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Data Science for Business at University of Stirling - UCAS

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Course summary

The demand for specialist data science skills is growing. Data analyst and scientist roles are in the top 5 fastest growing jobs between 2023 and 2027 (Source: The Future of Jobs Report 2023, World Economic Forum). Our graduates in MSc Data Science for Business are highly sought-after for their analytical expertise. We'll make sure you have the skills to help organisations make informed decisions. This is a Masters conversion course designed to help you switch to a new career field or advance your skills in data science. We welcome applicants from different educational backgrounds. A blend of specialised and soft business skills This course blends data analytics, business and management skills. Specialised skills include Python, R and Machine Learning. You’ll develop key skills in communication, project management, leadership and time management. This mix will give you flexibility for a data science career in different sectors. You’ll gain knowledge and experience to apply in data analytics roles. These roles are Data Scientists, Data Analyst, Business Analyst or Data Manager. Working with business Our course has been developed with input from: SAS, a global leader in business analytics solutions; HSBC, a leading financial services organisation; The Data Lab, a leading research and innovation centre in data science. Our students benefit from a wide range of learning and networking events. These events connect organisations seeking business analytics skills with students looking for opportunities. Practical opportunities Opportunities are available to do a 3-month consultancy project instead of a dissertation. Past students have worked on projects with: NHS Diageo Visit Scotland Volunteer Scotland SQA Stirling Council AMG Group We are AACSB accredited The University of Stirling is accredited by the Association to Advance Collegiate Schools of Business (AACSB). AACSB International is the world's largest global standard-setting body for business education. Only 6% of the world’s leading business schools achieve this accreditation. This recognises our excellence in business education and societal impact.

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.


English language requirements

For further information on English Language requirements, please see the university website: https://www.stir.ac.uk/international/international-students/english-language-requirements/


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

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/

Data Science for Business at University of Stirling - UCAS