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| Program start date | Application deadline |
| 2026-09-01 | - |
| 2027-01-01 | - |
Program Overview
MSc Business Analytics
The MSc Business Analytics degree from Robert Gordon University is designed to prepare students to work with and analyze data effectively to inform business decisions and processes. Students will learn to design, commission, manage, and deliver data projects and develop the skills and knowledge required to access, analyze, and visualize data for business applications.
Course Overview
The course is designed in response to a recognized shortfall of managers and employees with data analysis skills and knowledge. It brings together a community of data professionals and academics to bridge this skills gap and provides students with the necessary knowledge and tools for a successful career.
Mode of Study
The course is available in the following modes of study:
- On Campus: Full-time or part-time
- Online Learning: Part-time
Mode of Attendance
The course is available in the following modes of attendance:
- Full-time: 12 months (on campus) or 17 months (on campus with a January start)
- Part-time: 28-33 months (on campus or online learning) or 32-36 months (on campus or online learning with a January start)
Course Length
The course length varies depending on the mode of study and attendance:
- Full-time: 12 months (on campus) or 17 months (on campus with a January start)
- Part-time: 28-33 months (on campus or online learning) or 32-36 months (on campus or online learning with a January start)
What You Will Study
The course is divided into three stages:
- Stage 1: Students will develop the knowledge and skills to select appropriate tools and techniques to collect and manage data and to develop decision-making processes based on data analysis.
- Stage 2: Students will learn to employ data visualization and business intelligence software to explore, analyze, and present data for a range of audiences.
- Stage 3: Students will research, develop, and deliver a Business Analytics project, integrating the skills and knowledge developed in the earlier stages of the course.
Course & Module Information
Modules and delivery order may change for operational purposes. The University regularly reviews its courses, and course content and structure may change over time.
Activity Summary
Students will engage with the course through online or on-campus learning materials, lectures, tutorials, industry-led workshops, and live client projects. These comprise a mix of group study, discussion, simulation, and presentations of findings by teams and individuals.
Assessment
Students are typically assessed through:
- Written assignments, including essays
- Reports
- Dissertation (or project)
- Portfolios
- Practical skills assessments
Feedback
The University aims to provide students with feedback within 20 working days of hand-in for all written exams, coursework, and practical exams.
Staff Delivering on This Course
The teaching team has industry, professorial, and doctoral knowledge of underpinning subjects. They bring experience from a variety of professional backgrounds, including computing, digital marketing, digital media, e-commerce, data management, and information management.
Independent Study
The course requires students to become independent 'open learners' and take responsibility for when, where, and how their learning occurs. Students will spend approximately 15-20 hours per week working on their own, undertaking research, preparing for group activities, and preparing for class activities.
Academic Support
The Inclusion Centre advises and supports students who disclose a sensory or mobility impairment, chronic medical condition, mental health issue, dyslexia, and other specific learning differences.
Online Learning & Support
All undergraduate and postgraduate students, whether learning on campus or by online learning, benefit from using the University's collaborative virtual learning environment, Moodle.
Study Skills Support
The Study Support Team provides training and support to all students in:
- Academic writing
- Study skills (note-taking, exam techniques, time management, presentation)
- Maths and statistics
- Information technology support
Library Support
The Library offers support for the course, including the books, eBooks, and journals students will need. The Library also offers online reading lists for many modules, workshops, and drop-ins on searching skills and referencing.
Placements
This course does not feature a separate placement, but it features industry projects throughout, ensuring students leave with a portfolio of industry projects on their CV and an enhanced professional network.
Job Prospects
The course is designed to meet the recognized shortfall of digital and data competencies. There is considerable demand for individuals who can initiate and manage data analytics projects, understand legal and ethical considerations in working with data, shape data cultures across organizations, and communicate the results of data science and analytics projects to a range of stakeholders and audiences.
Possible Roles
Possible roles for graduates of this course include:
- Business Analytics Manager
- Business Intelligence Officer
- Digital Analytics Manager
- Insight Analyst
Entry Requirements
Applicants normally hold a 2:2 undergraduate honors degree or its equivalent in any subject area. Applicants with a lower degree classification and/or relevant work experience will be considered on a case-by-case basis.
English Language Requirements
Applicants whose first language is not English should have an IELTS of 6.0 overall, with no component lower than 5.5, or an equivalent.
Fees & Funding
The fees for this course vary depending on the mode of study and attendance. For the most up-to-date information, please visit the University's website.
Additional Costs
Some other costs are not included in the course fees, such as:
- The cost of books that students may wish to purchase
- Costs associated with any placement/study abroad
- Accommodation and living costs
- Printing
Alumni Discount
Robert Gordon University is delighted to offer a 20% discount on course fees for all alumni who have graduated from RGU.
Student Funding
Postgraduate students will normally make their own arrangements for payment of fees. However, there are a limited number of SAAS-funded places on certain postgraduate courses.
Scholarships and Financial Awards
Students may qualify for a scholarship or financial award. For more information, please visit the University's website.
The Data Lab
There are a limited number of free places on selected Master's courses funded by The Data Lab, which aims to develop the data science talent and skills required by industry in Scotland.