UCAS code N3I2
BSc Finance and Data Analytics is a CFA University Affiliated Programme and a named academic partner for CQF Institute.
The BSc Finance and Data Analytics blends together the areas of finance and data analytics and equips you with the knowledge, skills, and abilities to follow a range of careers, e.g. finance and consulting.
The first year equips you with the foundational knowledge of finance and introduces you to Python, the programming language. The second year develops your understanding of advanced finance theories and their implications for the industry. You will learn to use Python and industry-leading datasets to empirically test finance theories. You will also learn to use data visualisation techniques to communicate your insights with the audience.
During the third year, you will deepen your knowledge of the finance industry and have the opportunity to take cutting-edge modules such as Data Mining and Machine Learning. You will also develop a range of transferable skills, including flexibility, problem-solving ability, commercial awareness, and communication, which are highly valued by employers.
Studying Finance with Data Analytics at Liverpool will enable you to reach your full potential as you will benefit from our range of industry links and research expertise in addition to being exposed to our cutting-edge curriculum, the state-of-the-art computer room, and innovative teaching methodologies.
The University of Liverpool Management School holds accreditation from AACSB, AMBA and EQUIS. This makes it one of an elite group of institutions worldwide to hold the gold standard triple accreditation.
BSc Finance and Data Analytics is recognised by the CFA University Affiliation Program. This important accreditation is given to academic institutions that embed at least 70% of the CFA Program Candidate Body of Knowledge (CBOK) into their curriculum and who’s teaching focuses on industry and ethics-based investment education. Through this, our students are well prepared to take the CFA exams.
This course is also recognised as CQF Institute’s Academic Partners, which represent the best in financial education around the world. The Academic Partnership Program is dedicated to supporting the professional development of students studying in the field of finance and quantitative finance.
Students can register as free members and will benefit from a wealth of resources at the Institute, including leading industry insights via technical conferences and talks, networking with key decision makers and career opportunities from top financial companies.
AACSB Accreditation Standards require a high quality teaching environment, a commitment to continuous improvement, and curricula responsive to the needs of businesses. This achievement means that the Management School meets specific standards of excellence. It also means it's committed to on-going improvement in delivering high quality education.
AMBA is the highest standard of achievement in postgraduate business education. MBA students and graduates, business schools and employers all recognise it as a gold standard. AMBA's rigorous criteria and assessment process ensure that only programmes that demonstrate the highest standards in teaching, learning and curriculum design; career development and employability; and student, alumni and employer interaction achieve accreditation.
The CQF Institute's Academic Partners represent the best in financial education around the world. The Academic Partnership Program is dedicated to supporting the professional development of students studying in the field of finance and quantitative finance.
Students can register as free members and will benefit from a wealth of resources at the Institute, including leading industry insights via technical conferences and talks, networking with key decision makers and career opportunities from top financial companies.
The School is also accredited by EQUIS, which is the leading international system of quality assessment, improvement and accreditation of higher education institutions in management and business administration. Institutions that are accredited by EQUIS must demonstrate not only high general quality in all dimensions of their activities, but also a high degree of internationalisation and corporate connections.
We want you to feel welcome from the moment you apply to study at Liverpool. We offer lots of support for our students who are moving from abroad. We can welcome you at Manchester Airport with our meet and greet service (for September starts) and we have a friendly International Advice and Guidance team who run events to welcome you on to campus and provide in person support and events all year round.
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
Develop foundational knowledge of accounting, finance, and data analytics. Learn about key concepts, datasets and their implications for decision-making. You will also begin to explore data analytics and computational methods by using Python to write computer codes to solve finance problems. In addition to technical skills, you will also develop key employability skills that will be important in your future career.
Programme details and modules listed are illustrative only and subject to change.
You will build upon the foundations of first year to learn about advanced finance theories and evaluate their implications for the business world. You will also learn to theoretically evaluate key concepts and how to leverage financial datasets to evaluate their empirical relevance. In so doing, you will improve your analytical skills and learn to use Tableau to prepare insightful visual elements, combining your knowledge of finance theory, programming, and econometrics.
