Everything you need to know...
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What is the fee?
Home: £10,620 for the course
International/EU: £17,725 for the course -
How long will I study?
1 Year
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Where will I study?
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When do I start?
September 2025
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.
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.
Come to an open day
Find out more at our postgraduate open days. Book now for your place.
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.
Course leaders and tutors
Your lecturer's view
Watch course leader Dr Seun Ajao talk about this course.
Applied learning
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.
Future careers
The course prepares you for computing employment by integrating technical content that’s aligned with industry demands, ensuring relevance. We continuously adapt to industry advancements, collaborating with subject matter experts and industry connections to keep up to date with the latest industry trends and requirements.
This course prepares you for a career in fields such as:
- Marketing and customer analysis
- Investment analysis
- Digital analysis
- Data science
- Credit risk analysis
- Fraud analysis
- Big data architecture
- Business intelligence development
Previous graduates of this course have gone on to develop successful careers in senior roles and worked for companies including:
- Bank of England
- OCF
- HSBC
- INC Research
- Axis Bank
Where will I study?
You study at City Campus through a structured mix of lectures, seminars and practical sessions as well as access to digital and online resources to support your learning.
City Campus
City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.
City Campus map | City Campus tour
Adsetts library
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.
Learn moreLearn more about your department
Computing facilities tour
Take a look around the facilities and equipment in the Department of Computing at Sheffield Hallam University.
Equipment and facilities
You’ll learn across our Extended Campus of flexible physical and digital spaces – which support applied learning, working, teaching and collaboration. On campus the Computing Department will be your home space, with areas to engage in course activities and meet students, staff and employers.
On this course you’ll work with technologies such as:
- Bloomberg Portal
- SAS
- R Studio
- Python
Entry requirements
All students
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.
Additional information for EU/International students
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.
For details of English language entry requirements (IELTS), please see the information for 'All students'.
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
Fees and funding
Home students
Our tuition fee for UK students starting full-time study in 2025/26 is £10,620 for the course.
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 in our terms and conditions under student fees regulations.
International students
Our tuition fee for International/EU students starting full-time study in 2025/26 is £17,725 for the course.
Postgraduate student loans
Up to £11,222 available for Home students on most masters courses.
Additional course costs
The links below allow you to view estimated general course additional costs, as well as costs associated with key activities on specific courses. These are estimates and are intended only as an indication of potential additional expenses. Actual costs can vary greatly depending on the choices you make during your course.
General course additional costs
Additional costs for School of Computing and Digital Technologies (PDF, 131.3KB)Legal information
Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.
