Three students at Oxford Brookes University chatting and smiling while walking down the stairs in the new teaching building.

MSc Finance and Analytics

Combine specialist finance knowledge with analytical approaches to investigate data and inform financial decision-making.

Key facts

Duration
Full time: 1 year for full-time. 2 years for full-time sandwich mode
Part time: 2 years for part-time. 3 years part-time sandwich mode
Starts
January 2027, September 2027
Level
Master's and postgraduate
Course code
MSC-FNA
Location
Headington
School
Oxford Brookes Business School

About this course

The MSc Finance and Analytics at Oxford Brookes University is designed for graduates and professionals looking to develop in-demand expertise at the intersection of finance, data analytics, and technology. In today’s fast-evolving financial landscape, organisations increasingly rely on data-driven decision-making to stay competitive. This course meets that need by equipping you with the practical skills and theoretical knowledge to interpret financial data, harness analytics, and solve real-world business challenges.

Whether you’re new to finance or analytics, our inclusive conversion course supports students from a wide range of backgrounds. You’ll learn from leading academics and industry experts, using tools like Excel, Python, R, SQL, Tableau, and Power BI, while also gaining access to our Bloomberg suite and cloud computing skills through AWS Academy. With opportunities for industry engagement, a placement year, and an optional international study trip, you'll graduate ready to thrive in finance, investment, or analytics roles in a global market.

  • Integrated Finance and Analytics Focus

    Study a future-facing curriculum combining core financial theory with data analytics and FinTech, supported by our Bloomberg suite and digital lab

  • Industry Certifications and Tools

    Access the AWS Academy cloud computing curriculum and learn industry-recognised platforms such as Excel, Python, Tableau, SQL and Power BI

  • Experiential Learning

    Engage in real-world problem-solving through applied projects, optional work placements, guest lectures, and hands-on workshops with data analytics and finance professionals

  • Career ready graduates

    Build your career profile with co-curricular activities, industry connections, and opportunities to join global analytics and finance communities and challenges

Research expertise

Business School academics explore core issues facing contemporary societies, in areas such as entrepreneurship, internationalisation, digital transformation, diversity, business innovation, big data analytics, data driven decision-making, coaching and mentoring security, and the changing world of work and organisations including the impact of artificial intelligence. We address questions such as:

  • What characterises the interconnections of trade, transportation and technologies?
  • How can social media address well-being and social isolation?
  • How can business models adapt to a digital environment?
  • How can individuals be happier and navigate the increasingly complex world of work?

We have expertise in the above research. As students, we are always keen to include you into our projects where possible.

Visit the research pages to learn more about the four research centres. Being a master’s student at OBBS offers you many opportunities to be a part of the research culture.

Entry requirements

Entry requirements

QualificationTypical offer
IELTS

IELTS 6.0 overall with 6.0 in reading and writing, and 5.5 in listening and speaking. For more information, please see our English language requirements.

A minimum of a second class honours degree (2:2) in any academic discipline, or equivalent overseas degree from a recognised institution or equivalent professional or other qualification.

We also recognise the value of professional experience. If you do not have the academic qualifications but have extensive and relevant professional experience and a proven ability to succeed, we would welcome your application.

This course attracts students from a wide range of backgrounds and nationalities. Applications are welcome from those in work and seeking continuing professional development.

Entry will also be subject to one satisfactory academic or professional reference (typically an academic reference).

Fees and funding

Fees

Tuition fees
Fee types2026/272027/28
Home full-time£12,300£12,650
Home part-time£6,150£6,325
Home placement year£3,100 (extended placement)£3,275 (extended placement)
International full-time£19,600£20,800
International placement year£3,100 (extended placement)£3,275 (extended placement)

Fees quoted are for the first year only. If you are studying a course that lasts longer than one year, your fees will increase each year.

The following factors will be taken into account by the University when it is setting the annual fees: inflationary measures such as the retail price indices, projected increases in University costs, changes in the level of funding received from Government sources, admissions statistics and access considerations including the availability of student support.

How and when to pay

Tuition fee instalments for the semester are due by the Monday of week 1 of each semester. Students are not liable for full fees for that semester if they leave before week 4. If the leaving date is after week 4, full fees for the semester are payable.

  • For information on payment methods please see our Make a Payment page.
  • For information about refunds please visit our Refund policy page.

Questions about fees?

