University of Stirling

University of Stirling

Data Science for Business

This new programme is in response to the growing relevance of big data analytics in business decision making. Insights from conversations with business leaders across the private and public sectors clearly indicate the growing influence of data analytics in organisations across all sectors and the need for capacity building in this area.
 Evidence shows that there is no lack of data scientists but a shortage of business leaders and managers with a good working knowledge of data science. This is the specific issue that the MSc in Data Science for Business addresses.
 The programme is designed to provide students with a deep understanding of the industrial and scientific relevance of advanced analytics and their application in strategic and operational decision making for organisations across all sectors. It does this by blending knowledge and skills in data analytics, business decision making and leadership. In addition, there is a particular emphasis on personal and professional development to help build individual capability to support career development.

Entry requirements

A minimum of a 2nd-class honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply. If English is not your 1st language you must have one of the following qualifications as evidence of your English language skills: IELTS: 6.0 with 5.5 minimum in each skill. Cambridge Certificate of Proficiency in English (CPE): Grade C or above. Cambridge Certificate of Advanced English (CAE): Grade C or above. Pearson Test of English (Academic): 54 with 51 in each component. IBT TOEFL: 80 with no subtest less than 17.

Course modules

Semester 1: Flying Start Leadership Programme. Core modules: Personal and professional development; big data: scientific and commercial applications; business analytics 1; business analytics 2; the future of technology, society and organisations.
Semester 2: Group Consultancy Project in Data Science for Business: Students choose TWO modules (40 Credits) from the following electives in Semester 2: MSc Data Science for Business students specialising in Finance, Marketing, Data Science or Energy elective modules (which will be selected from a portfolio that is currently subject to academic approval): Risk management in banking; investment and portfolio management; digital marketing and advertising; contemporary issues in marketing; cluster computing; big data analytics; behavioural economics ii: business and policy applications; economics of climate change; energy management and sustainability in practice. 
MSc Data Science for Business students specialising in Management elective modules: New venture creation; innovation management; managing change; project management; corporate governance; leadership and responsible business; managing in emerging economies.
Semester 3 All students must complete a Research Project over the Summer Semester. This will take the form of a Dissertation or Consultancy project.


Qualification Study mode Start month Fee Course duration
MSc Full-time September 2016 - 12 months

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