This Data Analytics with Banking & Finance programme from Sheffield Hallam University will help you to develop the skills you need to become an excellent data analyst, applying your skills to finance, banking and investment.
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.
Prepare candidates 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.
This course explores the application of data analytics in financial industries. You will work with contemporary platforms including cutting-edge SAS analytics software and Bloomberg financial terminals.
In the business part of the course, you 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:
individual and group projects
contemporary software platforms
This course prepares you for a career in:
statistical analysis and machine learning techniques
database and programming technologies
marketing and insight
data and technology
Our previous Big Data Analytics graduates have gone on to work for:
the Bank of England
Some of the associated careers in these fields are:
customer insight analyst
credit risk analyst
big data architect
business intelligence developer
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.
You will be able to complete a placement year as part of this course. See the modules table below for further information.
Advanced Portfolio Management
Banking And Financial Markets
Data Analytics: Tools And Techniques
Introduction To Databases And Big Data
Research Skills And Dissertation
Study Skills And Project Management
Equipment and facilities
In this course, you work with leading-edge software including:
Undergraduate degree academic qualification with the 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'.
Home: £8,490 for the course without placement or £9,690 with placement
International/EU: £14,460 for the course without placement or £15,660 with placement