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 with a Placement Year
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 and complex datasets. Students will learn to handle intricate data, 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 mathematics, students will study subjects such as calculus, analysis, linear algebra, and differential equations. In statistics and data science, topics include linear models, statistical computing, probability, regression and classification methods, and unsupervised machine learning. Additionally, students will gain expertise in computing, particularly in the use of statistical software to interpret and communicate findings.
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. 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 through a year-long industry placement between the second and final years. Students have the opportunity to work in areas such as finance, statistics, or modeling, gaining valuable industry insights and enhancing employability. A dedicated placements officer supports students in securing these opportunities, assisting with CV development and interview preparation.
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 time at partner institutions worldwide, enriching their educational experience and fostering 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 with a Placement Year is a comprehensive program designed to equip students with a robust foundation in mathematical theories, statistical techniques, and data science applications. This interdisciplinary approach, combined with practical industry experience gained during the placement year, 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.
