Data Analytics For Business Decision-Making
Short Course - 15 credits at SCQF level 9
Join us on this short course where you will dive into the world of data analysis, modelling and visualisation. The course will help you leverage the benefits of data analytics for business and explore the opportunities that different technologies and software present. Develop your skill-set, leverage more value from your data and upskill in analytics with this 10 week course.
In light of the COVID-19 arrangements, the launch of this short course has been postponed until later in the year. To register your interest in this course, please email firstname.lastname@example.org
We will provide you with the skills and knowledge required to understand the data analytics and data mining lifecycle (CRISP-DM). You will explore the roles and responsibilities in business analytics and learn how develop a data-driven strategy. A broad overview of key concepts and principles including descriptive analytics and predictive analytics will be provided. You will develop the ability to present data in an appropriate format for a range of audiences.
This short course can be completed in 10 weeks. Students are expected to take eight weeks to complete online materials and then following an on-campus workshop, work on a real-world project for themselves or their company / organisation.
- Demonstrate an understanding of CRISP-DM and all stages of the Data Mining Life Cycle
- Analyse a range of data types
- Approach business problems using data analytics
- Apply business analytics tools to generate business insights
- Present data in an appropriate format for a range of stakeholders
The University regularly reviews its courses. Course content and structure may change over time. See our course and module disclaimer for more information.
As you progress through the course, you will be invited to an on-campus workshop where you can discuss your progress with your tutor and class-mates, before looking at how to put your data analytics skills and knowledge into action through a project of your own. At the end of the ten week course, you will submit an applied data analytics coursework.
Typically students are assessed through a portfolio assessment.
The majority of this course is completed through online independent study, it is expected that you will spend approximately 3-5 hours per week working on this module. Whilst you are studying independently you won’t be alone. Your tutor will be there to support you throughout the module.
STAFF DELIVERING ON THIS COURSE
This short course has been developed by a team with extensive academic and professional experience in Business and Data Analytics. The course team bring experience from Business Analytics, Information Management, Communications, Marketing and Computing Science. Having previously developed the MSc Business Analytics and with extensive professional and academic experience in related areas, the course team brings a wealth of knowledge to this exciting growth area.
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. Applicants are encouraged to arrange a pre-entry visit to discuss any concerns and to view the facilities.
ONLINE LEARNING & SUPPORT
All online learning students, benefit from using our collaborative virtual learning environment, CampusMoodle. You will be provided with 24/7 online access to your learning material and resources, along with the ability to interact with your class members and tutors for discussion and support.
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
- English language
- Information technology support
The Library offers support for your course, including the books, eBooks, and journals you will need. We also offer online reading lists for many modules, workshops and drop-ins on searching skills and referencing, and much more.
This short course is designed in response to a recognised shortfall of digital and data competencies and aims to meet this skills gap. The course will introduce you to a skillset, which if developed further, could help prepare you for a range of business and data analytics roles. Possible roles include Business Analytics Manager, Business Intelligence Officer, Digital Analytics Manager and Insight Analyst.
For new intakes course fees are reviewed and published annually for each mode of delivery. Tuition fees are fixed for the duration of a course at the rate confirmed in the offer letter. For further information see:
With the proliferation of data, businesses focus on using analytics to drive strategic business decisions. The amount of data harnessed by these businesses is insignificant compared to the amount of data available. This is as a result of a shortage of staff with essential data analytics skills.
Taking this course, you will have access to some of the world's best facilities.
We've invested more than £100 million in the development of our campus, new facilities and new resources.University Wide Facilities
The university has moved to home teaching and working following official COVID-19 guidance from the Scottish Government. Our staff will continue to process applications and respond to enquiries about your course during this time.
Register direct to the university using our online application form.
Have a question about the course? Get in touch with the team and we'll do our best to help.