MSc Accounting and Finance
The MSc Accounting and Finance program at the University of Portsmouth is designed to p...
Portsmouth
INTAKE: September
The BSc (Hons) Mathematics with Statistics program at the University of Portsmouth offers students a comprehensive education in both mathematics and statistics, preparing them for diverse career opportunities in fields such as data analysis, finance, research, and academia. This interdisciplinary program equips students with a strong foundation in mathematical theory, statistical methods, and analytical techniques, providing them with the skills and knowledge needed to tackle complex problems and make informed decisions in today's data-driven world. With a focus on both theoretical concepts and practical applications, graduates emerge ready to excel in various industries that require expertise in mathematics and statistics.
Curriculum: The curriculum of the BSc (Hons) Mathematics with Statistics program covers a wide range of subjects, including calculus, algebra, probability theory, statistical modeling, and data analysis. Students study core mathematical principles alongside advanced statistical techniques, gaining a deep understanding of both disciplines. The program emphasizes hands-on learning through practical exercises, computational projects, and real-world case studies, allowing students to apply their mathematical and statistical knowledge to solve practical problems and make evidence-based decisions. Additionally, students have the flexibility to tailor their studies through elective modules, focusing on areas such as machine learning, time series analysis, or mathematical finance.
Research Focus: Research is a central component of the BSc (Hons) Mathematics with Statistics program, providing students with opportunities to engage in cutting-edge research projects and contribute to the advancement of mathematical and statistical knowledge. Students work closely with faculty members on research initiatives, exploring topics such as mathematical modeling, statistical inference, or data mining. Through independent research projects, students develop critical thinking skills, problem-solving abilities, and a deeper understanding of mathematical and statistical concepts, preparing them for further study or careers in research-intensive fields.
Industry Engagement: The University of Portsmouth fosters strong connections with industry partners to ensure that students gain practical experience and develop industry-relevant skills. The BSc (Hons) Mathematics with Statistics program collaborates with companies, government agencies, and research institutions to offer internship opportunities, guest lectures, and industry-led projects. Students have the chance to apply their mathematical and statistical expertise in real-world settings, gaining valuable insights into industry practices and building professional networks that enhance their employability upon graduation.
Global Perspective: While the BSc (Hons) Mathematics with Statistics program primarily focuses on mathematics and statistics within the UK context, it also encourages students to adopt a global perspective. Students explore international issues, collaborate with peers from diverse backgrounds, and engage with global research initiatives. Additionally, the University of Portsmouth offers study abroad programs, exchange opportunities, and research collaborations with international partners, allowing students to gain exposure to different cultures, perspectives, and approaches to mathematics and statistics on a global scale.
Portsmouth
IELTS 6
£ 17900
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 65 to 70% or equivalent in their respective country's grading system.
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.
The University of Portsmouth offers a range of scholarships and funding opportunities to support students in their academic journey. These scholarships are aimed at both domestic and international students and are awarded based on various criteria such as academic excellence, financial need, and specific areas of study.
Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional students who demonstrate academic excellence and potential. It provides a significant fee reduction for the duration of the student's course.
Vice-Chancellor's Global Development Scholarship: This scholarship is available to international students from selected countries who are applying for undergraduate or postgraduate taught courses. It offers a fee reduction of up to £4,000.
Country-Specific Scholarships: The university offers scholarships specifically for students from certain countries or regions. These scholarships vary in value and eligibility criteria.
Sports Scholarships: The University of Portsmouth recognizes the achievements of talented athletes and offers sports scholarships to support their development and academic success. These scholarships provide financial support, training facilities, and other benefits.
Departmental Scholarships: Some academic departments at the University of Portsmouth offer scholarships to students who demonstrate exceptional academic performance or have a particular interest in a specific field of study. These scholarships are often subject-specific and may vary in terms of eligibility and value.
Graduates of the BSc (Hons) Mathematics with Statistics program from the University of Portsmouth possess a diverse skill set that opens doors to various career opportunities in fields such as data analysis, finance, research, and academia. Equipped with strong mathematical and statistical skills, graduates are well-prepared to pursue rewarding careers in a variety of industries.
Data Analyst/Data Scientist: Many graduates choose to work as data analysts or data scientists, where they analyze large datasets, extract meaningful insights, and make data-driven decisions. Data analysts work across various industries, including finance, healthcare, marketing, and technology, using statistical techniques and mathematical models to identify trends, patterns, and correlations in data. They play a crucial role in informing business strategies, optimizing processes, and driving innovation through data-driven decision-making.
Financial Analyst/Quantitative Analyst: Some graduates opt for careers as financial analysts or quantitative analysts, where they apply mathematical and statistical methods to analyze financial data, evaluate investment opportunities, and manage risks. Financial analysts work for banks, investment firms, or corporate finance departments, conducting financial modeling, risk assessment, and performance analysis. Quantitative analysts develop and implement quantitative models for trading strategies, risk management, and financial derivatives pricing, leveraging their mathematical and statistical expertise to generate insights and drive profitable decisions.
Actuary: Graduates may pursue careers as actuaries, specializing in risk assessment and financial modeling for insurance companies, pension funds, or consulting firms. Actuaries use mathematical and statistical techniques to analyze risk, calculate insurance premiums, and design financial products that provide financial security for individuals and organizations. They play a critical role in assessing and managing risks related to life expectancy, health, property, and casualty insurance, ensuring the financial stability and solvency of insurance companies.
Statistical Analyst/Research Analyst: Some graduates work as statistical analysts or research analysts, where they design experiments, collect data, and conduct statistical analysis to support research projects or business objectives. Statistical analysts work in various fields, including healthcare, social sciences, market research, and government agencies, analyzing survey data, conducting hypothesis testing, and interpreting statistical findings. Research analysts work for academic institutions, think tanks, or research organizations, conducting research, writing reports, and publishing findings on various topics of interest.
Academic/Researcher: Graduates may pursue careers in academia or research, where they contribute to the advancement of mathematical and statistical knowledge through teaching, research, and scholarly activities. Academic careers involve teaching undergraduate or postgraduate students, conducting research, and publishing papers in academic journals. Research careers may involve working for research institutions, government agencies, or private companies, conducting research on topics such as applied mathematics, statistical modeling, or data science.
Consultant/Advisor: Some graduates become consultants or advisors, providing expert advice and guidance on mathematical and statistical matters to organizations in various sectors. Consultants work for consulting firms, offering services such as data analysis, modeling, and forecasting to help clients solve complex problems, optimize processes, and make informed decisions. Advisors may work independently or for financial advisory firms, providing advice on investment strategies, risk management, or regulatory compliance to clients in the finance industry.
Business Analyst/Operations Analyst: Graduates may work as business analysts or operations analysts, where they analyze business processes, identify areas for improvement, and make recommendations to enhance efficiency and productivity. Business analysts work for companies in various industries, conducting data analysis, process mapping, and stakeholder interviews to understand business needs and requirements. Operations analysts focus on optimizing operational processes, supply chain management, or logistics, using mathematical and statistical techniques to streamline operations and reduce costs.