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

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Course summary

Please check the Sheffield Hallam University website for the latest information. 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.
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. Applied learning 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


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. Compulsory Modules Advanced Portfolio Management Data Analytics: Tools And Techniques Dissertation For Computing Finance Global Financial Markets Industrial Expertise Introduction To Databases And Big Data Research Skills For Computing Study Skills And Project Management

Assessment method

Coursework Pratical

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.

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:

Fees and funding

Tuition fees

No fee information has been provided for this course

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 postgraduate fees vary depending on course, level and mode of study. Each postgraduate course page tells you how much the tuition fees are, and what additional costs you might have to budget for during your studies. Please refer to our website for up-to-date information on costs and fees for both full-time and part-time postgraduate study options.

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