About Msc Data Analytics With Banking And Finance in Sheffield Hallam University

• 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.

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.

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

Our previous Big Data Analytics graduates have gone on to work for

• the 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

All of our courses require different levels of qualifications for entry and the details provided below are for guidance only.

Postgraduate taught programmes (masters)

The following qualifications will be considered for entry on to postgraduate taught programmes,

• three year Bachelor Degree with a minimum score of between 55 to 60 per cent or above (from a reputable university)
• four year Bachelor Degree with a minimum score of 55 per cent or above (from a reputable university)
• Successful completion of a recognised pre-masters course

English Language entry requirements are listed in the entry requirements section of the online prospectus. The information provided below is intended to help you understand the different English Language qualifications we will accept.

Courses at NQF Level 6 and above (includes BA, BSc, MA, MSc, MPhil, PhD)

We consider the following English language qualifications for courses at degree level (NQF Level 6) or above requiring

an IELTS for UKVI* 6.0 or equivalent entry requirement (*IELTS may be accepted if you do not require a Tier 4 student visa)

IELTS for UKVI*      

• IELTS for UKVI* 6.5
• Listening: minimum level 5.5
• Speaking: minimum level 5.5
• Reading: minimum level 5.5
• Writing: minimum level 5.5

TOEFL 

• Internet based    90
• Listening: minimum level 17
• Speaking: minimum level 20
• Reading: minimum level 18
• Writing: minimum level 17

Pearson    

• PTE 60
• Listening: minimum level 51
• Speaking: minimum level 51
• Reading: minimum level 51
• Writing: minimum level 51

Sheffield Hallam University Highlights

Sheffield Hallam University The Average Tuition Fees And Other Expenses

*the costs are estimated and may vary.