MSc in Finance
Southampton, United Kingdom
MSc
DURATION
1 year
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
19 Aug 2026*
EARLIEST START DATE
Sep 2026
TUITION FEES
GBP 36,300 / per year **
STUDY FORMAT
On-Campus
* for international students | for UK students: 2 september
** for EU and international students | for UK students: £20,000
Key Summary
About: The MSc in Finance at The University of Southampton focuses on quantitative and analytical techniques across portfolio management, corporate finance and quantitative finance. You’ll apply theory via case studies, data projects and professional databases like Bloomberg and LSEG, learn Python and explore AI, machine learning and algorithmic trading. Ethics and sustainability are embedded. Curriculum maps to CFA and FRM standards. The university offers merit and competitive scholarships.
Career Outcomes: Graduates enter finance, banking, accountancy, consultancy or public sector roles. Typical jobs include financial analyst, risk manager, investment analyst; wider options include actuary, data analyst, corporate adviser and management consultant.
The MSc Finance program at Southampton places a unique emphasis on quantitative and analytical techniques, equipping you with advanced skills needed to succeed in today's fast-evolving financial landscape. You'll gain a rigorous understanding of core financial theories and their practical applications across diverse areas, including portfolio management, quantitative finance, corporate finance, and stock market analysis.
The course integrates theory with hands-on experience through case studies, data analysis, and practical projects using real financial databases and statistical software tools. You'll explore how artificial intelligence, machine learning, and programming languages are transforming finance, particularly in FinTech, algorithmic trading, and data-driven investment strategies. Ethical decision-making and sustainability are embedded throughout your studies, preparing you to contribute responsibly to global financial markets.
You'll learn from leading academics with extensive professional experience and active research portfolios. The program is accredited by both the Chartered Financial Analysts (CFA) Institute and the Global Association of Risk Professionals (GARP), with curriculum industry-aligned and mapped to CFA and Financial Risk Manager (FRM) professional qualifications. You'll gain access to professional financial databases such as Bloomberg and LSEG, programming languages like Python, and participate in investment banking simulations and weekly research seminars.
This is a full-time 1-year course running from October to October. The first 9 months involve taught study divided into 2 semesters. In semester 3 (final 3 months), you'll complete an individual research project as part of your dissertation.
You must study the following modules: Advanced Corporate Finance, Advanced Time Series Modelling, and Banking, Finance and Risk Dissertation (implied from structure). Core topics covered include: financial analysis, complex financial products, assessing and managing financial risk, management decisions and value creation, econometric modelling, applications of machine learning in finance, and leading econometric and statistical software.
You'll apply skills through: investment banking and trade simulation workshops, access to industry software, access to programming languages such as Python, access to professional financial databases such as Bloomberg and LSEG, use of live company data, and weekly research seminars.
As a graduate with this MSc in Finance, you'll be well-prepared for careers in investment banking, asset management, risk analysis, corporate finance, consultancy, government, and research. You'll have a rigorous understanding of core financial theories and their practical applications.
Your advanced quantitative and analytical skills, combined with hands-on experience in real-world financial analysis, make you competitive for roles in financial markets. The CFA Institute and GARP accreditations give you internationally recognised professional credibility and insights into current practices in investment analysis and financial risk management, strengthening your prospects for advancement in the finance industry.
Career pathways
Graduates commonly work in a range of organisations or sectors, including: Finance, Banking, Accountancy, Business consultancy, and Public Sector.
Careers directly related to this course:
- Financial analyst
- Business analyst
- Accountant
- Company secretary
- External auditor
- Forensic accountant
- Stockbroker
- Risk manager
- Financial risk analyst
- Investment analyst
Wider career opportunities:
- Actuary
- Business development manager
- Data analyst
- Economist
- Management consultant
- Mortgage adviser
- Retail banker
- Tax adviser
Example job titles of Southampton MSc Finance graduates*:
- Customer manager
- Financial analyst
- Auditor
- Business process consultant
- Finance manager
- Investment analyst
- Teacher
- Client manager
- Finance consultant
- Senior compliance officer
You're a strong fit for this program if you hold a 2:1 degree in a quantitative field such as engineering, computer science, economics, or quantitative business/management.
You're analytical and detail-oriented, with interest in applying mathematical and programming skills to real-world financial problems. You may be drawn to careers in investment banking, asset management, risk analysis, consultancy, or financial research.
If English isn't your first language, you must meet the university's English language requirements. If you don't meet exact entry requirements but have significant work experience in finance or banking, the university will consider your application on individual merit.
Full-time on-campus study at Highfield campus, running October to October. First 9 months: taught study divided into 2 semesters with lectures, case studies, data analysis, practical projects, investment banking simulations, and weekly research seminars. Final 3 months: individual research project and dissertation. Instruction is in English. You'll use industry software, Bloomberg terminals, LSEG databases, and Python programming language.