Deeper Analytics and Big Data

Learning Outcomes

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Analyse and evaluate data, based on relevant techniques;
• Critically evaluate the appropriate application of different analytics.
• Apply a range of analytical techniques/approaches to support business.

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• The different uses of deep data analytics with big data;
• The impact of data analytics on business strategy and operations.
• Ethical and legal issues of data analytics;
• A range of deep analytic approaches to support business;

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• Interpret and analyse quantitative data related to business issues, using big data and appropriate analytical skills;
• Information technology and computing using analytical software.
• Think critically and argue effectively;

Basic principles underpinning big data analytics such as, but not limited to:

• Data use in business environments
• Deep analytics methods
• Strategies to implement data analytics in companies
• Ethical issues in using data analytics
• Business models using big data.

• Lectures
• Problem solving sessions
• Case studies
• IT Lab sessions

Formative

This is how we’ll give you feedback as you are learning. It is not a formal test or exam.

In-class formative opportunities

• Assessment Type: Formative
• Feedback: Individual feedback on exercises will be provided for students in class.
• Final Assessment: No
• Group Work: No

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.