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MSc Data Science for Business (Online)

Study online and gain the skills and knowledge needed for a successful career in business analytics roles.

Data Science for Business (Online)

Key facts

  • Award Masters / MSc, Postgraduate Diploma, Postgraduate Certificate
  • Start date September or January
  • Duration 28 months
  • Mode of study Online, Part-time, Stand-alone modules

Take your place on the cutting edge of today’s evolving business landscape with our online MSc in Data Science for Business.

The course equips you to become a data-driven leader against a backdrop of rapid change, in which businesses are increasingly relying on big data to make their most important decisions. Globally, the demand for data scientists has grown at a faster rate than supply – with a 344% increase in job postings in the field since 2013 (Indeed, 2019). The Tech Partnership UK estimates there will be 56,000 big data jobs in the UK alone by 2020, yet 77% of companies say it’s difficult to recruit people with the big data skills they need. By studying our online Masters, you’ll be perfectly positioned to meet this growing demand.   

As you progress on the course, you’ll develop highly sought-after skills, including:

  • An understanding of the industrial and scientific relevance of analytics
  • The ability to apply data-led insights in strategic decision-making
  • Business acumen and advanced management know-how

Real-world case studies and a focus on current business issues give you the opportunity to develop a deeper understanding of the use of data analytics in solving the challenges you'll encounter in the workplace.

The entire course is studied online, enabling you to fit your studies around personal and professional demands. You’ll learn through a combination of video lectures, live webinars and course materials that are easy to access wherever you are, whenever it works for you. Our intuitive learning hub also offers collaborative tools that make it simple to connect with tutors and fellow students, creating a rich online environment built around human-centred learning.


The University of Stirling Management School

At the University of Stirling Management School, the principle of responsible business, policy and practice is central to everything we do. This vision helps us to equip our students effectively with the skills to act as global citizens, capable of addressing the needs of society. As a member of the Chartered Association for Business Schools, we have strong links with industry and were recently awarded the Small Business Charter for engagement with local and regional enterprise. 

  • Top reasons to study with us
  • Course objectives

    Over the duration of the course you'll:

    • Acquire knowledge, skills and experience for a successful career in data driven roles
    • Understand the applications and implications of data analytics in organisations across different sectors
    • Develop knowledge and skills of data analytics tools and techniques for business decision making
    • Enhance your capabilities and confidence for championing data analytic projects
    • Enhance and develop critical, analytical, interpersonal and other transferable skills
  • Flexible learning

    If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma then please email Graduate Admissions to discuss your course of study.

  • Research

    The University of Stirling Management School is rated among the top 25 in the UK for research impact, according to REF 2014. In Scotland, the School was ranked in the top five.

    64% of our research outputs were classified as world-leading and internationally excellent in terms of their originality, significance and rigour. We were ranked 14th in the UK in terms of research impact with over 60% of our research impact judged to have outstanding reach and wide-ranging impact on the policies of public, private and governmental organisations.

  • Academic requirements

    A minimum of a second class Honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.

  • English language requirements

    If English is not your first 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 C1 Advanced (CAE) 169 with minimum of 162 in each skill
    • Cambridge C2 Proficiency (CPE) 180 with minimum 162 in each skill
    • Pearson Test of English Academic (PTE) 54 with 51 in each component
    • IBT TOEFL 80 with no subtest less than 17
    • IELA 169 with no subtest less than 162

    For more information on ways that you can meet our English language requirements, including options to waive the requirement, please read our information on English language requirements.

Our MSc Data Science for Business online course equips you to make strategic business decisions rooted in big data.

Data scientists are becoming increasingly valued by companies who understand that good data analysis can help them to improve customer service, identify problems or opportunities in their workflows, and achieve sustainable growth.

To make sure you’re ready to meet the challenges businesses are facing, the course focuses on giving you:

  • An understanding of the diversity of organisations, their process, systems and opportunities for the application of data science.
  • Knowledge and skills of data analytics tools and techniques for business decision making.
  • An ability to design and apply business research methods.
  • The ability to understand the impact of global environmental forces on organisations, including: legal and political systems; demographics; ethical, social, and technological change issues on data driven organisations.
  • Enhanced personal, critical, analytical, interpersonal, leadership and entrepreneurial skills.

The course is delivered entirely online through our intuitive learning platform. You’ll have access to a wide range of resources, including:

  • Video lectures
  • Live webinars
  • Day-to-day support from online tutors
  • Collaborative activities with fellow students
  • Core module materials, documentation and reading lists
  • Journals, ebooks and software

An internet connection is required to study this course, and our learning platform is accessible via desktop, laptop and mobile devices. See more details on the specific modules you'll study below. 

 

Modules

The modules listed below are those currently intended for delivery in the next academic intake of this course. These may be subject to change as the University regularly revises and refreshes the curriculum of our taught programmes.