Programme details and modules listed are illustrative only and subject to change.
You will develop your understanding of the key players in the financial sector, their business models, the key asset classes in financial markets and the impact of technology on the finance sector. Further develop Python programming skills by learning about topics such as data mining and machine learning. You will have the unique opportunity to put your knowledge of finance, Python programming, and data analytics to practice by completing a year-long research project analysing a substantive finance issue. This is a great opportunity to develop and demonstrate key skills desired by graduate employers.
In the first semester, students will select one optional module between Financial Crises and Defaults (ACFI319) and Data Mining and Machine Learning (ACFI331). In the second semester, students will choose two optional modules from the following: Behavioural Finance (ACFI311), Corporate Governance (ACFI320), Financial Technology (ACFI332), Institutional Investors and Alternative Investments (ACFI333).
| Compulsory modules | Credits |
|---|---|
| DERIVATIVE SECURITIES (ACFI310) | 15 |
| BANKING AND THE FINANCIAL SYSTEM (ACFI330) | 15 |
| FINANCIAL RISK MANAGEMENT (ACFI342) | 15 |
| PROJECT IN FINANCE (ACFI318) | 30 |
Programme details and modules listed are illustrative only and subject to change.
During the lectures, you will be exposed to the key ideas as well as the latest academic research and case studies. You will engage with the subject through a range of activities, including live polls, class activities, and class room discussions. The knowledge from the lecture is reinforced by small-group seminars where you will put your knowledge into practice.
You are normally expected to prepare work in advance for seminars and may be expected to present work or give presentations from time to time. On several modules, the seminars take the form of practical sessions in the McKenzie computer suite, where you will use data from leading financial sources, e.g. Bloomberg, Datastream, and Compustat, to test key finance theories. This practical approach enables you to not only learn about theory but also to be able to empirically evaluate its practical relevance. Furthermore, the module leader will provide guidance in the form of suggested readings based on academic journals or newspapers articles.
The degree features E-learning and blended learning methods. You will be able to pre-learn and prepare for each teaching session by accessing the lecture materials on the virtual learning environment (VLE) ahead of each lecture. Furthermore, you will have access to the recording of individual sessions thus giving you the opportunity to revise the material at your own pace and time. The VLE will also be used to share digital material, e.g. videos, podcasts, and articles, highlighting the recent business events that are connected to the key concepts discussed in-class.
You will be assessed through a combination of individual and group-based activities. The methods of assessment include the written examination, the employability portfolio, the (pre-recorded) video presentation, the multiple choice question, the poster presentation, the referee report, the pitchbook, and the visualisation dashboard. The exact method(s) of assessments and weight(s) will vary from one module to another.
We have a distinctive approach to education, the Liverpool Curriculum Framework, which focuses on research-connected teaching, active learning, and authentic assessment to ensure our students graduate as digitally fluent and confident global citizens.
The Liverpool Curriculum framework sets out our distinctive approach to education. Our teaching staff support our students to develop academic knowledge, skills, and understanding alongside our graduate attributes:
Our curriculum is characterised by the three Liverpool Hallmarks:
All this is underpinned by our core value of inclusivity and commitment to providing a curriculum that is accessible to all students.
The qualifications and exam results you'll need to apply for this course.
| Qualification | Details |
|---|---|
| International Baccalaureate | 28 points overall with no score less than 4, or Pass the IB Diploma plus 5,5,4 in 3 HL subjects. Plus a minimum of 6 in SL Maths or 5 in HL Maths and 5 in SL/HL English A or 7 in SL English B or 6 in HL English B |
| HKDSE | 443 from 2 electives plus one core subject (excluding Citizenship and Social Development) and a minimum grade 4 in core Mathematics. Grade 4 (with no component less than 4) in HKDSE English Language |
| India Standard XII | Overall average of 65% from four core subjects, a minimum of 75% in English dependent on exam board (not including Hindi, Regional Language, Environmental Education and PE) and a minimum of 60% for Standard X Maths. |
Studying with us means you can tailor your degree to suit you. Here's what is available on this course.
