MA English Literature
The MA in English Literature at the University of Reading offers a comprehensive and im...
BSc Mathematics with Computer Science with a Placement Year
Reading
INTAKE: September
Program Overview
The BSc Mathematics with Computer Science with a Placement Year at the University of Reading is a unique program that blends the analytical depth of mathematics with the practical application of computer science. This program is specifically designed for students who want to deepen their understanding of both disciplines and apply their skills in real-world settings through an integrated industrial placement year. The program is ideal for students seeking to pursue careers in fields such as data science, software development, cybersecurity, finance, and artificial intelligence, where expertise in both mathematics and computing is highly sought after. By combining theoretical foundations with hands-on experience, this degree ensures graduates are well-equipped to meet the challenges of an increasingly data-driven and technology-centric job market.
Curriculum: The curriculum of the BSc Mathematics with Computer Science with a Placement Year program is carefully structured to provide students with a robust foundation in both disciplines, while also giving them the opportunity to specialize in areas of interest. In the first year, students focus on core mathematical concepts such as calculus, linear algebra, and discrete mathematics, alongside introductory computer science topics like programming, algorithms, and data structures. As students progress through the program, the curriculum expands to more advanced topics in both mathematics and computer science, including probability theory, optimization, software engineering, and database systems. In addition to technical skills, the program also emphasizes the development of problem-solving, logical thinking, and analytical skills, which are central to both fields. The inclusion of a placement year between the second and final year of study is a key feature of this program. During the placement year, students work with industry partners, gaining valuable practical experience and applying their academic knowledge to solve real-world problems. The placement year helps bridge the gap between theory and practice, ensuring students graduate with a competitive edge in the job market.
Research Focus: The University of Reading is renowned for its research excellence, and students enrolled in the BSc Mathematics with Computer Science with a Placement Year program benefit from the university’s strong research-led teaching. The program is informed by ongoing research in areas such as applied mathematics, computational mathematics, artificial intelligence, machine learning, and data science. Students are encouraged to engage with the latest developments in these fields, and may have opportunities to participate in research projects alongside faculty members. Furthermore, the program’s placement year provides students with the opportunity to apply their academic knowledge to industry-sponsored research or projects, gaining exposure to cutting-edge technologies and methodologies. The university’s research in mathematics and computer science contributes to solving real-world problems, particularly in sectors such as healthcare, finance, and environmental science. As part of their studies, students can explore these interdisciplinary research areas, enhancing their understanding of how mathematics and computer science intersect to drive innovation in a variety of fields.
Industry Engagement: Industry engagement is a core component of the BSc Mathematics with Computer Science with a Placement Year program at the University of Reading. The inclusion of a placement year provides students with the invaluable opportunity to apply their academic knowledge in a professional setting. During the placement year, students gain hands-on experience working with leading organizations in sectors such as technology, finance, data science, and engineering. This practical experience allows students to develop key skills that are essential for success in their future careers, including teamwork, communication, project management, and problem-solving. The University of Reading has established strong connections with industry partners, ensuring that students have access to a range of placement opportunities with reputable companies. Additionally, the university offers support in securing placements, including workshops, networking events, and career fairs. Industry experts also provide guest lectures and mentoring, further enhancing students’ connections with the professional world.
Global Perspective: The BSc Mathematics with Computer Science with a Placement Year program at the University of Reading offers students a global perspective, preparing them to work in an increasingly interconnected world. The program covers a wide range of topics that have global applications, such as data science, artificial intelligence, machine learning, and cybersecurity, all of which are critical to solving global challenges. Additionally, the university’s diverse student body provides a unique learning environment, encouraging the exchange of ideas and fostering a global outlook. Students also have opportunities to participate in international placements or study abroad programs, gaining exposure to different cultures, technologies, and business practices. This global perspective enriches students’ educational experiences, allowing them to understand how mathematics and computer science are applied in various contexts around the world. Furthermore, the program’s international focus equips students with the skills needed to work in multinational organizations and contribute to solving global problems.
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 with a Placement Year from the University of Reading opens up a wide range of exciting career opportunities in various sectors. This interdisciplinary program equips students with a unique combination of mathematical expertise and computing knowledge, which is highly valued by employers across industries. The addition of a placement year further enhances employability, providing students with hands-on experience and a deeper understanding of how both fields are applied in the real world.