Course Details

  • Teaching

    You’ll learn through a combination of video lectures, live webinars and course materials that are easy to access wherever you are, whenever it works for you. Our intuitive learning hub also offers collaborative tools that make it easy to connect with tutors and fellow students, creating a rich online environment built around human-centred learning. You'll also have access to an extensive database of ebooks and journals, and free software such as Office 365.

  • Assessment

    The course uses a variety of assessment methods ranging from individual assignments, group assignments, business reports, online class tests, examinations, individual and group presentations and research design.

    Assignments and essays are used to test research skills with a strong emphasis on critical analysis and reflective insights. The assignments also provide the opportunity to develop and assess your management communication skills and capability with key software packages, while presentations provide a test of oral communication skills, as well as providing another mechanism for assessing case study analysis.

    Feedback on Assessment

    Students will receive feedback on coursework within three weeks of completion of the assessment. Feedback is usually provided electronically on formal coursework. Feedback and Guidance sessions with teaching staff are available on all modules. These provide regular opportunities to discuss feedback further. See more information about feedback on assessment.

  • Course director
  • Key staff

    Professor John Bowers, Module Co-ordinator Project Management

    Dr Alexander Brownlee, Module Co-ordinator Big Data Analytics

    Dr Gerry Edgar, Module Co-ordinator Business Analytics

    Dr Seda Erdem, Module Co-ordinator Statistics for R

    Dr Tom Kane, Module Co-ordinator Business Consulting

    Dr Carol Marshall, Module Co-ordinator Personal and Professional Development

    Dr Najib Murad, Module Co-ordinator Consultancy Project

    Dr Kevin Swingler, Module Co-ordinator Representing and Manipulating Data; and Relational and Non-relational Databases

     

  • Fees and costs

    Home/EU

    Overseas

    Notes

    £9,250

    £9,250

    Cost for full programme

    Please note: Your fees will be held level upon entry. If you need to extend your period of study, you may be liable for an additional fee.

  • Scholarships and funding

    Scholarship opportunities for the MSc Data Science for Business Online are still to be determined and more information will be available here in due course.

    If you have the talent, ability and drive to study with us, we want to make sure you make the most of the opportunity – regardless of your financial circumstances.

    Learn more about available funding opportunities or use our scholarship finder to explore our range of scholarships.

  • Additional costs

    There are some instances where additional fees may apply. Depending on your chosen course, you may need to pay additional costs, for example for field trips. Learn more about additional fees.

  • Payment options

    We aim to be as flexible as possible, and offer a wide range of payment methods - including the option to pay fees by instalments. Learn more about how to pay

Our online MSc Data Science for Business was developed in partnership with industry and is designed to produce graduates with the skills that companies need. You'll be equipped for roles such as:

  • Data analyst
  • Data Scientist
  • Enterprise Architect
  • Machine Learning Scientist
  • Business Intelligence Developer

Demand for people with data analytics skills is projected to grow rapidly. Average salaries are higher in data analytics jobs than the IT average, and the skills shortage will further enhance employment prospects for data-aware graduates. The Tech Partnership UK estimate that big data professionals earn on average 31% more than other IT professionals.

A 2014 report by Egon Zehnder and the Kellog School of Management states that “all leaders need a working knowledge of data science” and that “there is no lack of data scientist, rather a lack of data-ready managers”. Our Masters course helps you to become a pioneering, data-driven leader. You’ll graduate with a blend of skills in data analytics and business management.

HigherEd Global Talent Portal

As a Management School student, you have access to the HigherEd Global Talent Portal where you’ll find internship, trainee positions, apprenticeships and graduate positions from companies around the world. It helps international students looking for placements back at home and local students that want to explore an international experience.

The global talent portal is in addition to all other existing initiatives and resources available for you through the Careers and Employability Service, and the Target Connect vacancy and events system.

  • Employability skills

    Everything you do while studying on our course is designed to help you build the skills that will make you stand out to future employers.

    The course has a high level of engagement with industry, research and recruitment partners in the course design, delivery, project work and skill development activities. 

    You'll graduate with the ability to:

    • Apply consultancy skills in projects.
    • Champion data analytics projects across all types of organisations.
    • Design and apply business research methods.
    • Understand the impact of global environmental forces on organisations, including: legal and political systems; demographics; ethical, social, and technological change issues on data driven organisations.

     

Jewel Nguyen MSc Data Science for Business
I studied MSc Data Science for Business and what I liked most was the diversity of students on the course, with students of different backgrounds, countries and ages.
Jewel Nguyen
Vietnam MSc Data Science for Business
Read full testimonial View more testimonials
Anita George
The employability and personal development workshops held as part of my course were instrumental in helping me build the transferable skills required to go into the workplace.
Anita George
India MSc Data Science for Business
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