Course overview

This course aims to teach you how to perform data collection, transformation, and organisation in order to draw conclusions, make predictions and drive informed and smart business decision making.

During this course you will have the chance to:

• Develop quantitative and data mining skills to solve business problems as well as data visualisation skills using appropriate software and programming language.
• Learn to generate value from Big Data, which cannot be analysed using traditional techniques.
• Apply theory to practical situations through case studies and projects from industry.

Accreditation and professional recognition

This course is accredited1 and recognised by the following bodies:

Chartered Management Institute (CMI)

The course currently includes the Chartered Management Institute (CMI) accredited module, Leading Strategic Change through Creativity and Innovation. Upon successful completion of the module, you will gain the CMI Level 7 Certificate in Strategic Management and Leadership Practice at no additional cost.

Coventry University’s accreditation with CMI is currently ongoing for the relevant modules and is regularly reviewed and monitored by the CMI through their quality systems.

Institute of Analytics (IoA)

The course is currently accredited by the Institute of Analytics (IoA), a professional body of analytics and data science professionals working in the UK and international. The accreditation is ongoing for the entire course and is regularly reviewed and monitored by IoA through their quality systems.

Memberships

European Foundation for Management Development (EFMD)

Coventry Business School is currently an active member of the European Foundation for Management Development, a global membership organisation dedicated to management development, covering over 900 members across 91 countries.

Chartered Association of Business Schools (CABS)

Coventry Business School is currently an active member of the Chartered Association of Business Schools, which has a membership of over 120 business schools and higher education providers, and supports its members in maintaining world-class standards of teaching and research.

Assessment

This course will be assessed using a variety of methods which will vary depending upon the module.

Assessment methods include:

• Formal examinations
• Phase tests
• Essays
• Group work
• Presentations
• Reports
• Projects
• Coursework
• Exams
• Individual Assignments

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

Careers and opportunities

Successful completion of this course should enable you to enter the field of business analytics and consultancy in small, medium, or large organisations across the globe.

On successful completion of this course, you will have knowledge of:

• The context within which big data and business analytics resides, including value, variety, veracity, volume, complexity, ethical and technological issues of big data.
• Data mining techniques such as market basket analysis, social media analysis and web analytics.
• The uses and limitations of a range of data mining techniques and methodologies.
• Global supply and logistics management.
• Operations analytics including forecasting and inventory control.

You will be able to:

• Apply business analytical techniques and methodologies in an organisational context.
• Select and apply appropriate models and techniques to best analyse structured and unstructured data.
• Use relevant communication and information technologies for application in business analytics and to communicate results for effective decision-making.
• Apply appropriate analytics to analyse market data, to address marketing questions such as a market forecasting.
• Assess financial performance and economic conditions of an organisation and key concepts of management accounting.

On successful completion of the course you could enter professions such as management consultants, business analysts, policy analysts, market researchers, operations researchers and data scientists. Alternatively, you could work in the public, private or voluntary sectors where such analytical skills would give organisations competitive advantage.

We aim to develop your capabilities in creative problem solving, strategic thinking, effective communication and research, all directly relevant to employers and of great value when seeking future employment.