Everything you need to know...
International: £13,905 for the course
- Master industry-leading systems such as SAS for statistical data analysis and HaDoop for data storage and processing.
- 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.
How you learn
This course explores the application of data analytics in financial industries. You will work with contemporary platforms including cutting-edge SAS, Hadoop, and Bloomberg 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 context of financial industries.
You learn through
- teaching sessions
- learning materials
- recommended readings
- problem-based learning
- individual and group projects
- contemporary software platforms
Course leaders and tutors
You will study real company case studies and data and work on live or emulated industry projects. You will utilise the skills and knowledge you learn on your technical and business modules to complex projects in the context of financial industries.
The teaching team make use of their research and industry connections to include real work scenarios and case studies within many of the modules.
There are many industries that make use of the skills developed on the course once you have graduated, including pharmaceuticals, finance, marketing, retail and the public sector.
Organisations such as Amazon, Facebook, UK Ministry of Defence, HSBC and GSK all make use of data management/analytics extensively to help them to better understand their customers and to make informed business decisions. IBM ranked these jobs as one of the most difficult for employers to recruit, due in part to the shortage of skilled data scientists.
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
Our previous Big Data Analytics graduates have gone on to work for
- the Bank of England
- 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
City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.City Campus map
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.Learn more
Equipment and facilities
On this course you work with leading edge software including
- Bloomberg Terminals
- SAP HaDoop
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. You can also watch a video guide on how to apply.
For details of English language entry requirements (IELTS), please see the information for 'All students'.
You can take an optional placement in year three.
|Module: Advanced Data Management Project||Credits: 45||
|Module: Advanced Portfolio Management||Credits: 15||
|Module: Banking And Financial Markets||Credits: 15||
|Module: Finance||Credits: 15||
|Module: Introduction To Databases And Big Data||Credits: 15||
|Module: Study Skills And Project Management||Credits: 15||
|Module: Postgraduate Placement||Credits: -|
|Module: Research Skills And Dissertation||Credits: 60|
Fees and funding
Our tuition fee for UK/EU students starting full-time study in 2020/21 is £7,420 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.
Our tuition fee for international students starting full-time study in 2020/21 is £13,905 for the course.
Postgraduate student loans
Up to £10,906 available for UK and EU 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)
Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.
Responsible for this course?
Find out how you can update the information on this page.