MSc Mathematics and Computing for Finance

Bay Campus

 

INTAKE: September

Program Overview

The MSc Mathematics and Computing for Finance program at Swansea University combines the fields of mathematics and computer science with a focus on finance. 

  1. 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.

  2. 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.

  3. 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.

  4. 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).

  5. 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.

  6. 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.

  7. 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.

Pollster Education

Location

Bay Campus

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 23550

Postgraduate Entry Requirements:

  • Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55% or equivalent.
  • English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
    • IELTS: A minimum overall score of 6.5 with no individual component below 6.
    • PTE Academic: A minimum overall score of 56 with no individual score below 56.
  • Some postgraduate 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.

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. 

  1. International Excellence Scholarships: Swansea University offers International Excellence Scholarships to outstanding international students who demonstrate exceptional academic achievement. These scholarships are available for both undergraduate and postgraduate programs. The value of the scholarship varies, but it can cover a significant portion of the tuition fees.
  2. Eira Francis Davies Scholarship: The Eira Francis Davies Scholarship is specifically designed for female students from developing countries who wish to pursue a full-time undergraduate or postgraduate course at Swansea University. This scholarship aims to support female students in their academic journey and empower them to make a positive impact in their home countries.
  3. Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious awards offered to international students who have demonstrated academic excellence and leadership potential. These scholarships provide financial support towards tuition fees and are available for both undergraduate and postgraduate programs.
  4. Santander Scholarships: Swansea University has a partnership with Santander Bank to provide scholarships for international students. These scholarships are awarded based on academic merit and cover a portion of the tuition fees.
  5. Sports Scholarships: Swansea University recognizes the achievements of talented athletes and offers Sports Scholarships to support them in balancing their academic and sporting commitments. These scholarships provide financial assistance, as well as access to training facilities and additional support services.

Graduates of the MSc Mathematics and Computing for Finance program have excellent career prospects in the finance industry.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.


Similar Courses
WhatsApp Enquiry Call Enquiry