Data Analytics with Banking and Finance

**Please check the Sheffield Hallam University website for the latest information.** <br/><br/>**Course summary**<br/>- Master industry-leading systems such as SAS for statistical data analysis, SQL for data manipulation and MongoDB for unstructured datasets.<br/><br/><br/>- Learn and apply statistical data modelling, data storage and data mining techniques.<br/><br/><br/>- Gain specific knowledge related to financial services, consultancy, regulation, supervision and compliance.<br/><br/><br/>- This course will prepare you for analytics jobs in financial services.<br/><br/><br/>On this course, youll gain a firm handle on data analytics and its role in banking and finance. Youll 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 youre able to hit the ground running as soon as you graduate.<br/><br/>**How you learn**<br/>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.<br/><br/>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.<br/><br/>In the business part of the course, you will examine and scrutinise the fundamental concepts of banking, finance and investment.<br/><br/>You will also learn technical skills associated with data analytics and apply these skills in the context of financial industries.<br/><br/>You learn through:<br/><br/><br/>- Teaching sessions<br/><br/><br/>- Learning materials<br/><br/><br/>- Recommended readings<br/><br/><br/>- Problem-based learning<br/><br/><br/>- Individual and group projects<br/><br/><br/>- Contemporary software platforms<br/><br/><br/>This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.<br/><br/>**Applied learning**<br/>**Live projects**<br/>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.<br/><br/>**Networking opportunities**<br/>Many of the course modules include real-world work scenarios and case studies, thanks to the teaching teams 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.<br/><br/>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.<br/><br/>**Future careers**<br/>This course prepares you for a career in:<br/><br/><br/>- Statistical analysis and machine learning techniques<br/><br/><br/>- Database and programming technologies<br/><br/><br/>- Statistical theory<br/><br/><br/>- Marketing and insight<br/><br/><br/>- Credit risk<br/><br/><br/>- Data and technology<br/><br/><br/>- Digital analytics<br/><br/><br/>- Data science<br/><br/><br/>Previous graduates of this course have gone on to work for the following companies:<br/><br/><br/>- Bank of England<br/><br/><br/>- OCF<br/><br/><br/>- HSBC<br/><br/><br/>- INC Research<br/><br/><br/>- Axis Bank<br/><br/><br/>Some of the associated careers in these fields are:<br/><br/><br/>- Customer insight analyst<br/><br/><br/>- Credit risk analyst<br/><br/><br/>- Fraud analyst<br/><br/><br/>- Forensic analyst<br/><br/><br/>- Big data architect<br/><br/><br/>- Business intelligence developer<br/><br/><br/>- Digital analyst<br/><br/><br/>- Data scientist<br/>