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2022 - 20232023 - 2024
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Please note that the information provided relates to the current academic year and is subject to change without notice by Sheffield Hallam University. 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.
  • 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 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. YYou 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 context of financial industries. You learn through
  • teaching sessions
  • learning materials
  • recommended readings
  • problem-based learning
  • individual and group projects
  • contemporary software platforms
**Applied learning Live projects** 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. Networking opportunities 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.

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. 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 15 Data Analytics: Tools And Techniques 30 Finance 15 Global Financial Markets 15 Industrial Expertise 15 Introduction To Databases And Big Data 15 Postgraduate Placement - Research Skills And Dissertation 60 Study Skills And Project Management 15

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)6IELTS score of 6.0 with a minimum of 5.5 in all skills or equivalent.
TOEFL (iBT)79Listening: minimum level 17 Speaking: minimum level 20 Reading: minimum level 18 Writing: minimum level 17
Cambridge English AdvancedCListening: minimum score 162 Speaking: minimum score 162 Reading: minimum score 162 Writing: minimum score 162
PTE Academic52Listening: minimum level 51 Speaking: minimum level 51 Reading: minimum level 51 Writing: minimum level 51

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Currently applications for the September 2022 start of this course are only open to home students. Please see our online prospectus for further details. Please refer to our website for up-to-date information on costs and fees for both full-time and part-time postgraduate study options: https://www.shu.ac.uk/study-here
Data Analytics with Banking and Finance at Sheffield Hallam University - UCAS