Data Science MSc
|Start date: September
Duration: 1 year full-time or 2/3 years part-time
Programme codes: INFT85 (full-time), INFT121 (3yr part-time), INFT158 (2yr part-time)
Accreditation: Accredited by the Chartered Institute of Library and Information Professionals (CILIP).
All organisations face the challenge of how to analyse and use data, and the most successful are those that handle and exploit it effectively. More and more organisations therefore want Data Scientists.
The full-time Data Science MSc is a 12 month programme, running from September to September. Teaching consists of two 15-week semesters, from late September to the following June. You will then write your dissertation and finish in mid-September.
Students studying part time will complete their course over two years.
Modules have a value of credits: 180 credits are required for graduation. 75 of these are compulsory (Core) modules, 45 are elective and 60 credits are allocated to the dissertation.
The Data Science MSc programme is aimed at graduate students with a good honours degree, who have enquiring minds, a practical and analytical approach to problem solving and an ambition for a career in this area. Work experience is not essential and you do not need prior knowledge of statistics or data analysis.
Standard Entry Requirements
You are normally expected to have a minimum 2:1 undergraduate honours degree, or its equivalent, in any subject discipline.
Work experience is not essential and you do not need prior knowledge of statistics or data analysis. However, the course is analytical and does require that you are prepared to learn and engage with more analytical and technical topics, such as data analysis, database design, data mining and data visualisation. The course does not involve programming but you will be expected to be able to make use of analytical and data-centric tools, such as R, SPSS and Oracle.
English Language Entry Requirements
If your first language is not English you need to provide documentary evidence of English Language competence. You must meet the following minimum requirements:
Details of other qualifications recognised by the University of Sheffield can be found on the English language requirements webpage. You can also compare grades for English language assessments on the English Language Teaching Centre website.
If your application is successful you may need to attend an English Language class in the University before or during the course.
Staged admissions process
Applications to this course are assessed using our staged admissions process.
In some cases, because of the high volume of applications we receive, we may need more time to assess your application. If this is the case, we will assess your application in the next stage. We will let you know if we intend to do this.
We may be able to consider applications received after 14 July 2020 if places are still available.
Study places are offered subject to availability. Given the popularity of these courses, places may not be available if you apply later in the cycle.
If we offer you a place, we will ask you to accept the offer and pay a tuition fee deposit (relevant International students only). If you do not accept the offer and pay the deposit within four weeks of the date of the offer letter, we may withdraw our offer.
You can find information about the process on our staged admissions web page:
If your application is successful we will invite you to attend an Open Day at the School. We hold these several times a year, and will inform you of possible dates when we contact you. Attendance at an open day is optional but will give you the opportunity to see our facilities and to meet the academic staff and current students.
There is currently no closing date for applications for the coming academic year, but we encourage you to apply as early as possible.
Your career prospects
Our course has been designed with employers to make sure you develop the skills they're looking for. The experience and skills you gain on this course will prepare you for a range of jobs within data management and analysis in a wide variety of sectors, ranging from local government to healthcare. You can find out more in the video on the right which features Andy Ball from business intelligence consultancy Peak Indicators.
What people are saying about careers in data science
Information from central government, vendors such as Oracle and IBM, and consultancies such as PWC and Accenture, shows that the area of Data Science is the growth area over the next five years, with predictions of 20,000 jobs being created in the sector year on year.
In their ‘Big Data Analytics: An assessment of the demand for labour and skills, 2012 – 2017’ report, e-Skills UK and SAS predicted “at least 28,000 openings for big data staff in the UK each year” by 2017.
The 2011 McKinsey Global Institute report predicted that by 2018 in the USA, there could be a shortage “of 140,000 to 190,000 people with the deep analytical skills and know-how needed to analyse data and discover new insights”.
What jobs could I do?
Individuals working in data science hold a variety of business-focused and data-focused roles including:
Who is employing graduates?
Recent graduates have been employed by:
The course lecturers are all research active in the areas that they teach. We also invite guest lecturers, who are leading thinkers and practitioners in the field so you will have a chance to talk with professionals about real life problems and solutions, as well as making contacts to build your professional network.
Our course team benefits from an industrial advisor who has experience in data science and business intelligence:
Anything else you’d like to know? Please get in touch on firstname.lastname@example.org.
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers.In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.