MSc Enterprise and Innovation
MSc Enterprise and Innovation: The MSc Enterprise and Innovation program at Keele Unive...
Keele University campus
INTAKE: September
The BSc (Hons) Mathematics (with Statistics) program at Keele University offers students a comprehensive understanding of mathematical principles with a specific focus on statistical methods and techniques. This program equips students with advanced mathematical skills, statistical analysis expertise, and computational proficiency, preparing them for diverse career paths in industries such as finance, data science, and research. Throughout the program, students engage in theoretical learning, practical applications, and independent research projects, gaining a deep understanding of statistical theory and its real-world applications.
Core Mathematical Foundations: The program provides students with a strong foundation in core mathematical concepts, including calculus, algebra, and probability theory. Through rigorous coursework and guided study, students develop advanced mathematical skills essential for statistical analysis and problem-solving.
Statistical Methods and Techniques: Students acquire a comprehensive understanding of statistical methods and techniques, including hypothesis testing, regression analysis, and experimental design. They learn how to analyze data, interpret results, and draw meaningful conclusions, applying statistical models to solve complex problems across various domains.
Computational Skills: The program emphasizes the development of computational skills using statistical software such as R, Python, and MATLAB. Students gain hands-on experience in data manipulation, visualization, and analysis, preparing them for roles that require proficiency in data-driven decision-making and programming.
Research and Project Work: Students have the opportunity to undertake research projects and dissertations, allowing them to explore specialized areas of statistics and mathematics in depth. Under the guidance of faculty mentors, students conduct independent research, analyze data, and present their findings, developing critical thinking and research skills.
Industry-Relevant Skills: The program focuses on developing industry-relevant skills and practical knowledge sought after by employers in sectors such as finance, healthcare, and technology. Students learn how to apply statistical techniques to real-world problems, making data-driven decisions, and communicating findings effectively to diverse stakeholders.
Keele University campus
IELTS: 6
£ 17900
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education or equivalent with a minimum overall average of 60% or above.
English Language Proficiency:
Students must provide:
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.
Keele University offers a range of scholarships and financial support options to attract and assist international students in pursuing their studies. These scholarships are designed to recognize academic excellence, promote diversity, and provide financial assistance to deserving students.
International Excellence Scholarship: The International Excellence Scholarship is awarded to high-achieving international undergraduate students. The scholarship provides a tuition fee discount of up to £2,500 per year for the duration of the undergraduate program. Eligibility is based on academic merit and applicants are automatically considered when they submit their application for admission.
Keele International Student Scholarship: The Keele International Student Scholarship is available to international students enrolling in a postgraduate taught master's degree program. The scholarship provides a tuition fee discount of up to £3,000. Eligibility is based on academic achievement, and applicants are automatically considered when they apply for their chosen postgraduate program.
Commonwealth Shared Scholarship Scheme: Keele University participates in the Commonwealth Shared Scholarship Scheme, which is funded by the UK government. The scheme provides full tuition fees, airfare, and living expenses for students from developing Commonwealth countries. The scholarship is available for selected master's degree programs in specific fields of study.
Global Excellence Scholarship: The Global Excellence Scholarship is awarded to international students who have demonstrated outstanding academic achievement and contribute to the global community. The scholarship provides a tuition fee discount of up to £5,000 for the first year of study. Eligibility is based on academic merit, and applicants are automatically considered when they apply for an eligible undergraduate or postgraduate program.
Country-Specific Scholarships: Keele University also offers scholarships specifically tailored to students from certain countries or regions. These scholarships may vary in terms of eligibility criteria and funding amounts. Examples include the Keele Nigeria Scholarship and the Keele ASEAN Scholarships, which provide financial support to students from Nigeria and Southeast Asia, respectively.
It's important to note that scholarship availability and eligibility criteria may vary each year.
The BSc (Hons) Mathematics (with Statistics) degree from Keele University prepares graduates for diverse and rewarding career opportunities across various sectors that require strong analytical and problem-solving skills.
Data Analyst: Graduates can pursue roles as data analysts, where they use statistical methods to interpret complex data sets, identify trends, and provide insights that inform business strategies and decision-making processes. They work in industries such as finance, healthcare, marketing, and government.
Actuarial Analyst: With a strong foundation in statistics, graduates can enter the actuarial profession. Actuaries analyze financial risks using mathematical models to design insurance policies, pension plans, and investment strategies. They work in insurance companies, consulting firms, and financial institutions.
Quantitative Analyst: Quantitative analysts, also known as quants, use mathematical and statistical models to develop trading strategies, risk management tools, and financial products. Graduates with a mathematics and statistics background are well-suited for roles in investment banks, hedge funds, and asset management firms.
Statistical Consultant: Graduates can work as statistical consultants, providing expertise in designing experiments, analyzing data, and interpreting results for research projects in academia, healthcare, pharmaceuticals, and market research.
Research Scientist: Careers in research and academia are also options for graduates. They can pursue postgraduate studies or research positions in universities, government agencies, or research institutions, contributing to advancements in fields such as biostatistics, environmental science, or social sciences.
Data Scientist: In the era of big data, data scientists are in high demand across industries. Graduates can leverage their statistical skills to extract insights from large datasets, build predictive models, and develop machine learning algorithms. They work in tech companies, e-commerce, and digital marketing.
Financial Analyst: Mathematics and statistics graduates can pursue roles as financial analysts, where they analyze financial data, assess investment opportunities, and evaluate company performance. They work in corporate finance, investment banking, and asset management.
Risk Analyst: Graduates can specialize in risk management, assessing and mitigating financial, operational, and market risks faced by organizations. They work in banks, insurance companies, and consulting firms.
Health Data Analyst: With a focus on healthcare statistics, graduates can work as health data analysts, analyzing patient outcomes, clinical trials, and public health data to inform healthcare policies and interventions.
Operations Research Analyst: Graduates can apply mathematical modeling and optimization techniques to improve operational efficiency in logistics, supply chain management, and manufacturing.