MSc Accounting and financial Management
The MSc Accounting and Financial Management course at Royal Holloway University of Lond...
BSc (Hons) Mathematics with Statistics
Main Campus
INTAKE: September
Program Overview
The BSc (Hons) Mathematics with Statistics program at Royal Holloway University of London offers students a comprehensive understanding of both mathematical theory and statistical analysis. This program is designed to equip students with the necessary skills and knowledge to pursue careers in various fields such as finance, data science, research, and academia. Students engage in a rigorous academic curriculum that covers foundational mathematical concepts alongside advanced statistical techniques.
Curriculum: The curriculum of the BSc (Hons) Mathematics with Statistics program encompasses a broad range of topics in mathematics and statistics. Students study core mathematical subjects including calculus, algebra, and analysis, while also delving into statistical methods such as probability theory, regression analysis, and hypothesis testing. They develop proficiency in using statistical software and gain hands-on experience in analyzing real-world data sets. Additionally, students have the opportunity to explore specialized areas such as time series analysis, multivariate statistics, and computational statistics, tailoring their studies to their interests and career goals.
Research Focus: The program places a strong emphasis on research and analytical thinking. Students have the opportunity to engage in independent research projects under the guidance of experienced faculty members. They learn how to formulate research questions, collect and analyze data, and present their findings effectively. Through research-focused coursework and projects, students develop critical thinking skills and gain valuable experience that prepares them for further academic study or professional research roles.
Industry Engagement: Royal Holloway University of London fosters strong connections with industry partners to provide students with opportunities for industry engagement. The Mathematics with Statistics program offers internships, placement opportunities, and industry projects that allow students to gain practical experience and develop professional skills in real-world settings. These industry connections enable students to network with professionals, explore career options, and apply their academic knowledge to solve industry challenges.
Global Perspective: As a leading institution in the heart of London, Royal Holloway University offers a diverse and inclusive learning environment with a global perspective. The Mathematics with Statistics program attracts students from around the world, creating a multicultural community where students learn from each other's perspectives and experiences. Additionally, the university's strong international partnerships and collaborations provide students with opportunities for global exchange programs, study abroad experiences, and research collaborations with institutions worldwide.
Location
Main Campus
Score
IELTS 6
Tuition Fee
£ 21900
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
- TOEFL: A minimum overall score of 81, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 51.
- DET Requirement: A DET score of 110 is required.
- Some programs may have specific subject prerequisites or additional requirements.
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.
Royal Holloway, University of London offers a range of scholarships to support students in their academic pursuits. These scholarships are designed to recognize excellence and provide financial assistance to eligible students.
Founder's Scholarship: This is the most prestigious scholarship at Royal Holloway, awarded to undergraduate students who demonstrate exceptional academic achievement and potential. It covers full tuition fees and provides a generous annual stipend.
Royal Holloway Excellence Scholarship: This scholarship is awarded to undergraduate students based on their academic achievement and potential. It offers a £2,500 tuition fee waiver for each year of study.
International Excellence Scholarship: This scholarship is specifically for international undergraduate students. It provides a tuition fee reduction of £4,000 per year for the duration of the program.
Sports Scholarships: These scholarships are available to students who excel in sports and have the potential to represent the university at a high level. They provide support in the form of financial assistance and access to training facilities.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
Graduates of the BSc (Hons) Mathematics with Statistics program from Royal Holloway University of London are well-equipped with analytical, problem-solving, and statistical skills that are highly sought after in various industries.
Data Analyst/Data Scientist: With a strong background in mathematics and statistics, graduates can pursue careers as data analysts or data scientists. They analyze large datasets, extract meaningful insights, and use statistical techniques to inform business decisions, develop predictive models, and identify trends.
Statistical Analyst: Graduates can work as statistical analysts, applying their expertise in statistical methods to analyze and interpret data for research studies, surveys, or clinical trials. They may work in healthcare, government agencies, market research firms, or academic institutions.
Actuary: Graduates with a solid foundation in mathematics and statistics can pursue careers as actuaries in insurance companies, consulting firms, or financial institutions. They assess risks, evaluate financial implications, and use mathematical models to help organizations make informed decisions regarding insurance policies, investments, and pensions.
Quantitative Analyst (Quant): Graduates can work as quantitative analysts, or "quants," in financial services firms, hedge funds, or investment banks. They develop mathematical models and algorithms to analyze financial markets, assess risk, and optimize trading strategies.
Market Research Analyst: Graduates can pursue careers in market research, collecting and analyzing data to understand consumer behavior, market trends, and competitive landscapes. They use statistical methods to interpret survey results, conduct market segmentation, and provide insights to support marketing strategies.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, helping organizations leverage data to gain insights into their operations, customer behavior, and market trends. They use statistical tools and techniques to analyze data, create reports, and make recommendations to improve business performance.
Economic Analyst: Graduates can work as economic analysts in government agencies, research institutions, or international organizations. They analyze economic data, forecast trends, and evaluate the impact of policies on economies at local, national, or global levels.
Research Scientist: Graduates can pursue careers in research, working in academic institutions, government laboratories, or private research organizations. They apply statistical methods to analyze experimental data, conduct research studies, and contribute to advancements in fields such as healthcare, environmental science, or social sciences.
Consultant: Graduates can work as consultants in management, strategy, or data analytics consulting firms, providing expertise in statistical analysis, predictive modeling, and data visualization. They help clients solve complex problems, optimize processes, and make data-driven decisions to achieve their business objectives.
Further Study: Graduates may choose to pursue further study by enrolling in postgraduate programs such as master's degrees or PhDs in statistics, data science, or related fields. Advanced degrees can lead to opportunities in academia, research, or specialized roles in industry.
