MA English Literature
The MA in English Literature at the University of Reading offers a comprehensive and im...
BSc Mathematics with Computer Science
Reading
INTAKE: September
Program Overview
The BSc Mathematics with Computer Science program at the University of Reading is designed for students who wish to combine the logical rigor and problem-solving aspects of mathematics with the practical application of computer science. This interdisciplinary program provides students with a solid foundation in both fields, offering an understanding of mathematical principles, algorithms, and the computational techniques necessary for solving complex problems in the digital age. The program prepares graduates for a wide range of careers in technology, finance, data science, artificial intelligence, and research, equipping them with the skills to excel in industries where both mathematical expertise and computing knowledge are essential.
Curriculum: The curriculum for the BSc Mathematics with Computer Science program at the University of Reading is designed to provide students with a strong grounding in both subjects, with opportunities for specialization as they progress. In the first year, students are introduced to core topics in mathematics, including calculus, algebra, and discrete mathematics, along with foundational computer science concepts such as programming, algorithms, and data structures. As students advance in their studies, they explore more specialized areas, such as advanced mathematics, mathematical modeling, probability theory, and computational complexity, alongside computer science topics like software engineering, databases, and web development. In the final year, students have the flexibility to choose electives from areas like artificial intelligence, machine learning, data science, and cryptography, allowing them to tailor the program to their career aspirations. The curriculum is designed to emphasize both the theoretical underpinnings of mathematics and the practical, hands-on experience needed in computer science.
Research Focus: The University of Reading is recognized for its strong emphasis on research, and the BSc Mathematics with Computer Science program benefits from this research-led teaching approach. Faculty members are involved in cutting-edge research in areas such as applied mathematics, computational mathematics, data science, artificial intelligence, and machine learning. Students have the opportunity to engage with the latest advancements in these fields, participating in research projects or collaborating with faculty members. The research focus also extends to interdisciplinary work, where mathematics is applied to real-world problems in computer science, engineering, and business. This provides students with exposure to both theoretical and applied research, offering a deeper understanding of how mathematical principles can be used to solve complex problems in computing and other industries.
Industry Engagement: The University of Reading’s strong connections with industry ensure that students in the BSc Mathematics with Computer Science program have access to valuable opportunities for industry engagement. Students can gain practical experience through internships, work placements, and collaborative projects with industry partners, allowing them to apply their mathematical and computing skills to real-world challenges. The university’s partnerships with leading companies across a variety of sectors, such as finance, technology, and engineering, help students build professional networks and gain insight into industry practices. In addition, the university hosts career fairs, employer presentations, and workshops, providing students with direct exposure to potential employers. Industry engagement is a key component of the program, helping students to develop the practical skills that will be valuable in their future careers.
Global Perspective: The BSc Mathematics with Computer Science program at the University of Reading offers students a global perspective, with an emphasis on understanding how mathematics and computer science intersect in a global context. The program covers topics that have wide-reaching applications across industries and geographies, including data analytics, artificial intelligence, and cryptography, which are increasingly relevant in today’s globalized world. The university’s diverse student body, with individuals from various cultural and professional backgrounds, creates an international learning environment that fosters global collaboration and the exchange of ideas. Furthermore, the University of Reading offers opportunities for international placements, study abroad programs, and collaborations with global institutions, allowing students to gain an international perspective on the application of mathematics and computer science in different contexts.
Location
Reading
Score
IELTS 6.5
Tuition Fee
£ 29950
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 88.
- PTE Academic: A minimum overall score of 69.
- DET Academic: A minimum overall score of 125.
- Some programs may have specific subject prerequisites or additional requirements.
The University of Reading offers a variety of scholarships for international students to support academic excellence and financial needs.
Vice-Chancellor Global Scholarship Award: Merit-based scholarship for high-achieving international students. Covers partial tuition fees for undergraduate and postgraduate programs.
Subject-Specific Scholarships: Offered by individual departments based on academic excellence and course selection. Examples include scholarships in Business, Law, Agriculture, and Science.
Chevening Scholarships: A UK government-funded scholarship for outstanding students from eligible countries. Covers tuition fees, living expenses, and travel costs.
Country-Specific Scholarships: Scholarships tailored for students from specific countries, including India, China, and the USA. Criteria vary based on nationality and academic performance.
Graduating with a BSc in Mathematics with Computer Science from the University of Reading opens the door to a broad range of career opportunities that blend the precision of mathematics with the practical applications of computer science. This interdisciplinary program equips students with strong analytical, problem-solving, and programming skills, making them highly sought after in various industries, including finance, technology, data science, artificial intelligence, and more.
