry projects, which allow them to develop essential professional skills and gain a competitive edge in the job market. The university also offers networking events, career fairs, and industry-focused seminars, providing students with opportunities to connect with leading companies in the fields of technology, finance, consulting, and research. These industry connections ensure that students are well-prepared for successful careers in data science, software development, research, and many other sectors that require a combination of computing and mathematical expertise.
Global Perspective: The BSc Computer Science and Mathematics program at the University of Edinburgh is designed with a global perspective in mind, recognizing that both computer science and mathematics are fundamental to solving international challenges. The program provides students with a comprehensive understanding of how technology and mathematical modeling are applied across the globe, from improving financial systems to addressing global health issues through data analysis. The university’s diverse student body and global research collaborations enrich the learning experience, allowing students to gain insights from peers and academics from around the world. Additionally, the program offers opportunities for students to study abroad, engage in international research collaborations, and participate in exchange programs with partner institutions. This international exposure helps students develop a global mindset, ensuring they are prepared to work in global teams and navigate the complexities of international technological and mathematical challenges.
Location
Central Campus area,Kings Buildings campus
Score
IELTS: 6.5
Tuition Fee
£ 34800
Undergraduate entry requirements:
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Academic Qualifications: Prospective undergraduate applicants to the University of Edinburgh are expected to demonstrate strong academic performance in their secondary education or equivalent qualifications. The typical academic requirement for entry is approximately 80%, calculated based on the applicant's secondary school grades or examination results.
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English Language Proficiency:
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IELTS (International English Language Testing System): Minimum overall score of 6.5, with no individual band score less than 6.0.
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TOEFL (Test of English as a Foreign Language): Minimum score of 92 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).
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PTE (Pearson Test of English): Minimum overall score of 62, with no less than 54 in each component (Listening, Reading, Speaking, Writing).
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Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
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.
The University of Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement.
Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.
Edinburgh Global Undergraduate Scholarships: These scholarships are available to overseas undergraduate students applying for full-time programs at the university. The scholarships cover a portion of the tuition fees for the duration of the undergraduate program.
Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.
School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.
Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.
External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.
It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.
The BSc Computer Science and Mathematics program at the University of Edinburgh prepares graduates for a wide range of rewarding career opportunities due to its interdisciplinary nature and the strong foundational skills it imparts.
Software Development Engineer: Graduates can pursue roles as software engineers, developing innovative solutions for software applications, systems, and platforms. Their strong programming skills, combined with mathematical reasoning, enable them to design efficient algorithms and implement complex software systems.
Data Scientist: With expertise in mathematics and computational methods, graduates are well-suited for roles in data science. They can analyze large datasets, apply statistical techniques, and develop machine learning models to extract insights and support data-driven decision-making in various industries such as healthcare, finance, and technology.
Quantitative Analyst (Quant): Financial institutions seek graduates with a background in computer science and mathematics for roles in quantitative finance. Quants develop mathematical models, algorithms, and strategies for pricing financial products, managing risk, and optimizing investment portfolios.
Systems Analyst: Graduates can work as systems analysts, specializing in the design, implementation, and optimization of information systems. Their understanding of both computational principles and mathematical modeling equips them to solve complex problems in IT environments.
Research Scientist: Opportunities exist in research institutions and laboratories where graduates can conduct interdisciplinary research at the intersection of computer science and mathematics. They may focus on areas such as cryptography, computational biology, or scientific computing.
Algorithm Specialist: Graduates can specialize in algorithm design and analysis, working on optimizing algorithms for specific applications such as network optimization, computational biology, or computer graphics.
Consultant: Consulting firms value the problem-solving abilities of graduates with expertise in computer science and mathematics. They may provide advisory services to businesses on technology strategy, data analytics, or optimization.
Entrepreneur/Startup Founder: Some graduates choose to leverage their skills to launch their own tech startups, developing innovative products or services that address specific market needs.
Academic and Research Careers: The program also provides a strong foundation for further academic study and research in computer science, mathematics, or related fields. Graduates may pursue advanced degrees (Masters or PhD) and contribute to cutting-edge research in academia.
Industry Sectors: Graduates are sought after by diverse industries, including technology, finance, healthcare, telecommunications, and academia, where their analytical skills and problem-solving abilities are highly valued.
