QS Rank:

298

Swansea University

Wales
,United Kingdom

Program Name
Master of Science in Mathematics and Computing for Finance
Overview

The Master of Science in Mathematics and Computing for Finance at Swansea University is a meticulously designed program that delves into the intricate relationship between mathematical theories and their practical applications in finance. This program not only equips students with advanced computational skills but also provides profound insights into quantitative finance, risk management, and financial modeling. With a curriculum that harmonizes theoretical knowledge with practical capabilities, students can expect to engage in real-world financial problems, preparing them to thrive in an increasingly data-driven financial sector.
The curriculum is carefully structured and includes core modules such as Statistical Methods for Finance, Financial Econometrics, and Computational Finance. Students will also engage in specialized modules such as Risk Management and Mathematical Modeling in Finance, allowing them to gain a nuanced understanding of financial instruments and market dynamics. These comprehensive modules not only provide theoretical frameworks but also emphasize hands-on experience through various practical projects, case studies, and simulations that mirror real financial environments.
The faculty at Swansea University is comprised of esteemed experts and seasoned practitioners in the fields of mathematics, finance, and computing. Their teaching methodology is built on an engaging, student-centered approach that promotes active learning and research participation. This dynamic environment encourages students to collaborate with faculty members, explore innovative ideas, and develop critical thinking skills. Furthermore, faculty members are frequently involved in cutting-edge research projects, offering students the opportunity to participate in groundbreaking research initiatives that can significantly enhance their academic profiles and career readiness.
Swansea University places a strong emphasis on equipping students with the tools necessary for effective post-graduation employment. Through partnerships with leading financial institutions and firms, the program offers numerous internship opportunities, allowing students to gain invaluable experience and network with industry professionals. This direct connection to the financial sector enhances students' employability and provides them with insights into industry demands and expectations.
Graduates of the program have successfully secured positions in diverse roles such as Quantitative Analyst, Financial Analyst, Data Scientist, and Investment Banker. With an average starting salary of approximately £45,000, the financial prospects for graduates are promising. Alumni have gone on to work with prestigious organizations and have shared success stories that highlight the program's role in shaping their careers. Many alumni return to engage with current students, sharing insights and fostering connections that can guide new graduates into their professional journeys.
Why Study Mathematics and Computing for Finance at Swansea University
- A popular choice for international students, boasting a diverse community that fosters cultural exchange and collaborative learning.
- Learn from esteemed faculty members who are not only experts in their fields but also dedicated mentors, providing opportunities for students to become research assistants.
- High-end laboratories equipped with the latest technology facilitate practical research work, preparing students for real-world challenges.
- Robust placement programs and career support services ensure that students receive guidance and resources for successful job placements after course completion.
- Access to extensive research opportunities with real-world applications, enabling students to contribute to significant advancements in finance and mathematics.
- A well-rounded learning experience that combines theoretical knowledge with practical applications, enhancing students’ analytical and problem-solving skills.
The requirements for enrollment in the Master of Science in Mathematics and Computing for Finance program include a relevant undergraduate degree, ideally in mathematics, finance, or a related field. Applicants are expected to submit essential documents, including transcripts, a detailed resume, and an academic letter of recommendation. Proficiency in English is mandatory, with standardized tests such as TOEFL, IELTS, or PTE being required for non-native speakers. Minimum scores for admission generally include a TOEFL score of 79, an IELTS score of 6.0, or a PTE score of 56.
In summary, the Master of Science in Mathematics and Computing for Finance program at Swansea University stands out as an exceptional opportunity for students seeking to bridge the gap between mathematics and the financial world. With a robust curriculum, expert faculty, and valuable industry connections, this program is not just an educational journey but a stepping stone toward a successful career in finance. Whether you aim to engage in research, develop innovative financial models, or analyze market trends, this program provides the tools, resources, and guidance to help you achieve your professional aspirations.

Duration
12 Months

Median Salary
$40,000
Ranking
#463
US World and News Report
#298
QS World University Rankings
Class Profile

Class Size
25

Average Age
24

Average Work Experience
1 Years
Diversity
Others:
2%Others:
1%Wales:
80%England:
10%Scotland:
5%Northern Ireland:
2%Republic of Ireland:
1%Career Outcomes

Median Earnings After Graduation
$40,000 / year
Prospective Job Roles
Research Scientist
Software Engineer
Financial Analyst
Investment Banker
Quantitative Analyst
Risk Analyst
Data Scientist
Actuary
Consultant
Trader
Top recruiters










Eligibility Criteria
English Proficiency Tests
TOEFL
79
IELTS
6
PTE
56
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$22,450 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Royal Statistical Society
Institute of Mathematics and its Applications
London Mathematical Society
FAQs
A student can complete Mathematics and Computing for Finance at Swansea University with in 12.
The annual tuition fee to pursue Mathematics and Computing for Finance at Swansea University is GBP 22450.
The submission of these scores mainly depends on the type of degree/ course selected at the Swansea University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Swansea University requirements before submitting a score.
Mathematics and Computing for Finance can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of Swansea University, they can easily pursue Mathematics and Computing for Finance . The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at Swansea University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Swansea University website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Swansea University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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