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MSC Data Analytics with Banking and Finance

MSC Data Analytics with Banking and Finance

Different course options

Full time | City Campus | 1 year | Contact University

Study mode

Full time


1 year

Start date

Contact University

Key information

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Banking Finance / Accounting (General)

Course type


Course 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

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 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

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.


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

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


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 will also be considered.

University information

When studying a postgraduate degree at Sheffield Hallam University, students will be working at the cutting edge of their discipline using the latest techniques, ideas, practices, and insights to address contemporary issues in their discipline, professional practice and the workplace. There are over 30,000 students at Sheffield Hallam University, and just over 6,000 of those are studying at postgraduate level. The university places a...more