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 is designed to develop students' expertise in computational thinking, problem-solving, and mathematical reasoning. Students explore a wide range of topics, from algorithms and data structures to calculus, linear algebra, and discrete mathematics. The program emphasizes the application of mathematical principles to solve complex computational problems and develop efficient software solutions. Through hands-on projects and coursework, students gain practical experience in programming, modeling, and analysis, preparing them for careers at the intersection of computer science and mathematics.

  1. Interdisciplinary Curriculum: The program offers a comprehensive curriculum that integrates computer science and mathematics. Students study foundational topics in both disciplines, including programming, algorithms, data analysis, calculus, probability, and statistics.

  2. Computational Problem Solving: Students learn to apply mathematical concepts to solve computational problems efficiently. They develop strong analytical and problem-solving skills, enabling them to tackle complex real-world challenges using computational methods.

  3. Advanced Programming Skills: The program emphasizes software development skills, including proficiency in programming languages such as Python, Java, and C++. Students gain hands-on experience in designing and implementing algorithms, data structures, and software systems.

  4. Mathematical Modeling: Students explore mathematical modeling techniques to analyze data, simulate systems, and optimize processes. They learn how to use mathematical tools to create predictive models and make informed decisions in diverse domains.

  5. Algorithm Design and Analysis: The curriculum covers advanced topics in algorithm design and analysis. Students study efficient algorithms for sorting, searching, graph theory, and computational geometry, gaining insights into computational complexity and optimization.

  6. Machine Learning and Data Science: The intersection of computer science and mathematics is crucial in emerging fields such as machine learning and data science. Students delve into topics related to artificial intelligence, data mining, and pattern recognition, learning to extract insights from large datasets.

  7. Research and Innovation: The program fosters a culture of research and innovation. Students have opportunities to participate in cutting-edge research projects and collaborate with faculty members on interdisciplinary initiatives.

Pollster Education

Location

Central Campus area,Kings Buildings campus

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

£ 34800

Undergraduate entry requirements:

  1. 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.  

  2. English Language Proficiency:  

    • IELTS (International English Language Testing System): Minimum overall score of 6.5, with no individual band score less than 6.0.

    • 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).

    • PTE (Pearson Test of English): Minimum overall score of 62, with no less than 54 in each component (Listening, Reading, Speaking, Writing).

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.  

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.


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