Data Scientist/Analyst: A popular career option for graduates with a BSc in Mathematics with Computer Science is data science or data analysis. Data scientists work with large datasets to extract valuable insights, build predictive models, and help organizations make data-driven decisions. They apply statistical techniques, machine learning algorithms, and data visualization tools to interpret complex data. With a strong background in mathematics, including probability theory and statistical analysis, combined with their computing skills, graduates can pursue roles in industries such as finance, healthcare, retail, and technology.
Software Developer/Engineer: Software development is one of the most in-demand fields for computer science graduates, and those with a background in mathematics are particularly well-suited for this role. Software developers design, build, and maintain applications, systems, and websites, ensuring they are efficient, functional, and user-friendly. Graduates with strong skills in algorithms, programming languages, and logical problem-solving can work in diverse sectors such as gaming, finance, education, and e-commerce. The BSc Mathematics with Computer Science program provides a solid foundation in both the theory and practice of software development.
Quantitative Analyst (Quant): For those interested in finance, the role of a quantitative analyst, often referred to as a "quant," is a compelling career choice. Quants use advanced mathematical models, statistical analysis, and computer programming to analyze financial markets, assess risk, and develop trading strategies. Their work involves creating complex algorithms and simulations to predict market behavior and optimize financial investments. The mathematics background from the program is particularly valuable in this field, where skills in probability, statistics, and optimization are crucial.
Machine Learning Engineer: Machine learning is a rapidly growing field within artificial intelligence (AI), and machine learning engineers design algorithms that enable computers to learn from and make decisions based on data. Graduates of the BSc Mathematics with Computer Science program are well-equipped to pursue careers in machine learning, as they possess the strong mathematical and computational skills required for developing and fine-tuning machine learning models. This field has wide applications in industries such as healthcare, finance, autonomous vehicles, and entertainment.
Cybersecurity Analyst/Specialist: As the world becomes increasingly digital, the need for cybersecurity professionals to protect systems and data from cyber threats continues to grow. Cybersecurity analysts or specialists identify vulnerabilities, implement security measures, and develop strategies to safeguard an organization’s digital infrastructure. The BSc Mathematics with Computer Science program’s focus on algorithms, cryptography, and network security makes graduates well-suited for roles in cybersecurity, where analytical and problem-solving skills are essential.
Systems Analyst: Systems analysts are responsible for analyzing and improving an organization’s IT systems. They work closely with stakeholders to identify system requirements, recommend software solutions, and oversee the implementation of new systems or upgrades. Graduates of the BSc Mathematics with Computer Science program have the analytical and technical skills necessary to assess existing systems, design improvements, and ensure that IT infrastructure aligns with business goals. This role is vital in sectors like finance, healthcare, and government.
Artificial Intelligence (AI) Specialist: AI specialists work on developing intelligent systems that can perform tasks that typically require human intelligence, such as natural language processing, robotics, and decision-making. Graduates with a background in both mathematics and computer science can pursue careers in AI development, where they use mathematical models and algorithms to design intelligent systems. AI specialists are in demand across various industries, including healthcare (for diagnostics and robotics), finance (for fraud detection), and transportation (for autonomous vehicles).
Cloud Solutions Architect: Cloud computing is revolutionizing the way businesses operate, and cloud solutions architects play a crucial role in designing and managing cloud infrastructures. They create scalable, secure, and efficient cloud-based systems for organizations. The BSc Mathematics with Computer Science program prepares graduates to work with cloud technologies, as they are equipped with the problem-solving and technical skills necessary to design optimized cloud solutions using platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.
Web Developer: Web development remains one of the most accessible and rewarding career paths for computer science graduates. Web developers design and build websites and web applications, ensuring they are functional, responsive, and user-friendly. Graduates with expertise in mathematics and computer science can apply their programming knowledge to both front-end (user interface) and back-end (server-side) development. With the program’s focus on algorithms, data structures, and software development, students are well-prepared to enter the web development field, working with clients from various sectors to create engaging digital experiences.
Researcher/Academia: For graduates interested in academia or research, pursuing a career as a researcher is a fulfilling option. Graduates with a BSc Mathematics with Computer Science are well-prepared to engage in research roles within universities, research institutions, or private companies. They may focus on areas like computational mathematics, artificial intelligence, machine learning, or cryptography. With a strong foundation in both fields, graduates can contribute to cutting-edge research that drives innovation in technology, data science, and mathematics.
