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Postgraduate short courses (2018/2019 academic year)

Birkbeck, University of London offers a range of postgraduate short courses, taught part-time on our central London campus. Many of these courses are taken directly from existing master's programmes and give students the opportunity to study at a postgraduate level without committing to a full programme of study. 

Football Analytics (6pm-9pm, every Tuesday from 30 April 2019 to 9 July 2019) 

  • Coordinator and lecturerGiambattista Rossi
  • Assessment: a 20-25-minute group presentation (40%) and a two-hour examination (60%)
  • Description: The performance data industry in football has grown dramatically in recent years, to the point where all professional teams have access to some level of data and employ performance analysts to help coaches, scouts, players and executives work with the new technologies available, particularly video. However, as detailed data and analytics become integrated within club processes, it is essential that staff are equipped with the skills to not only interpret and apply this information correctly, but also to present and argue insights to decision makers. Teams also amass large databases of their own subjective information on players, but do not manage that data appropriately and clubs still have limited knowledge of how to use data to strategically plan for the future and in budgeting. It is the analysts who have the chance to improve this dramatically. At the other end of the market, some teams have become extremely advanced and actually employ data scientists to build advanced models. Whilst this progress is excellent, a new problem exists where many within the team do not know how to interpret the advanced outputs they are being shown. This short course aims to develop managers who can make decisions, based on provided models, regarding both player and team valuations.
  • Indicative syllabus
    • Statistical landscape in sport: how data is used in elite sport
    • Statistical models and their application in football
    • Collecting, databasing and analysing subjective data: integration of different datasets
    • Using data in an applied setting
    • Analytical software 
    • Data visualisation: best practice
    • Presenting advanced analysis: managing conversations; negotiating with decision-makers
    • Long-term, strategic planning using data: beyond ‘day-to-day’ work
    • Cases studies and revision 
  • Class dates/times
    • Tuesday 30 April 2019, 6pm-9pm
    • Tuesday 7 May 2019, 6pm-9pm
    • Tuesday 14 May 2019, 6pm-9pm
    • Tuesday 21 May 2019, 6pm-9pm
    • Tuesday 28 May 2019, 6pm-9pm
    • Tuesday 4 June 2019, 6pm-9pm
    • Tuesday 11 June 2019, 6pm-9pm
    • Tuesday 18 June 2019, 6pm-9pm
    • Tuesday 25 June 2019, 6pm-9pm 
    • Tuesday 2 July - no class (revision week) 
    • week commencing 8 July 2019 - exam (exact date TBC). 
  • Fees: 
    • Home students: £900 
    • International students: £1400 
  • Apply now