Data Science for Business Intelligence

• Exploit the true potential of data to drive growth with your new-found quantitative and qualitative skills, built around four pillars: Data visualisation, predictive modelling, classification, and clustering
• Stay on top of the latest methods and approaches, current and emerging industry trends, and data science practices. Use cutting-edge software to deep-dive in to case studies and apply approaches to your own data challenge 
• Explore how data can forecast outcomes and predict future success to create a winning strategy
• Know how to target the right customers with the right products and communications.
  
   

Work on your own data science challenge from beginning to end, using world-class theory and searing insights to solve your strategic problem. Your learning is split over three phases:

PHASE 1
Connect and engage | Pre-programme 
Take the opportunity to refresh your knowledge and upskill with a range of online assets. Identify and refine your data challenge using faculty expertise during 1-2-1 conversations. Prepare for an intensive, dynamic and transformational week on campus, connect with your peers and begin your collaborative learning experience.

PHASE 2
Learn, apply and challenge | 5 days on campus
Immerse yourself in a collaborative and energetic learning experience in the heart of London. Use a methods-based approach to delve into real-life case studies and hear industry experts discuss the opportunities and challenges data science can bring to your organisation. Learn in a structured environment with high-calibre teaching from world-class faculty to further develop your knowledge. Discover how to use data science tools and methods and apply them to your organisational context and beyond.

PHASE 3
Apply and transform | Online clinics post-programme

Wrap up with online learning clinics when you are back at work where you have the chance to co-create a learning experience with your cohort. Each clinic will focus on a different method where you can pre-submit questions for discussion. These clinics will give you the chance to explore both successes and hurdles of using your new-found methods on your challenge back in the workplace using insights from your peers.

• Build your knowledge and refine your goals with online pre-learning, followed by a hands-on, face-to-face experience on campus and tailed with online post-programme clinics
• Learning on the programme happens in short, rhythmic bursts for a stimulating and energising experience
• Apply insights on-the-go to solve your own problem: Your own data science challenge from your organisation forms the bedrock of your journey
• Immerse yourself in real-life case studies and experiential learning from on-the-ground data experts
• Build a solid network of like-minded professionals with rich and diverse experience in a swathe of different industries as you learn, share insights and progress together.
  
   

• What is the application process?

  You can apply to the programme of your choice online. Acceptance is not automatic and your application will be reviewed by our team of Programme Consultants to ensure the best fit between applicants and programmes. Spaces on our programmes can fill up quickly so we encourage you to apply early and ensure your application is as comprehensive as possible.

• Will I have to do any preparation before attending the programme?

  You'll receive communication from your Programme Manager around six weeks before starting the programme. The information we send will direct you to our online learning platform which will include the programme timetable, pre-programme reading and preparation work, and an introduction to your fellow participants.

• Do I need to obtain a visa if I’m coming from overseas?

  Visa requirements vary depending on your nationality and country of residence. We encourage you to use the ‘check if you need a visa’ tool or to consult the UK consulate or embassy in your home country.