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  • DeadlineStudy Details: Full time 1 year

Masters Degree Description

Ranked among the world’s top master’s programmes in finance, our MSc Finance offers a comprehensive curriculum preparing you for high-value careers in highly sought-after sectors such as investment banking, asset management and corporate finance. The programme provides a solid foundation in essential financial principles while allowing you to tailor your studies through a wide selection of optional modules.

You will build expertise in core areas such as financial data analytics, corporate finance, investment analysis and financial markets, while gaining advanced insights into specialised areas such as AI and machine learning, FinTech, and sustainable finance.

You will also benefit from dedicated CFA training, personalised career coaching, and hands-on experience with industry-standard platforms such as Bloomberg, LSEG Workspace and Datastream, along with programming tools like Python and R. This unique combination of core knowledge and customisable learning ensures that you graduate with both breadth and depth, making you highly adaptable and competitive in the global financial job market.

Industry-led learning

Our programme is guided by industry and research trends and delivered by a team of world-class academics. You will benefit from unparalleled networking opportunities with industry experts and access to real-world case studies, ensuring you graduate as a well-rounded professional ready to tackle global challenges. You will also have access to our sector-leading finance career coaching team, which will help you become more competitive in the job market and develop the soft skills needed to excel in any career path. Also, the programme includes optional dedicated training for the CFA Level I exam, which is delivered in the summer.

Tailor your learning with optional modules

You can choose from a diverse selection of optional modules that align with your individual interests and career aspirations. Whether you are interested in derivatives modelling, risk management, sustainable finance and ESG investing, or AI and machine learning applications in finance, our programme allows you to specialise in the areas that matter most to you.

Enhance your professional toolkit

The core module ‘Career Accelerator: Technical Toolkit and Professional Development’ will help you develop soft skills (such as communication), database management skills (such as SQL, Bloomberg, LSEG Workspace and Datastream), coding skills (such as VBA, Stata, Python and R) and practical skills in using industry-standard accounting software (such as Xero).

Over the summer, you will apply your acquired knowledge to an individual, research-driven dissertation project. This project will provide hands-on experience with real-world quantitative research while developing your research planning, time management, and written communication skills.

Entry Requirements

2:2 Hons degree (UK or equivalent) in Finance, Accounting, Economics, or another business-related subject.

We assess applicants based on their overall academic performance and typically expect strong results in finance and quantitative modules (e.g., mathematics, statistics). Relevant work experience and/or significant programming skills are also viewed favourably.

Graduates from non-business disciplines with a strong quantitative focus (Mathematics, Engineering, Physics, Computer and Data Science, and related disciplines) are encouraged to apply.

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Student Destinations

Companies that have recruited our graduates in recent years include:

  • Bangkok Bank
  • Bank of China
  • BNP Paribas
  • Citi
  • Deloitte
  • Deutsche Bank
  • EY
  • Grant Thornton
  • HSBC
  • JPMorgan Chase
  • KPMG
  • PwC
  • Standard Chartered
  • UBS

Module Details

Core
Data Analytics for Finance and Investments
Asset Pricing and Investments
Corporate Finance and Financial Markets
Career Accelerator: Technical Toolkit and Professional Development
Optional
Advanced Corporate Finance
Advanced Investments
Applied Financial Modelling
Banking and Financial Intermediation
Big Data, Machine Learning and Financial Econometrics
Climate Finance and Sustainable Investing
Derivatives Modelling
Risk Management and AI
CFA Level 1
Research Project
Dissertation

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