Skip navigation
Data Analytics with Banking and Finance at Sheffield Hallam University - UCAS

Course options

2025 - 2026
Apply

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Please check the Sheffield Hallam University website for the latest information. Course summary

  • Learn how to use software such as SAS, R and Python.
  • Gain the skills and knowledge to statistically model data.
  • Learn how to use the Bloomberg portal to access live industry data.
  • Develop an understanding of investment skills and risk management.
  • Understand portfolio management to achieve financial goals.
Our Data Analytics with Banking and Finance course shows you how to address business challenges by using analytics tools to manipulate and investigate live industry datasets. You’ll further develop your skills in areas such as investment management, finance stability, sustainability and strategy. How you learn All our courses are designed around a set of key principles based on the application of knowledge. You’ill engage with the Hallam community and beyond, collaborating with experts in your areas of interest, and being challenged to think in new ways – all in a supportive environment in which you can thrive. This course focuses on developing core competencies in data management and analytics while integrating key financial principles. You’ll use industry-standard software and packages – including the Bloomberg portal – to access live industry data for further analysis. Through this dataset, you’ll be tackling real-world challenges as part of the course. The combination of teaching methods applied across the course will allow you to develop a range of skills – from practical implementation to problem-solving activities and teamwork. You’ll also develop your research skills so you can undertake a significant piece of work related to the discipline. You get to choose your dissertation project – which allows you to further specialise in an area you might like to pursue as a career – while being supported by a dedicated academic supervisor. You learn through:
  • Lectures
  • Hands-on tutorial sessions and seminars
  • Regular feedback
  • Teamwork
  • Group/project-based learning
  • Critical thinking and problem-solving
  • Practice-based applied learning
  • Discussions
  • Self-study
Key themes The course starts by teaching you core skills across data analytics, including your skills in programming across languages such as R and Python. Using SAS, you’ll also develop an understanding of statistical modelling – covering areas such as supervised and unsupervised machine learning, and principal component analysis (PCA). The aim is to reduce large volumes of data into more digestible insights. You’ll then progress your understanding of investment management and financial stability, creating and critically evaluating investment opportunities and strategies. You’ll examine and manage their risks using financial derivatives – asset exchanges and contract agreements such as futures, options and swaps. This is all underpinned by exploration of regulatory financial policies and strategies for managing environmental and social risks. You’ll practise these skills through hands-on projects, use of the Bloomberg portal for live data, and your research-led dissertation project – preparing you for diverse roles in the finance sector. Work Experience This course also has a work experience route that offers a placement in industry of up to 12 months. For further information, please see MSc Data Analytics with Banking and Finance (Work Experience) Networking Opportunities You’ll have numerous networking opportunities and ways to develop your career, from career fairs and workshops to employer presentations and visits. You’ll also be able to seek guidance from professional advisers. The course provides a unique blend of academic and practical exposure by integrating guest lecture talks and networking opportunities within the curriculum. These offer insights into the practical application of cutting-edge technologies and best practices.

Modules

Important notice: The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page. Final year Compulsory modules Computing Research Project Data Analytics: Tools And Techniques Financial Stability, Regulation And Sustainability Introduction To Programming For Big Data Investment Management And Derivatives Research Skills For Computing

Assessment method

Coursework Pratical

How to apply

International applicants

Work Placement Route For international students wishing to undertake a placement as part of this course, you must apply to the work experience route. Click here to go to the MSc Data Analytics With Banking and Finance course page. Transferring to the work experience route later will not be possible due to visa restrictions.

Entry requirements

Undergraduate degree academic qualification with classification of 2:2 or equivalent in Computing, Computer Science, Maths or Statistics, Data Analytics, Data Science or other relevant areas, or appropriate work experience. Applicants who have acquired significant knowledge and skills in data analytics, database design and development using industry standard platforms and development environments or significant experience in financial technologies would be considered for admission. If you are an International or non-UK European student, you need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page.

English language requirements

TestGradeAdditional details
IELTS (Academic)6If you are an International or non-UK European student, you need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

If you are an International or non-UK European student, you need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

Please click the following link to find out more about English language requirements for this course:

https://www.shu.ac.uk/Courses/Computing/MSc-Data-Analytics-with-Banking-and-Finance/Full-time/

Fees and funding

Tuition fees

England £9535 Year 1
Northern Ireland £9535 Year 1
Scotland £9535 Year 1
Wales £9535 Year 1
Channel Islands £9535 Year 1
Republic of Ireland £9535 Year 1
EU £17155 Year 1
International £17155 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Our tuition fee for UK students on full-time undergraduate degree courses in 2025/26 is £9,535 per year. These fees are regulated by the UK government and therefore subject to change in future years. During your placement year you will pay a reduced fee of £1,200. If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found at https://www.shu.ac.uk/study-here/terms-and-conditions-and-student-regulations under student fees regulations. Our tuition fee for International/EU students starting full-time study in 2025/26 is £17,155 per year. During your placement year you will pay a reduced fee of £1,200. Please refer to our website for up-to-date information on costs and fees: https://www.shu.ac.uk/study-here/undergraduate/fees

Sponsorship information

Scholarships, discounts and bursaries may be available to students who study this course.

Data Analytics with Banking and Finance at Sheffield Hallam University - UCAS