Who Is This Programme For?

Data Science is successfully adding value to all the business models by using statistics and deep learning to make better decisions. A growing number of companies are now hiring data scientists to crunch data and predict possible situations and risk for businesses.
   

This online winter school is designed for college students studying IT, computing or any engineering degrees at a well-recognised university in China, with an interest in data science. Students will be introduced to the concept, develop an understanding of data science, hear from industry expert on data science applications and work in teams towards a technical project.


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What You Will Learn?

Students will:    

  • Learn the concept of Data Science;

  • Develop an understanding of exploratory data analysis, the world of AI and visualization;

  • Learn about data science products;

  • Understand the real-world applications in data science and hear from industry expert;

  • Learn from research expert in data economy and block chain;

  • Gain an understanding of data privacy and ethics;

  • Talk to leading data science expert to hear advances in data science;

  • Develop valuable professional skills in team building, leadership, communication and presentation;

  • Experience team-based learning through a technical data science project;

  • Practice and improve their English language.

Students will be allocated in project teams to work on a technical project and engage with Imperial supervisors throughout the programme. Example projects include developing a device to detect brain tumour.


In addition, students will have an opportunity to meet and discuss with Imperial ambassadors online, sharing their experiences on what it is like to study in a world class university and to discuss opportunities for future study.

Programme Structure & Format

40 learning hours spread over 15 days covering live lectures, workshops, tutorials, project work and self-study time.

Project work will be done through team-based learning with supervision. Final project will be presented in groups to a panel of experts on the last day of the programme. A prize will be awarded to the team presented with the best project.

The programme will be delivered over Microsoft Teams. Online project channels will be allocated to each team for project work andtutorials. Students will be able to use the channel at any time towork on their project.

Live classes of between 1.5 to 2 hours duration will be delivered on weekdays. Some days will have an additional one-hour live tutorial session with a project supervisor. All classes will be delivered between 08:30 to 10:30 UK time / 16:30 to 18:30 China time.

Theentire programme will be taught in English.

Certification

Students will receive a verified Imperial College London digital certificate on successful completion of the winter school and a prize will be awarded to the best project team. Each student will also receive a transcript for their project mark.


Entry Requirements

All students are expected to be studying an degree in any engineering discipline, IT or computing degree at a well-recognised university in China.


English requirements:

All students are required to have a good command of English, and if it is not their first language, they will need to satisfy the College requirement as follows:

    • a minimum score of IELTS (Academic Test) 6.5 overall (with no less than 6.0 in any element) or equivalent.

    • TOEFL (iBT) 92 overall (minimum 20 in all elements)

    • CET- 4 (China) minimum score of 550

    • CET- 6 (China) minimum score of 520


    Technicalknowledge requirements:

    As the project has a strong technical element, students are expected to have the following technical knowledge and interest:

      • Interested in computer visualisation / natural language processing;

      • Have at least intermediate level at one of the common programming languages (Python, Java, C ++, etc.);

      • Have mathematical foundation (probability theory, linear algebra, etc.);

      • Have an understanding of the Linux environment;

      • Knowledge of Machine Learning knowledge with experience in using PyTorch / Tensorflow / Keras.

      Students will need to have access to a computer pre-installed withpython, have a webcam, microphone and good internet connection to attend the live classes.

      Teaching Faculty

      The winter school is directed by Prof. Yike Guo and taught by amulti-disciplinary teaching faculty from the Data Science Institute and other departments.


      Yike Guo, is a Professor of Computing Science in the Department of Computing at Imperial College London. He is the founding Director ofthe Data Science Institute at Imperial College. He is a Fellow of the Royal Academy of Engineering (FREng), Member of Academia Europaea(MAE), Fellow of British Computer Society and a Trustee of The Royal Institution of Great Britain.


      Professor Guo received a first-class honours degree in Computing Science from Tsinghua University, China, in 1985 and received his PhD in Computational Logic from Imperial College in 1993 under the supervision of Professor John Darlington. He founded InforSense, a software company specialized in big data analysis for life science and medicine, and served as CEO for several years before the company's merger with IDBS, a global advanced R&D software provider, in 2009. He was then the Chief Innovation Officer of theIDBS until 2018. He also served as the Chief Technical Officer of the tranSMART foundation, a global alliance in building open source big data platform for translational medicine research.


      He has been working on technology and platforms for scientific data analysis since the mid-1990s, where his research focuses on data mining, machine learning and large-scaledata management. He has contributed to numerous major resear chprojects including: the UK EPSRC platform project, Discovery Net; the Wellcome Trust-funded Biological Atlas of Insulin Resistance (BAIR);and the European Commission U-BIAOPRED project. He was the Principal Investigator of the European Innovative Medicines Initiative (IMI)eTRIKS project, a €23M project building a cloud-based informatics platform, in which tranSMART is a core component for clinico-genomicmedical research, and co-Investigator of Digital City Exchange, a £5.9M research programme exploring ways to digitally link utilities and services within smart cities.


