MSc Data Analytics with Banking and Finance (Work Experience)

Year of Entry 2024/25
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Data Analytics with Banking and Finance (Work Experience)

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...

  • Pound sign

    What is the fee?

    Home: £10,310 or £11,810 (with work experience) for the course
    International/EU: £17,205 or £18,705 (with work experience) for the course

  • Time

    How long will I study?

    2 Years

  • Location

    Where will I study?

    City Campus

  • Date

    When do I start?

    September 2024

  • Avatar

    Placement year available?


Course summary

  • 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.
  • This course will prepare you for analytics jobs in financial services.

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. A 1-year, non-work experience route is also offered for this course, please see MSc Data Analytics with Banking and Finance to find out more. 

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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’ll work with contemporary platforms including cutting-edge SAS analytics software and Bloomberg financial terminals.

In the business part of the course, you will 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 the context of financial industries.

You learn through

  • Teaching sessions
  • Learning materials
  • Recommended readings
  • Problem-based learning
  • Individual and group projects
  • Contemporary software platforms

This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.

Applied learning

Work placements

You’ll have the opportunity to complete a year-long work placement. A placement is widely recognised as the gold standard opportunity to gain personal and professional development through real-world experience. 

You will be encouraged to take up this opportunity, as it will benefit your long-term career prospects, as well as your academic achievements and degree classification. Your course will prepare you to succeed in your placement and you will be supported throughout it. 

Your placement will allow you to apply the knowledge and skills gained on your course. 

You’ll also be supported to take advantage of work experience opportunities throughout your course, through access to a range of support activities, resources, and employer events from your Employability Team. This will further enhance your employability skillset, confidence, and opportunity-awareness to help you succeed in your career after graduating.

Live projects

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.

Networking opportunities

Many of the course modules include real-world work scenarios and case studies, thanks to the teaching team's 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.

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.

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

Previous graduates of this course have gone on to work for the following companies

  • 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 lectures, seminars and practical sessions as well as 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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S1 1WB

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Learn more about your department

Computing facilities tour

Take a look around the facilities and equipment in the Department of Computing at Sheffield Hallam University.


Equipment and facilities

On this course, you will work with technologies such as

  • Bloomberg Terminals
  • SAS
  • MySQL
  • MongoDB

Entry requirements

All students

Normally an undergraduate degree at 2:2 or above, in a related field.

If English is not your first language, you will 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.

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


Important notice: The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page.

You will be able to complete a placement year as part of this course. See the modules table below for further information.

Year 1

Compulsory modules

Advanced Portfolio Management
Credits 15
Assessment Coursework(100%)
Data Analytics: Tools And Techniques
Credits 30
Assessment Coursework(40%) , Practical(60%)
Dissertation For Computing
Credits 45
Assessment Coursework(100%)
Credits 15
Assessment Coursework(100%)
Global Financial Markets
Credits 15
Assessment Coursework(100%)
Industrial Expertise
Credits 15
Assessment Coursework(100%)
Introduction To Databases And Big Data
Credits 15
Assessment Coursework(100%)
Postgraduate Placement
Credits -
Research Skills For Computing
Credits 15
Assessment Coursework(100%)
Study Skills And Project Management
Credits 15
Assessment Coursework(100%)

Fees and funding

Home students

Our tuition fee for UK students starting full-time study in 2024/25 is £10,310 for the course without work experience placement or £11,810 with work experience 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 2024/25 is £17,205 for the course without work experience placement or £18,705 with work experience placement.

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Postgraduate student loans

Up to £11,222 available for Home students on most masters courses.

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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, 330.6KB)

Legal information

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


How do I apply?

You apply for this course via our online application form.

Apply for September 2024

You can also use the application form above to apply for future years of entry.

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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Why choose us?

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We are Gold rated in the Teaching Excellence Framework (TEF) for the outstanding quality of our teaching and student outcomes

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We guarantee to find you an affordable place to live that’s close to campus and comes with all bills included

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95% of our UK graduates are in work or further study 15 months after graduating (2020/21 Graduate Outcomes Survey)

Where next?

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

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Information for international students

Information for international students including entry requirements by country and funding.

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