Data Scientist/Analyst: One of the most sought-after career paths for graduates with a BSc Mathematics with Computer Science with a Placement Year is in data science. Data scientists and analysts use statistical methods, machine learning algorithms, and computational tools to analyze large datasets, uncover patterns, and derive meaningful insights that can drive business decisions. With a strong foundation in both mathematics and computer science, graduates are well-equipped to excel in this field, applying their knowledge of statistics, probability, and data modeling to industries such as finance, healthcare, retail, and technology.
Software Developer/Engineer: Software development is another popular career option for graduates of this program. Software developers design, create, and maintain applications, software tools, and systems for a wide range of industries. Graduates with a solid understanding of programming languages, algorithms, and data structures are well-prepared to build scalable and efficient software solutions. Whether working for tech companies, financial institutions, or startups, software developers use their expertise to solve complex problems and create innovative digital solutions. The placement year provides valuable exposure to real-world projects, helping students refine their technical skills and gain practical experience.
Quantitative Analyst (Quant): For those with a strong interest in finance, a career as a quantitative analyst (quant) offers excellent prospects. Quants use advanced mathematical models, statistical analysis, and computational tools to analyze financial markets, assess risk, and develop trading strategies. The knowledge of mathematics, including areas like calculus, probability, and optimization, combined with computing skills, makes graduates of this program well-suited for roles in investment banks, hedge funds, and financial consulting firms. The placement year provides the opportunity to work in finance-related positions, gaining hands-on experience with financial modeling and analysis.
Machine Learning Engineer: Machine learning engineers design and develop algorithms that enable computers to learn from data, make predictions, and improve over time. This rapidly growing field is a natural fit for graduates with a BSc Mathematics with Computer Science, as it requires both a solid understanding of mathematical concepts such as linear algebra, probability, and statistics, as well as expertise in programming and data science. Graduates can pursue roles in machine learning, artificial intelligence (AI), and data analytics, working in industries such as healthcare, autonomous vehicles, finance, and e-commerce.
Cybersecurity Analyst/Specialist: As cybersecurity threats continue to grow, the demand for professionals in this field is increasing. Cybersecurity analysts protect computer systems, networks, and sensitive data from malicious attacks. With a background in mathematics and computer science, graduates can apply their skills in cryptography, network security, and algorithm design to help organizations safeguard their digital assets. The placement year gives students the opportunity to work in cybersecurity roles, gaining hands-on experience in protecting information systems, identifying vulnerabilities, and developing security protocols.
Systems Analyst: Systems analysts are responsible for evaluating and improving the IT systems used by organizations. They assess business needs, identify system inefficiencies, and design technical solutions to enhance organizational processes. The BSc Mathematics with Computer Science with a Placement Year program equips graduates with the analytical and technical skills required to assess complex systems and design improvements. Graduates can work in industries such as healthcare, finance, and manufacturing, helping businesses streamline operations and integrate new technologies.
Artificial Intelligence (AI) Specialist: AI specialists design and develop intelligent systems that can simulate human decision-making processes. These systems include natural language processing, robotics, and machine learning models. Graduates of the program, with their deep understanding of mathematics and computing, are well-positioned to contribute to AI research and development. Whether working on intelligent virtual assistants, automated decision-making systems, or AI-powered healthcare tools, graduates can make significant contributions to industries like technology, healthcare, and autonomous vehicles.
Cloud Solutions Architect: Cloud solutions architects are responsible for designing and managing cloud-based infrastructures. They work with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud to create scalable, secure, and efficient cloud systems for businesses. The BSc Mathematics with Computer Science program provides graduates with the skills needed to design cloud-based solutions, utilizing their knowledge of programming, databases, and systems analysis. The placement year allows students to gain practical experience in cloud computing and network management, preparing them for roles as cloud architects, engineers, or consultants.
Web Developer: Web development remains a popular and rewarding career path for computer science graduates. Web developers design and build websites and web applications, ensuring that they are functional, efficient, and user-friendly. With a solid foundation in programming, databases, and algorithms, graduates of the BSc Mathematics with Computer Science with a Placement Year program can work as front-end or back-end developers, creating engaging digital experiences. The placement year provides hands-on experience in real-world web development projects, helping students sharpen their technical and design skills.
Researcher or Academic Career: For those interested in pursuing a career in academia or research, the BSc Mathematics with Computer Science program provides an excellent foundation. Graduates can continue their studies by enrolling in postgraduate research programs or pursuing PhDs in fields such as computational mathematics, artificial intelligence, or data science. Researchers in this field contribute to the development of new algorithms, models, and computational techniques, which can have a significant impact on technology, finance, healthcare, and other industries. The placement year allows students to gain exposure to research projects, potentially leading to opportunities to collaborate with academic institutions or industry research teams.
