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Year of Entry 2021/22
MSc

Data Analytics with Banking and Finance

Full-time Computing

Develop the skills you need to become an excellent data analyst, applying your skills to finance, banking and investment.


Everything you need to know...

What is the fee? Home: £8,490 for the course without a placement or £9,690 with a placement
International/EU: £14,460 for the course without placement or £15,660 with a placement
How long will I study? 1 Year / 2 Years
Where will I study? City Campus
When do I start? September 2021
Placement year available? Yes

University of the Year for Teaching Quality, The Sunday Times Good Univeristy Guide 2020

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

Course leaders and tutors

Seun Ajao
Seun Ajao
Course Leader MSc Data Analytics with Banking and Finance

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.


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

Where will I study?

You study at City Campus through a structured mix of online lessons and face-to-face teaching with access to digital and online resources to support your learning.

City Campus

City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.

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Location

Howard Street
Sheffield
S1 1WB

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Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.

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Equipment and facilities

On this course you work with leading edge software including

  • Bloomberg Terminals
  • SAS
  • SAP HaDoop
  • MapReduce
  • Java
  • MSQL

Entry requirements

All students

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.

Additional information for EU/International students

If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page. You can also watch a video guide on how to apply.

For details of English language entry requirements (IELTS), please see the information for 'All students'.


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 can take an optional placement in year three.

Compulsory modules
Module Credits
Module: Advanced Data Management Project Credits: 45
Module: Advanced Portfolio Management Credits: 15
Module: Banking And Financial Markets Credits: 15
Module: Finance Credits: 15
Module: Introduction To Databases And Big Data Credits: 15
Module: Postgraduate Placement Credits: -
Module: Research Skills And Dissertation Credits: 60
Module: Study Skills And Project Management Credits: 15

Fees and funding

Home students

Our tuition fee for UK students starting full-time study in 2021/22 is £8,490 for the course without a placement. Or £9,690 with a placement.

† If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations.

International students

Our tuition fee for International/EU students starting full-time study in 2021/22 is £14,460 for the course without work experience placement or £15,660 with work experience placement.

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Additional course costs

This link allows you to view estimated costs associated with the main activities on specific courses. These are estimates and, as such, are only an indication of additional course costs. Actual costs can vary greatly depending on the choices you make during your course.

Additional costs for Computing courses (PDF)

Legal information

Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.

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How do I apply?

You apply for this course via our online application form.

You can also use the application form above to apply for future years of entry. If you require an alternate version of the application form, please email directadmissions@shu.ac.uk.

Not ready to apply just yet?

Why not come to our next open day? Open days are the perfect place to talk to staff and students, visit our campuses and get all the information you need. Alternatively, feel free to ask us a question.

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Find out more about Sheffield Hallam's postgraduate opportunities and community.

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