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Course Duration : 2 years (24 months) part-time. For details on module overviews, learning outcomes, teaching and learning methods and assessment please visit Course Finder. The programme is intensive with a focus on hands-on learning experience. It is made up of eight taught modules. Modules cover the foundations of business analytics (Principles of Business Analytics, and Predictive Analytics), real-world analytics projects with an organisation (Analytics Live), analytics applications and socio-technical implications (Marketing Analytics, Contemporary Issues in IT, and People, Organisations & Society), in addition to Core Experiences modules (Career Planning and Development, and Evidence Based Management). The programme also offers a preparatory Autumn School to prepare students from different backgrounds to achieve the basic levels of business, maths & statistics, and programming that you will need to undertake an MSc in Business Analytics. Our approach to learning involves active engagement in problem solving, individually and collectively. Each module is taught in four one-day blocks. For each module there is a space of three to four weeks between the next teaching block. This enables learners to undertake their individual and group work and study in preparation for the next class. A full-time student would take four modules per semester and thus be in class two full-days every second week, with substantial group and individual work in between, and supported by access to lecturer insights via office hours and online supports as necessary. Part-time students take two modules a semester over two years to complete the programme. Duration: 2 year part-time
Disclaimer
The modules below are indicative of the content associated with this course of study. The modules are subject to change as the curriculum is revised and reviewed annually. Please check periodically for updates.
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Year 1
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This programme is for students who would like to solve business problems through quantitative data analytics. Organisations today realise that data analytics is a critical competitive capability to survive in the new era of Big Data and Artificial Intelligence. Businesses now have abundance of data at their disposal generated from traditional functions such as sales and operations, but also, more recently, from social media and the Internet of Things. That has made the volumes and variety of data of value to businesses very large, effectively dubbed as the Big Data era. Mining data and finding insights of value to businesses is a crucial process to move from raw and seemingly messy data, to organized insights supporting evidence-based management. For example, classifying free-text tweets of consumers opinions of a certain company’s product into positive, neutral, and negative sentiments can help the company identify potential issues and deal with them in a proactive manner. This MSc in Business Analytics is for graduates with degrees that include quantitative techniques such business, management, mathematics, physics, and others, who would be interested in applying quantitative analytics in business, including in commercial, governmental and non-governmental organizations. The Big Data analytics market is set to grow with a rise in demand for data analytics jobs. This programme enables students to bridge their business analytics skills gaps and get ready to contribute to this exciting and growing data-based economy. Additional Resources Please check out the Postgraduate Open Day Page for details on our upcoming open days and postgraduate information and resources shared at previous open days which includes information on fees, funding, scholarships and student life. Autumn School The programme offers a preparatory Autumn School to prepare students from different backgrounds to arrive at basic levels of business, maths & statistics, and programming for business analytics. The date for this is normally sometime in the last 2 weeks of August. Course Commences September entry
MNAP6
- BUSINESS ANALYTICS
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Credits: 30
Not compulsory:
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Year 2
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This programme is for students who would like to solve business problems through quantitative data analytics. Organisations today realise that data analytics is a critical competitive capability to survive in the new era of Big Data and Artificial Intelligence. Businesses now have abundance of data at their disposal generated from traditional functions such as sales and operations, but also, more recently, from social media and the Internet of Things. That has made the volumes and variety of data of value to businesses very large, effectively dubbed as the Big Data era. Mining data and finding insights of value to businesses is a crucial process to move from raw and seemingly messy data, to organized insights supporting evidence-based management. For example, classifying free-text tweets of consumers opinions of a certain company’s product into positive, neutral, and negative sentiments can help the company identify potential issues and deal with them in a proactive manner. This MSc in Business Analytics is for graduates with degrees that include quantitative techniques such business, management, mathematics, physics, and others, who would be interested in applying quantitative analytics in business, including in commercial, governmental and non-governmental organizations. The Big Data analytics market is set to grow with a rise in demand for data analytics jobs. This programme enables students to bridge their business analytics skills gaps and get ready to contribute to this exciting and growing data-based economy. Additional Resources Please check out the Postgraduate Open Day Page for details on our upcoming open days and postgraduate information and resources shared at previous open days which includes information on fees, funding, scholarships and student life. Autumn School The programme offers a preparatory Autumn School to prepare students from different backgrounds to arrive at basic levels of business, maths & statistics, and programming for business analytics. The date for this is normally sometime in the last 2 weeks of August. Course Commences September entry
Note: all students register for MI6274 (Business Consulting Project (BCP)) at online registration at the start of Year 2. Changes to this must be discussed with your Programme Director.
MNAP62
- BUSINESS ANALYTICS
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Credits: 60
Not compulsory:
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