Everything you need to know...
International/EU: £17,205 per year (£1,500 for placement year)
Work Placement Route
For international students wishing to undertake a placement as part of this course, you must apply to the work experience route. Transferring to the work experience route later will not be possible due to visa restrictions.
Course summary
- Master industry-leading systems such as SAS for statistical data analysis, SQL for data manipulation and MongoDB for unstructured datasets
- Learn and apply statistical data modelling, data storage and data mining techniques
- Gain specific knowledge related to financial services, consultancy, regulation, supervision and compliance
- This course will prepare you for analytics jobs in financial services with competitive salaries
On this course, you'll gain a firm handle on data analytics and its role in banking and finance. You'll access real company live data, work with Bloomberg terminals, use cutting-edge software and get excellent real-world experience. The course is designed with industry input, so you're able to hit the ground running as soon as you graduate.
How you learn
All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.
This course explores the application of data analytics in financial industries. You’ll work with contemporary platforms including cutting-edge SAS analytics software and Bloomberg financial terminals.
In the business part of the course, you will examine and scrutinise the fundamental concepts of banking, finance and investment.
You will also learn technical skills associated with data analytics and apply these skills in the context of financial industries.
You learn through
- teaching sessions
- learning materials
- recommended readings
- problem-based learning
- individual and group projects
- contemporary software platforms
This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.
Course leaders and tutors
Your lecturer's view
Watch course leader Dr Seun Ajao talk about this course.
Applied learning
Work placements
You will have the opportunity to go on a work placement for up to 12 months, starting during the summer of your second year. You can apply for the placement route by selecting the two-year course length.
Live projects
You will examine real-world case studies and data, as well as work on live or simulated industry projects. You will apply the skills and knowledge you gained in your technical and business modules to complex projects in the context of the financial industries.
Networking opportunities
Many of the course modules include real-world work scenarios and case studies, thanks to the teaching team's research and industry connections. After completing the course, you will be able to apply your skills in a variety of industries, including pharmaceuticals, finance, marketing, retail, and the public sector.
Jobs in data management and analytics are critical for companies like Amazon, Facebook, the UK Ministry of Defence, HSBC, and GSK to better understand their customers and make informed business decisions. This is why IBM ranked these jobs as among the most difficult for employers to fill, owing to a scarcity of skilled data scientists. The course will provide you with the necessary industry skills to help you stand out in the job market.
Future careers
This course prepares you for a career in
- statistical analysis and machine learning techniques
- database and programming technologies
- statistical theory
- marketing and insight
- credit risk
- data and technology
- digital analytics
- data science
Previous graduates of this course have gone on to work for the following companies
- Bank of England
- OCF
- HSBC
- INC Research
- Axis Bank
Some of the associated careers in these fields are
- customer insight analyst
- credit risk analyst
- fraud analyst
- forensic analyst
- big data architect
- business intelligence developer
- digital analyst
- data scientist
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.
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Adsetts library
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.
Learn moreEquipment and facilities
On this course, you will work with technologies such as
- Bloomberg Terminals
- SAS
- MySQL
- MongoDB
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
Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances.
| Module | Credits | Assessment |
|---|---|---|
| Module: Advanced Portfolio Management | Credits: 15 |
Assessment:
Coursework |
| Module: Data Analytics: Tools And Techniques | Credits: 30 |
Assessment:
Coursework Practical |
| Module: Dissertation For Computing | Credits: 45 |
Assessment:
Coursework |
| Module: Finance | Credits: 15 |
Assessment:
Coursework |
| Module: Global Financial Markets | Credits: 15 |
Assessment:
Coursework |
| Module: Industrial Expertise | Credits: 15 |
Assessment:
Coursework |
| Module: Introduction To Databases And Big Data | Credits: 15 |
Assessment:
Coursework |
| Module: Research Skills For Computing | Credits: 15 |
Assessment:
Coursework |
| Module: Study Skills And Project Management | Credits: 15 |
Assessment:
Coursework |
Fees and funding
Home students
Our tuition fee for UK students starting full-time study in 2024/25 is £10,310 for the course without a placement. Or £11,810 with a placement.
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 2024/25 is £17,205 for the course. If you chose to study the 2 year work placement route, the tuition fee for 2024/25 is £18,885 for the course.
Postgraduate student loans
Up to £11,222 available for Home students on most masters courses.
Additional course costs
This link allows you to view estimated costs associated with the main activities on specific courses. These are estimates and, as such, are only an indication of additional course costs. Actual costs can vary greatly depending on the choices you make during your course.
Additional costs for Computing courses (PDF, 279.8KB)Legal information
Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.
