Everything you need to know...
- Learn to use industry-leading software including SAS and HaDoop.
- Gain hands-on knowledge of data storage, data mining and statistical modelling techniques.
- Study aspects related to the distribution and integration of data with emphasis on the business context.
- Prepare for jobs with salaries ranging from Â£35,000 - Â£80,000.
Big data analysis is essential for companies to understand their customers better, develop new products and cut operational costs. This course has been developed in consultation with our industry contacts to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. This course offers a two year work experience route including a placement of up to 12 months.
How you learn
Your lecturer's view
This course explores statistics, computing and management to help you develop the core skills and expertise needed by a data scientist. You learn about data analytics (including statistical modelling and data mining), systems development (including big data and distributed systems), data integration, how data is stored and utilised, and the core skills around professionalism and research.
You learn through
- teaching sessions
- learning materials
- recommended readings
- problem-based learning
- group projects
- contemporary software platforms
Course leaders and tutors
You will be provided with the opportunity to work on a real, work-based projects supplied by an external company. You will utilise your skills and knowledge gained from the earlier studies of topics such as data integration, statistical modelling, big data and distributed systems, to situations of genuine complexity.
You may be able to study abroad as part of the Erasmus programme.
The teaching team make use of their research and industry connections to facilitate the inclusion of real work scenarios and case studies within the teaching materials of many of the modules.
You will have the opportunity to go on a work placement for up to 12 months. You are supported in finding placements and can apply for a vacancy as you would like a job. There are dedicated sessions to support you in CV writing, interview skills and job applications.
The placement starts during the summer of your second year and most are paid. Apply for the placement route by selecting the two year course length.
This course prepares you for a career in
- statistical analysis and machine learning techniques
- database and programming technologies
- statistical theory
Previous graduates of this course have gone on to work for
- the Bank of England
- INC Research
- Axis Bank
Where will I study?
You study at City Campus
City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.City Campus map
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.Learn more
Equipment and facilities
On this course you work with
- leading edge software including SAS, SAP Hana, HaDoop, MapReduce, Java, MSQL
A good honours degree in computing, computer science, maths or statistics or other relevant areas or equivalent.
We consider your application if you do not have a relevant degree but have at least one year's direct work experience in computing or a relevant area. You may also be able to claim credit points which can reduce the amount of time it takes to complete your qualification at Sheffield Hallam. Find out more
Non-native speakers of English need an IELTS score of 6.0 with 5.5 in all skills (or equivalent). If your English language skill is currently below an IELTS score of 6.0 with a minimum of 5.5 in all skills we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English level.
Additional information for EU/International students
This course is not open to international students who require a Tier 4 (General) student visa to study in the UK. If you are an international applicant but do not require a Tier 4 (General) student visa, contact our Admissions Team to find out whether you’re eligible to apply.
The modules for 2019/20 may vary to those given below, which are for academic year 2018/19
|Module: Advanced Data Management Project||Credits: 45||
|Module: Data Analytics: Tools And Techniques||Credits: 30||
|Module: Industrial Expertise||Credits: 15|
|Module: Programming Concepts And Practice||Credits: 15|
|Module: Study Skills And Project Management||Credits: 15|
|Module: Research Skills And Dissertation||Credits: 60|
Fees and funding
Our tuition fee for UK/EU students starting full-time study in 2019/20 is £7,200 for the course. For part-time study the fee will be calculated pro-rata each year based on the number of credits studied.
† 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.
Postgraduate student loans
Up to £10,906 available for UK and EU students on most masters courses.
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)
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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