Course summary
The course addresses the acknowledged shortage of business leaders and managers with a detailed working knowledge of data analytics. It provides students with a deep understanding of the industrial and scientific relevance of advanced analytics and their application in strategic and operational decision making. In doing so it develops graduates with highly sought after blend of data analytics, business acumen and advanced management skills. The course gives you the opportunity to develop specialist skills by choosing elective modules from finance, marketing, data science and management. You’ll work in real life consultancy-style projects alongside industry leaders in data analytics. Our extensive network of external organisations across all sectors provides opportunities to build your knowledge, skills and experience for a successful career in business analytic roles.
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.
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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
for further information on course costs, please refer to the University website; https://www.stir.ac.uk/courses/?filter__level=Postgraduate&filter__method=&filter__faculty=&filter__startdate=
Sponsorship information
For information on funding and scholarships, please see here: https://www.stir.ac.uk/study/fees-funding/postgraduate-loans-and-funding/
Provider information
University of Stirling
Stirling
FK9 4LA