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University of Lancashire: Finance and Data Analytics
| Institution | University of Lancashire |
|---|---|
| Department | School of Business |
| Web | http://www.lancashire.ac.uk |
| cenquiries@lancashire.ac.uk | |
| Telephone | 01772 892400 |
| Study type | Taught |
Master of Science (Hons)
Summary
Course Overview
Learn to interpret financial data and apply advanced analytical techniques to support strategic decision-making. This course combines finance and data analytics, using the FactSet platform, to prepare you for success in a data-driven global economy.
Our MSc Finance and Data Analytics, co-designed with academic and industry experts, gives you the financial insight, analytical capability, and practical experience to be a future leader in finance, data analytics, and business intelligence.
This course integrates advanced financial management with applied data analysis, enabling you to graduate with the technical knowledge and strategic understanding required to make evidence-based decisions in global business contexts. You’ll gain the skills to evaluate complex data, assess financial risk, and design solutions that support sustainable performance and growth.
You will explore areas such as financial modelling, investment strategy, risk management, and data analytics while developing your analytical and problem-solving skills. You’ll apply industry insight to understand how financial systems operate, evolve, and innovate in response to global market challenges. Alongside commercial awareness and critical thinking, you’ll learn to interpret data, manage uncertainty, and drive financial decision-making across industries.
With access to FactSet financial software, you’ll use the same professional tools as leading firms to analyse live data, evaluate market trends, and build a professional portfolio of analytical work.
To prepare you for the competitive global job market, you’ll earn digital micro-credentials from Microsoft, Google, and LinkedIn, enhancing your CV and developing specialist expertise in financial analytics, data-driven strategy, and leadership.
Why study with us
-
Develop digital fluency with FactSet financial software to analyse real-time data and build professional portfolios using the platforms relied upon across global finance.
-
Use the latest financial data to interpret complex datasets, transforming information into insight that supports business and investment strategy.
-
Gain adaptable skills for roles in finance, fintech, analytics, and risk management, opening career opportunities across both financial and technology sectors.
What you'll do
-
Develop investment and analytical fluency with FactSet, using real-time market data to evaluate performance and build professional portfolios aligned with global finance practice.
-
Use advanced financial datasets to interpret complex information and generate insight that informs business, investment, and organisational strategy across diverse sectors.
-
Engage with experts and research in the Centre for Business Futures, exploring digital finance and data-driven decision making that shapes future financial strategy.
Future Careers
The MSc Finance and Data Analytics opens diverse and high-demand career paths across finance, analytics, and technology. You’ll graduate ready to interpret data, assess risk, and make evidence-based financial decisions.
Career options include:
-
Financial Analyst
-
Data Analyst
-
Business Analyst
-
FinTech Specialist
-
Risk or Quantitative Analyst
-
Business Consultant
-
Entrepreneur or Business Start-Up Founder
You’ll also benefit from career coaching, employer networking and structured feedback to support your progression and professional confidence.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants would normally have a first degree at an Honours level at classification 2:2 or a Postgraduate Diploma (or equivalent) or above Candidates with professional qualifications and/or work experience will be considered on a case-by-case basis and may be asked to attend a 45-minute interview to discuss their background and interest in the course For learners for whom English is not their first language, a score of at least 6.0 with no component score lower than 5.5 in IELTS or equivalent. For the block delivery, a score of at least 6.0 with no component score lower than 5.5 in IELTS or English as a medium of instruction or English as first language in the workplace is required |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview
Learn to interpret financial data and apply advanced analytical techniques to support strategic decision-making. This course combines finance and data analytics, using the FactSet platform, to prepare you for success in a data-driven global economy.
Our MSc Finance and Data Analytics, co-designed with academic and industry experts, gives you the financial insight, analytical capability, and practical experience to be a future leader in finance, data analytics, and business intelligence.
This course integrates advanced financial management with applied data analysis, enabling you to graduate with the technical knowledge and strategic understanding required to make evidence-based decisions in global business contexts. You’ll gain the skills to evaluate complex data, assess financial risk, and design solutions that support sustainable performance and growth.
You will explore areas such as financial modelling, investment strategy, risk management, and data analytics while developing your analytical and problem-solving skills. You’ll apply industry insight to understand how financial systems operate, evolve, and innovate in response to global market challenges. Alongside commercial awareness and critical thinking, you’ll learn to interpret data, manage uncertainty, and drive financial decision-making across industries.
