Learning & teaching
You will experience a range of teaching methods including lectures, tutorials, group-working, case studies and both individual and group presentations. Traditional teaching is supported by a virtual learning environment that is used to host a range of electronic supporting materials.
You will be assessed through a mixture of examinations and coursework. The taught element of the course is then complemented by a substantial piece of research leading to the completion of a dissertation. You should ensure that your choice of elective modules is consistent with your intended dissertation topic area.
In addition to a wealth of business analytics theory, you will also acquire skills in the following areas: giving presentations, team working, report writing, negotiation and IT skills.
Dr Leonidas Anastasakis
Leonidas’ research interests include business forecasting, time series analysis, predictive analytics in business processes, e-commerce and adoption of innovations. He holds a BSc in Automation from the Department of Automation at the Technological Institute of Piraeus. He gained his MSc (with Distinction) in Control Systems from the Department of Automatic Control and Systems Engineering and PhD in the area of Business Forecasting from the University of Sheffield.