University of Liverpool students can choose from an exciting range of study placements at partner universities worldwide. Choose to spend a year at XJTLU in China or a year or semester at an institution of your choice.
Immerse yourself in Chinese culture on an optional additional year at Xi'an Jiaotong Liverpool University in stunning Suzhou.
Broaden your world by spending an additional year of study at a partner university abroad following your second year of study.
Take a semester of your second year of study at one of our worldwide partner institutions.
Spend a summer abroad on a study placement or research project at one of our worldwide partner institutions.
Year in industry placements give you an in-depth workplace experience where you can develop your skills and apply your learning.
If you'd like to undertake a year in industry, you can transfer to Finance and Data Analytics with a Year in Industry BSc (Hons) during your studies, subject to meeting the academic requirements of your course.
To spend a year in industry, you'll need to secure a placement with an organisation. If you're unable to find a placement, you'll continue with the standard version of the course without a year in industry.
Every student at The University of Liverpool can study a language as part of, or alongside their degree. You can choose:
Day-to-day teaching takes place in the Management School, a world leading centre for management and leadership education and research. You will have access to extensive library facilities, industry-leading databases, such as Bloomberg and Wharton Research Data Services, and a state-of-the-art computer room (McKenzie Suite).
From arrival to alumni, we’re with you all the way:
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Undertaking this Finance and Data Analytics degree will ensure you study a curriculum inspired by the growing demand for graduates in this field developing in you all the skills which are highly valued by employers.
This course will help you develop the knowledge, skills and abilities needed to successfully pursue careers in:
There will also be the possibility to pursue further degrees, including a taught postgraduate degree (e.g. MSc) or a research degree (e.g. PhD under the ESRC 1+3 route).
Your tuition fee covers almost everything, but you may have additional study costs to consider, such as books, specialist equipment or field trips.
Full-time place, per year - £9,535
Year in industry fee - £1,905
Year abroad fee - £1,430 (applies to year in China)
Full-time place, per year - £25,000
Year in industry fee - £1,905
Year abroad fee - £12,500 (applies to year in China)
The tuition fees shown are correct for 2025/26 entry. Please note that the year abroad fee also applies to the year in China.
Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support. Learn more about paying for your studies.
All students have the opportunity to spend a semester studying overseas during their second year, subject to your year one performance. If you elect to study abroad you will need to cover associated travel and living costs. University travel bursaries and subsistence grants are available.
Find out more about the additional study costs that may apply to this course.
We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.
If you’re a high-achieving international student starting an undergraduate degree with us from September 2024, you could be eligible to receive a fee discount of up to £5,000. You’ll need to achieve grades equivalent to AAA in A levels. Most of our undergraduate degrees are eligible, with the exception of clinical programmes in Medicine and Dental Surgery.
Completed a Kaplan Digital Pathways Foundation Certificate? We’re offering a £5,000 fee discount off the first year of undergraduate study for a maximum of two high achieving students joining one of our non-clinical degrees from an online Kaplan Foundation Certificate.
Apply to receive tailored training support to enhance your sporting performance. Our athlete support package includes a range of benefits, from bespoke strength and conditioning training to physiotherapy sessions and one-to-one nutritional advice.
Completed a Foundation Certificate at University of Liverpool International College (UoLIC)? We’re offering a £5,000 fee discount off the first year of undergraduate study to some of the highest achieving students joining one of our non-clinical degrees from UoLIC.
We’re offering a £1,000 fee discount for years 2 and 3 of undergraduate study to eligible students progressing from University of Liverpool International College. You’ll need to be studying a non-clinical subject and get an average of 70% or above in year 1 of your degree.
If you’re a University of Liverpool International College student awarded a Kaplan Impact Scholarship, we’ll also consider you for an Impact Progression Scholarship. If selected, you’ll receive a £3,000 fee discount off the first year of your undergraduate degree.
Last updated 7 July 2025 / / Programme terms and conditions