Sheffield Hallam University: Data Analytics with Banking and Finance

Summary

Course summary - 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

• 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.

MSc