Contact Student Finance on:

+44 (0)1865 534400

financefees@brookes.ac.uk (opens in a new tab)

Learning and assessment

The MSc Finance and Analytics blends theoretical learning with hands-on application. You’ll explore core financial concepts, develop advanced analytics skills, and apply both to real-world scenarios through coursework and projects. Modules are assessed mainly through coursework, encouraging critical thinking, collaboration, and practical problem-solving.

The course also includes a substantial final project, allowing you to demonstrate your ability to analyse complex data, draw insights, and communicate findings effectively. Students can choose to complete an optional placement year or take part in extracurricular industry projects and international study opportunities.

You’ll learn through a combination of lectures, workshops, case studies, simulations, and group work – all designed to reflect real industry practices. Our expert teaching teams from across the analytics and accounting and finance subject groups bring cutting-edge research and industry insight into the classroom.

You’ll gain hands-on experience using professional tools like Bloomberg, Python, SQL, Tableau and AWS cloud. The programme also emphasises reflective learning, encouraging you to identify your strengths, build a personal development plan, and enhance your career readiness.

Assessment

Assessment on this course is mainly coursework-based, offering a range of methods to help you demonstrate your learning. These include individual and group projects, case studies, presentations, data analysis reports, and reflective assignments. This approach helps you develop key employability skills such as communication, teamwork, problem-solving and data storytelling.

It also allows you to apply your learning directly to real-world challenges, gaining practical insights into the finance and analytics sectors. The final project is an opportunity to showcase your research and analytical capabilities in a topic of your choice

Year 1

Compulsory modules

  • AISO7006

    20 credits

    You will be introduced to the technologies reshaping the financial sector, focusing on how emerging tools (including AI) and data infrastructures are driving...

  • ACFI7035

    20 credits

    The module provides the necessary foundation for the study of finance, comprising three areas of knowledge and understanding: - Foundational concepts, theories...

  • ACFI7034

    20 credits

    This module details the various asset classes that investors might consider in forming portfolios. You'll gain hands-on experience of building a diversified...

  • AISO7002

    20 credits

    You’ll gain an understanding of how to examine data and use statistics to produce information that’ll help businesses to formulate strategies and make...

  • AISO7003

    20 credits

    Business analytics focuses on the data and technology that enables fact-based decision-making. This module will guide you on how to use data extensively and how...

  • BMGT7076

    20 credits

    This module is designed to develop your self-awareness as a leader and team player, helping you understand your strengths and weaknesses. You'll gain and...

  • AISO7005

    40 credits

    Your learning is supported through a structured programme of face-to-face workshops and/or support sessions, which may include one-to-one consultations, group...

  • OBBS7001

    20 credits

    If you decide to take the sandwich mode your year of full-time taught study will be followed by one year of full-time, supervised work experience. The time on...

Optional modules

  • AISO7001

    20 credits

    Business Intelligence (BI) refers to technologies, applications, and practices for the collection, integration, analysis, and presentation of business...

  • ACFI7009

    20 credits

    This module provides an introduction to the principles and practice of corporate financial management. You will learn how organisations manage their finances...

  • INSE4001

    This non-credit-bearing module focuses on developing the academic writing and reading skills required when undertaking postgraduate level study. It will help...

  • BMGT7011

    This elective study trip will give you a hands-on, intensive experience with the ideas and practices of global business. You’ll meet with leaders of global...

Field trips

The International Business in Practice Study Trip module allows you to experience ideas and practices of global business. During the trip you will have direct interaction with management executives and practices. You will attend presentations from local management executives and experts and go on site visits to major corporations and agencies. This study trip is voluntary and you will need to fund all costs associated with the trip. We have also run study trips to Chengdu, Boston and Budapest, as well as trips to flagship FinTech or Tech events.

Careers

Graduates of the MSc Finance and Analytics are well-positioned for a wide range of roles across the finance, analytics, and technology sectors. You'll have the technical skills to manipulate and interpret financial data and the strategic insight to apply it in business contexts. Roles you may pursue include Financial Analyst, Business Intelligence Analyst, Investment Analyst, Risk Analyst, Data Consultant, or FinTech Specialist.

The course also prepares you for professional certifications and further study or research. With our focus on employability and lifelong learning, you'll graduate with a future-focused mindset, strong digital literacy, and access to a global professional network. Whether you want to advance your career, change direction, or start your own venture, this MSc will give you the tools to succeed in the digital finance landscape.

Our courses are reviewed regularly as part of our quality assurance framework, so module availability and course structures may vary from what is listed here. On rare occasions, we may also need to make updates to our course programmes after publication; for full details, please visit our changes to programmes page (opens in a new tab)