Finance and Analytics

MSc

Start dates: September 2026 / January 2027

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

Location: Headington

School(s): Oxford Brookes Business School

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Overview

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.

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Why Oxford Brookes University?

  • 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

  • Responsible and Inclusive Education

    Join a university committed to sustainability, inclusion, and responsible management education, aligned with the UN’s Principles for Responsible Management Education.


     

Course details

Course structure

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.

Students looking at trade markets on a computer screen

Learning and teaching

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

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.

Start this course in January or September

You can start this course in January if a September start doesn't suit you or is not currently offered for this course. For January entrants, the programme follows almost the same overall structure as the September intake, but with an adjusted sequence of study beginning in the Spring Semester, and the final Applied Project in Autumn Semester.

Study modules

The MSc Finance and Analytics at Oxford Brookes University offers an exciting opportunity to gain advanced financial knowledge alongside in-demand data analysis skills. Designed with a global outlook, the course explores key topics such as Investment with Bloomberg, Business Analytics, and Emerging Financial Technologies. You’ll learn how to apply data-driven approaches to real-world financial challenges, preparing you for careers in finance, consulting, and technology sectors worldwide. 

Optional modules in areas like Corporate Finance and Business Intelligence allow for flexible learning to match individual career goals. A major project and optional work placement provide valuable practical experience. With a strong focus on applied learning and 100% coursework assessment for most modules, the programme is ideal for international students looking to enhance their global employability.

Taught modules

Compulsory modules

  • Emerging Financial Technologies

    You will be introduced to the technologies reshaping the financial sector, focusing on how emerging tools (including AI) and data infrastructures are driving change, competition, and innovation. You wil look at the rise of open and distributed, decentralised systems that challenge traditional financial intermediaries and create opportunities for new market entrants.

  • Core Concepts in Finance

    The module provides the necessary foundation for the study of finance, comprising three areas of knowledge and understanding:

    • Foundational concepts, theories and instruments in finance
    • Financial statements and their interpretation
    • Mathematical and statistical tools.

    This is required knowledge for other finance modules in the programme, for understanding the academic literature in finance, and for careers in finance. The development of Excel and Bloomberg skills are integrated into the module.

  • Investment and Asset Management

    You will gain hands-on experience of building a diversified portfolio, hedging using derivatives, and analysing its performance and risk using the Bloomberg Terminal. The fundamentals learnt in this module will be particularly beneficial for a career in asset management, investment banking, wealth management, etc. The module will be of interest to anyone pursuing or planning to pursue Chartered Financial Analyst (CFA) Level 1.

  • The Practice of Data Analysis

    You will learn how to examine data and use statistics to help businesses, to formulate strategies and make decisions. You will learn essential concepts that underpin areas such as business analytics, data mining, data analytics, big data and artificial intelligence. you will work with diverse datasets, learn how to prepare these and test basic models of analytics.

  • Business Analytics

    You will learn how to conduct data preparation, pre-processing, reduction, visualisation and modelling before you interpret and gain further insights from the data. You will learn how to use several analytical tools such as Python and AWS cloud platform. This module guides students on how to use data extensively and explores trending concepts and topics such as LLM and AI. 

  • Developing Skills for Leadership and Employability

    You’ll develop self-awareness of your own strengths and weaknesses as an effective leader and team player. This module will help you develop and improve a range of definable skills which are pivotal to successful management practice and effective leadership across sectors.

    You’ll progress essential skills such as the confidence and the ability to articulate your skills and attributes that are required for professional development, lifelong learning and employment. You’ll also have the opportunity to explore different leadership perspectives on ethics, Equality, Diversity and Inclusion (EDI), sustainability, technoology and change.

  • Applied Project

    This one semester long taught final project module allows students to concentrate on topics that are of particular interest to them, and it draws upon a range of different aspects of the programme, particularly the analytical skills they learn throughout the course. Students will take this taught module and be guided towards the completion of their selected topic/project. It also allows students to work independently and manage a project from planning to its completion.
     

  • Enterprising Work Placement - Compulsory for Sandwich Mode only

    You'll expand your enterprise skills in the context of the workplace. The focus will be on building your intrapreneurial mindsets during your placement, helping you to develop the curiosity, creativity, vision and resilience to be successful in a variety of organisations. You'll draw on the OBBS Golden Thread and Brookes attributes embedded within your degree, for you to be a change agent on your placement, so you drive innovation in one or more of the following areas: ethical business behaviour, inclusivity, responsible management, sustainability, digitalisation and internationalisation. Drawing on on your research skills you'll propose evidence based innovative solutions to your placement organisations’ challenges.

