School of Creative & Cultural Business

Data Analytics For Business Decision-Making

Short Course - 15 credits at SCQF level 9

Gain greater insight from your data with this short course in Data Analytics for Business Decision-Making. In the ‘age of analytics’ where data is often said to be the new oil, having the tools and techniques to manage and analyse data effectively is essential.

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 upskilling@rgu.ac.uk

The course has one study option
Mode of Attendance
Mode of Study
Start Date
Course Length
Mode of Attendance
  • Blended
Mode of Study
  • Part Time
Start Date
To be confirmed 2020
Course Length
10 weeks
This short course aims to provide an understanding of the principles of data and business analytics. Using real-life scenarios, you will learn to apply analytics processes, algorithms and methodologies to business problems using data to make informed business decisions.

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.

On completion of this course, students are expected to be able to:
  1. Demonstrate an understanding of CRISP-DM and all stages of the Data Mining Life Cycle
  2. Analyse a range of data types
  3. Approach business problems using data analytics
  4. Apply business analytics tools to generate business insights
  5. Present data in an appropriate format for a range of stakeholders
 
Disclaimer

The University regularly reviews its courses. Course content and structure may change over time. See our course and module disclaimer for more information.

There is a short on-campus induction session (which is optional) where you can get to know your classmates and learn more about the aims and structure of the course. You will then embark on approximately 8 weeks of  study delivered online. Teaching is broken down into short manageable lessons (approximately 40 minutes) and activities (approximately 2hrs per week) that you can study in your own time and at your own pace. While studying online you will have access to your tutor, who will be able to answer any questions you may have.

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. 
 
To complete this course you will need access to a modern laptop or computer running an up-to-date operating system and a reliable internet connection.
ASSESSMENT

Typically students are assessed through a portfolio assessment.

INDEPENDENT STUDY

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.

 

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. Applicants are encouraged to arrange a pre-entry visit to discuss any concerns and to view the facilities.

The Inclusion CENTRE

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.

CampusMoodle

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

STUDY SKILLS SUPPORT

Library 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.

University Library

 

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.

 

 
There are no pre-requisites for this course.

 

 
FOR SESSION 2020/2021
Additional Costs

The following course-related costs are not included in the course fees:

Other Fees and Charges

Disclaimer

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:

STUDENT FINANCE

 

Have a question about the course? Get in touch with the team and we'll do our best to help.

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.
Dr Ebuka Ibeke, Module Coordinator

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

Apply


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.

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