MSc Management (Human Resource Management)
Intake:- January & September Program Overview - MSc Mana...
Bay Campus
INTAKE: September
The MSc Mathematics and Computing for Finance program at Swansea University combines the fields of mathematics and computer science with a focus on finance.
Mathematical and Statistical Foundations: The program emphasizes the mathematical and statistical foundations required for quantitative finance. Students study topics such as calculus, linear algebra, probability theory, and statistical analysis, developing a solid mathematical toolkit.
Financial Modeling and Analysis: The program covers financial modeling and analysis techniques, including portfolio management, risk assessment, derivatives pricing, and investment strategies. Students learn how to apply mathematical and computational methods to solve complex financial problems.
Computational Finance: The program incorporates computational methods and programming skills necessary for quantitative finance. Students learn programming languages such as Python and R and gain hands-on experience in implementing financial models and algorithms.
Data Analytics and Machine Learning: The program explores the use of data analytics and machine learning techniques in finance. Students learn how to analyze financial data, develop predictive models, and make data-driven decisions. They gain insights into emerging trends in the field of financial technology (FinTech).
Industry-Relevant Skills: The program focuses on developing practical skills that are highly valued in the finance industry. These skills include data analysis, financial modeling, algorithmic trading, risk management, and programming. Students gain a deep understanding of the financial markets and the ability to apply mathematical and computational techniques effectively.
Industry Collaboration: Swansea University maintains strong links with industry partners, providing students with opportunities to engage in real-world projects and internships. Industry collaborations enhance students' understanding of the finance industry and expose them to current trends and challenges.
Research Opportunities: The program offers research opportunities, allowing students to work on independent projects under the guidance of experienced faculty members. Students contribute to advancing knowledge in the field of finance and develop their research and analytical skills.
Bay Campus
IELTS 6.5
£ 23550
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Swansea University offers a variety of scholarships to support students in their academic journey. These scholarships aim to support students in pursuing their academic goals and experiencing the vibrant learning environment at Swansea University.
Graduates of the MSc Mathematics and Computing for Finance program have excellent career prospects in the finance industry.
Quantitative Analyst: Graduates can work as quantitative analysts, using their mathematical and computational skills to develop financial models, analyze market trends, and evaluate investment opportunities. They work in banks, hedge funds, asset management firms, and financial consulting companies.
Risk Analyst: Graduates can pursue careers as risk analysts, assessing and managing financial risks. They use mathematical models and statistical techniques to measure and mitigate risks in areas such as credit risk, market risk, and operational risk.
Data Analyst: Graduates can work as data analysts, specializing in financial data analysis. They analyze large datasets, identify patterns, and extract insights to support decision-making in areas such as investment strategies, market research, and risk assessment.
Financial Software Developer: Graduates with strong programming skills can work as financial software developers, designing and implementing software solutions for the finance industry. They develop algorithms, build financial models, and create software tools for trading, risk management, and data analysis.
Financial Consultant: Graduates can work as financial consultants, providing advice and solutions to clients on financial matters. They use their mathematical and computational expertise to assist clients in areas such as investment planning, financial modeling, and risk management.
Research and Academia: Some graduates may choose to pursue further research or academic careers, contributing to the advancement of knowledge in finance or teaching future finance professionals.
Financial Technology (FinTech): Graduates can explore opportunities in the growing field of financial technology. They can work in companies developing innovative solutions in areas such as algorithmic trading, blockchain technology, robo-advisory, or digital banking.