Data Science (Business and Management) (Taught)

Course summary

The inexorable rise of the digital world, driven by the rapid development of AI, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in the worlds of business, sport, medicine, space exploration and more. Our MSc Data Science (Business and Management) course prepares you for a successful career in this high-demand field by applying data to real business decisions. You will develop invaluable abilities in key area’s such as:

data analysis;

project design;

computational methods;

data stewardship;

business analytics.

This course focusses particularly on the data techniques and uses that are most relevant to business and management, with optional course units exploring themes such as business creation and AI in finance. We welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data. By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more. Previous students have gone on to roles such as data scientists, civil servants, consultants, researchers, entrepreneurs, business analysts and in AI- related roles. This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.

Entry requirements

High 2:1 honours degree (or overseas equivalent) For this pathway, we normally expect applicants to hold a degree in a quantitative or computational subject such as mathematics, statistics, management science or economics, physics, engineering or computer science. Applicants with extensive Business and Management industrial experience combined with an honours degree in a quantitative subject may also be considered for admission. In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: data analytics and/or statistics; computational subjects; and pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.

English language requirements

Test	Grade	Additional details
IELTS (Academic)	7	IELTS Academic test score of 7 overall with no component score below 6.5
TOEFL (iBT)	100	TOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757

Applicants whose first language is not English should meet the following language requirements: IELTS Academic test score of 7 overall with no component score below 6.5 TOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757 Pearson Test of English (PTE) score of 76 overall and no component score below 70 Pre-Sessional English Courses We will consider applicants who do not meet these scores but you may be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course. To be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores: 6 Week Pre-Sessional Course : IELTS 6.5 overall with 6.0 in each sub-skill 10 Week Pre-sessional Course : IELTS 6.0 overall with 6.0 in three sub-skills, and 5.5 in no more than one sub-skill If you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate to ensure that you are eligible for a separate visa for the English language course.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

We offer a number of postgraduate taught scholarships and merit awards to outstanding applicants and international students. In addition, the Manchester Alumni Scholarship Scheme offers a £3,000 reduction in tuition fees to University of Manchester alumni who achieved a First class Bachelor's degree and are progressing to a postgraduate taught master's course. For more information, see our Fees and funding page.