With access to FactSet financial software, you’ll use the same professional tools as leading firms to analyse live data, evaluate market trends, and build a professional portfolio of analytical work.
To prepare you for the competitive global job market, you’ll earn digital micro-credentials from Microsoft, Google, and LinkedIn, enhancing your CV and developing specialist expertise in financial analytics, data-driven strategy, and leadership.
Why study with us
-
Develop digital fluency with FactSet financial software to analyse real-time data and build professional portfolios using the platforms relied upon across global finance.
-
Use the latest financial data to interpret complex datasets, transforming information into insight that supports business and investment strategy.
-
Gain adaptable skills for roles in finance, fintech, analytics, and risk management, opening career opportunities across both financial and technology sectors.
What you'll do
-
Develop investment and analytical fluency with FactSet, using real-time market data to evaluate performance and build professional portfolios aligned with global finance practice.
-
Use advanced financial datasets to interpret complex information and generate insight that informs business, investment, and organisational strategy across diverse sectors.
-
Engage with experts and research in the Centre for Business Futures, exploring digital finance and data-driven decision making that shapes future financial strategy.
Future Careers
The MSc Finance and Data Analytics opens diverse and high-demand career paths across finance, analytics, and technology. You’ll graduate ready to interpret data, assess risk, and make evidence-based financial decisions.
Career options include:
-
Financial Analyst
-
Data Analyst
-
Business Analyst
-
FinTech Specialist
-
Risk or Quantitative Analyst
-
Business Consultant
-
Entrepreneur or Business Start-Up Founder
You’ll also benefit from career coaching, employer networking and structured feedback to support your progression and professional confidence.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants would normally have a first degree at an Honours level at classification 2:2 or a Postgraduate Diploma (or equivalent) or above Candidates with professional qualifications and/or work experience will be considered on a case-by-case basis and may be asked to attend a 45-minute interview to discuss their background and interest in the course For learners for whom English is not their first language, a score of at least 6.0 with no component score lower than 5.5 in IELTS or equivalent. For the block delivery, a score of at least 6.0 with no component score lower than 5.5 in IELTS or English as a medium of instruction or English as first language in the workplace is required |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
Summary
Course Overview
This course is taught through block learning
This course combines the study of finance, and the technical skills required for data analysis. You’ll develop a solid understanding of financial markets, while mastering the tools and techniques used in data analysis.
Our multidisciplinary course is designed to help you excel in roles in finance, data analysis, and the application of analytical tools.
This course will equip you with critical thinking, problem-solving, effective communication, analytical and research skills.
Why study with us
-
Learn the latest trends in financial data analytics, extracting actionable insights from data sources.
-
There is a high demand for skilled professionals, within the increasingly data driven financial sector.
-
You will be able to pursue a variety of roles, giving you versatility and choice across finance, quantitative analysis, fintech and risk management.
What you'll do
-
You'll analyse financial data using R software during your study, bridging the gap between theoretical knowledge and real-world application.
-
Access exclusive career resources, global networking, and university facilities to accelerate your professional growth.
-
Learn in focused blocks, allowing you to focus on one subject at a time and also have various options to choose from such as Capstone project or Research dissertation.
Future Careers
Completing an MSc in Finance & Data Analytics gives you access to a wide array of promising career paths. With the increasing use of data-driven decision-making in finance, graduates are in high demand.
Graduates are in high demand, with a wide variety of career options:
-
Financial Analyst - Analyse financial data to identify trends, forecast revenues, and provide recommendations.
-
Data Analyst - Work with financial and operational datasets to uncover insights, optimise processes, and drive business strategy.
-
Business Analyst - Create dashboards, reports to support decision-making within organisations.
-
FinTech Specialist - Work with financial technology companies, leveraging data analytics to improve products like mobile payments and digital lending.
-
Business Consultant - Work as a consultant to provide advice on finance, data and technology.
-
Business Start-up - Develop your own business.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants would normally have a first degree at an Honours level at classification 2:2 or a Postgraduate Diploma (or equivalent) or above Candidates with professional qualifications and/or work experience will be considered on a case-by-case basis and may be asked to attend a 45-minute interview to discuss their background and interest in the course For learners for whom English is not their first language, a score of at least 6.0 with no component score lower than 5.5 in IELTS or equivalent. For the block delivery, a score of at least 6.0 with no component score lower than 5.5 in IELTS or English as a medium of instruction or English as first language in the workplace is required |
| Location | Preston Campus University of Lancashire Preston PR1 2HE |
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