MA English Literature
The MA in English Literature at the University of Reading offers a comprehensive and im...
BSc Mathematics and Statistics with Data Science
Reading
INTAKE: September
Program Overview
This degree aims to develop expertise in mathematics and statistical theory while emphasizing the application of data science methods to real-world problems. Students will learn to handle complex datasets, perform in-depth analyses, and build artificial intelligence models, preparing them for roles in finance, business, climate science, medicine, and the civil service.
Curriculum: The curriculum is structured to provide a comprehensive education in both theoretical and applied aspects of mathematics, statistics, and data science. In the initial stages, students engage with core mathematical subjects such as calculus, analysis, linear algebra, and differential equations. Concurrently, foundational topics in statistics and data science, including probability, linear models, statistical computing, regression and classification methods, and unsupervised machine learning, are introduced. As students progress, they have the opportunity to delve deeper into specialized areas through optional modules, allowing for a tailored educational experience.
Research Focus: The Department of Mathematics and Statistics at Reading is recognized for its research-intensive environment, with 98% of its mathematical research rated as world-leading or internationally excellent. The department's research has significantly contributed to advancements in areas such as weather prediction, climate forecasting, and the design and analysis of clinical trials. This strong research culture ensures that the curriculum is informed by the latest developments, providing students with insights into contemporary mathematical and statistical challenges.
Industry Engagement: The program emphasizes practical experience, offering various summer placements in sectors like finance, statistics, or modeling. These placements provide valuable industry insights and enhance employability. A dedicated placements officer supports students in securing these opportunities, assisting with CV development and interview preparation. Additionally, students can opt for a four-year version of the course, which includes a year-long industry placement between the second and final years, further bridging the gap between academic learning and professional application.
Global Perspective: The University of Reading offers students the chance to broaden their academic and cultural horizons through study abroad opportunities. Participants can choose to spend two weeks, a semester, or an entire academic year at partner institutions worldwide. This exposure not only enriches the educational experience but also fosters a global outlook, an invaluable asset in today's interconnected world.
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.
The University of Reading's BSc Mathematics and Statistics with Data Science program is meticulously designed to equip students with a robust foundation in mathematical and statistical theories, complemented by practical data science skills. This interdisciplinary approach opens a diverse array of career opportunities across various sectors.
Data Analyst: Graduates can interpret and visualize complex datasets to inform business strategies, utilizing the statistical and computational skills acquired during their studies.
Data Engineer: Building and optimizing data infrastructures, such as databases and processing systems, is a key role for data engineers, aligning with the program's emphasis on data management and computational techniques.
Business Data Analyst: Specializing in analyzing business-specific data to enhance operational efficiency and profitability, this role benefits from the analytical and problem-solving skills developed in the program.
Financial Analyst: Applying mathematical and statistical expertise to assess financial data, graduates can forecast economic trends and guide investment decisions, reflecting the program's quantitative focus.
Actuary: Utilizing statistical methods to evaluate financial risks in sectors like insurance and pensions, this role aligns with the program's strong foundation in probability and risk assessment.
Software Developer: Developing applications and systems, especially those requiring algorithmic and data processing capabilities, leverages the programming and analytical skills honed during the course.
Machine Learning Engineer: Designing and implementing algorithms that enable machines to learn from data, this role is a natural progression for graduates with a deep understanding of data science and statistics.
Quantitative Researcher: Conducting research to develop models for financial markets or scientific data analysis, this position benefits from the program's emphasis on rigorous mathematical and statistical training.
Consultant: Providing expert advice on data strategy, analytics, and process optimization, consultants utilize the comprehensive analytical toolkit developed throughout the program.
Academic Researcher: Pursuing further studies or contributing to academic research in mathematics, statistics, or data science, graduates can advance knowledge in these fields, reflecting the program's research-informed curriculum.