      Professor Guo has published over 250 articles, papers and reports.Projects he has contributed to have been internationally recognised, including winning the “Most

      Innovative Data Intensive Application Award” at the Supercomputing 2002 conference for Discovery Net, the Bio-IT World "Best Practices Award" for U-BIOPRED in 2014 and the "Best Open Source Software Award" from ACM SIGMM in 2017.


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      Provider
      Imperial College London
      Imperial College London
      Imperial College London is a world-class university with a mission to benefit society through excellence in science, engineering, medicine and business.
      Main lecturer
      Yike Guo,Imperial College,Co-Directer of the Data Science Institute,Professo
      Yike Guo
      Imperial College • Co-Directer of the Data Science Institute,Professo
      Yike Guo, is a Professor of Computing Science in the Department of Computing at Imperial College London. He is the founding Director of the Data Science Institute at Imperial College. He is a Fellow of the Royal Academy of Engineering (FREng), Member of Academia Europaea (MAE), Fellow of British Computer Society and a Trustee of The Royal Institution of Great Britain.
      Well-known Iecturer
      Yike Guo,Imperial College,Co-Directer of the Data Science Institute,Professo
      Yike Guo
      Imperial College • Co-Directer of the Data Science Institute,Professo
      Yike Guo, is a Professor of Computing Science in the Department of Computing at Imperial College London. He is the founding Director of the Data Science Institute at Imperial College. He is a Fellow of the Royal Academy of Engineering (FREng), Member of Academia Europaea (MAE), Fellow of British Computer Society and a Trustee of The Royal Institution of Great Britain.
      Betty Yue,Imperial College,Head of Centre for Continuing Professional Develop
      Betty Yue
      Imperial College • Head of Centre for Continuing Professional Develop
      Betty leading the team to organise events for Imperial and also she is the Chinese liaison officer for the group and promotes their work to staff and students.
      Ping Huang,Imperial College,Project Manager (China Collaboration)
      Ping Huang
      Imperial College • Project Manager (China Collaboration)
      Department of Computing, Quantitative Analysis and Decision Science
      Chengliang Dai,Imperial College,Department of Computing, Quantitative Analysis and
      Chengliang Dai
      Imperial College • Department of Computing, Quantitative Analysis and
      Chengliang works on a joint initiative between the Data Science Institute and the Institute for Translational Medicine and Therapeutics to develop a translational platform for analysis of brain imaging datasets held in the UK Biobank.
      Jingqing Zhang,Imperial College,Research Postgraduate
      Jingqing Zhang
      Imperial College • Research Postgraduate
      Jingqing's research interest includes Natural Language Processing, Text Mining, Data Mining and Deep Learning. He received his BEng degree in Computer Science and Technology from Tsinghua University
      Helal Ahmed,Imperial College,Teaching Fellow
      Helal Ahmed
      Imperial College • Teaching Fellow
      Helal joined the Graduate School in August 2012 to teach professional skills to postgraduate students. He creates teaching materials, delivers workshops and takes part in online teaching by liaising with staff to ensure the integration of skills development activities within the core curriculum.
      Peter Childs,Imperial College,Chair and Leader in Engineering Design
      Peter Childs
      Imperial College • Chair and Leader in Engineering Design
      Peter Childs FREng is the Professorial Lead in Engineering Design and was the founding Head of the Dyson School of Design Engineering at Imperial College London.
      Yves-Alexandre de Mo,Imperial College,Assistant Professor in the Dept.of Computing and a
      Yves-Alexandre de Mo
      Imperial College • Assistant Professor in the Dept.of Computing and a
      Dr Yves-Alexandre de Montjoye is Assistant Professor in the Department of Computing and Research fellow at the Data Science Institute where he heads the Computational Privacy Group.
      Rossella Arcucci,Imperial College,Research Fellow at Data Science Institute
      Rossella Arcucci
      Imperial College • Research Fellow at Data Science Institute
      Dr Rossella Arcucci created the Data Assimilation and Machine Learning (DataLearning) Working Group. She leads and coordinates the activities of the group where she supervises students and early career researchers.
      Kai Sun,Imperial College,Acting DSI Institute Manager
      Kai Sun
      Imperial College • Acting DSI Institute Manager
      Dr Kai Sun the manager of the HNA Centre of Future Data Ecosystem, a research lab aiming at promoting theory and technology innovation in the field of data economy, especially Blockchain and Smart Contract technologies.
      Jake Ganymede,Imperial College,International Officer
      Jake Ganymede
      Imperial College • International Officer
      With over eight years of Student Recruitment and Admissions experience in UK higher education (HE) developed in both the private and public sectors