Data Analytics For Business Decision-Making

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 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

There is a short online induction session 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 supported through online tutorials 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. 

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

There are no pre-requisites for this course.

 

FOR SESSION 2020/2021

• £350 per course

Additional Costs

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

• Accommodation and Living costs
• Printing

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