Optional modules

  • Business Intelligence

    This module provides an overview of the technology of BI and the application of BI to an organisation’s strategies and goals. You will apply data extensively using theory and knowledge to perform statistical and quantitative analysis to drive business decisions and actions. Then you will learn the business intelligence techniques and skills to understand, evaluate and interpret business and performance metrics and tools, in order to improve individual and organisational performance, and use this to inform and update organisational policies and procedures.

  • Corporate Finance

    You will be introduced to the principles and practice of corporate financial management. You will learn how organisations manage their finances, how they decide what investments to undertake and what dividends to pay. You will learn the core techniques used to measure the creation of value and, at the same time, develop a critical perspective in evaluating corporate finance theory.

  • Academic English for Postgraduate Studies

    You will have the opportunity to build self-awareness of your academic competencies and you will be given strategies to develop these independently. These strategies address key aspects of postgraduate study such as 

    • criticality
    • source use
    • academic voice 
    • and writing development. 

    Materials are drawn from your fields of study to enhance the relevance and impact on progress. This module is key for Business students who have had little or no previous academic English training or UK university experience.

  • International Business in Practice: Study Trip

    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 firms, receive presentations from global academic experts, and tour company facilities. You’ll also have direct interaction with management executives and practices through site visits to major corporations and agencies. 

    All costs associated with the trip will need to be funded by you. It is not linked to university assessments in any way. If you successfully complete this module you will have it recorded on your transcript. As the destination and therefore precise costs vary from year to year, the programme fee of the study trip will be communicated to students before the application deadline.

Please note: As our courses are reviewed regularly as part of our quality assurance framework, the modules you can choose from may vary from those shown here. The structure of the course may also mean some modules are not available to you.

Research

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.

Lecturer explaning their research

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 Staff

Dr Ahmad Abd Rabuh

I contributed to the validation of the new MSc Finance and Analytics programme in light of our innovative IDEAS framework that is consistent with my school's daily mission of "inspiring minds with insight and ambition"

Read more about Ahmad

Dr Tzameret Rubin

Tzameret gained her PhD in Economics from Macquarie University, Sydney, Australia and a Masters in Economics (Finance) from Technion University, Israel. Before her PhD, Tzameret worked for nearly a decade in the high-tech sector, and post her PhD she worked at the National ICT Australia (NICTA) Institute, and advised the NSW State Chief Scientist. This experience enhances both her academic and enterprise-related work.

Read more about Tzameret

Dr Xu Huang

Dr Xu Huang is Principal Lecturer in Business Analytics and Programme Lead of the Analytics, Information System and Operations Subject Group at Oxford Brookes Business School

Read more about Xu

Dr Zeeshan Ali

Zeeshan is a Senior Lecturer in Business Analytics at Oxford Brookes University with over a decade of experience in higher education, industry-aligned research, and curriculum design. I lead modules such as Business Analytics and The Practice of Data Analysis, integrating cutting-edge tools like AWS, Python, and PowerBI to bridge academic rigor with real-world applications.

Read more about Zeeshan

Entry requirements

International qualifications and equivalences

How to apply

Application process

Tuition fees

Please see the fees note
2026 / 27
Home (UK) full time
£12,300

Home (UK) part time
£6,150

Home (UK) sandwich (placement)
£3,100 (extended)

International full time
£19,600

International sandwich (placement)
£3,100 (extended)

Questions about fees?

Contact Student Finance on:

Tuition fees

2026 / 27
Home (UK) full time
£12,300

Home (UK) part time
£6,150

Home (UK) sandwich (placement)
£3,100 (extended)

International full time
£19,600

International sandwich (placement)
£3,100 (extended)

Questions about fees?

Contact Student Finance on:

+44 (0)1865 534400

financefees@brookes.ac.uk

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

Additional costs

Please be aware that some courses will involve some additional costs that are not covered by your fees. Specific additional costs for this course are detailed below.

Funding your studies

Financial support and scholarships

Featured funding opportunities available for this course.

All financial support and scholarships

View all funding opportunities for this course

Information from Discover Uni

Full-time study

Part-time study

Programme changes:
On rare occasions we may need to make changes to our course programmes after they have been published on the website. For more information, please visit our changes to programmes page.