This course aims to help students make sense of “big data.” It guides students to ask and answer the following questions: What are big data? With big data, what questions can policymakers and researchers ask and answer? How to collect and analyze big data? This course introduces students to basic data science techniques and demonstrate how they can be applied to various formats of social data. Upon completion, students are expected to master basic concepts of data science and acquire hands-on experience with social data analytics.
6 credits
Assessment: 100% coursework
(ii) Non-local applicants from Mainland China: Mainland ID Card/Passport
(iii) Non-local applicants from other countries/regions: Passport
Please refer to the FAQ for the categorisation of local and non-local applicants.
(ii) Degree currently in progress or has not yet been conferred: Latest available transcript
Transcript legends, keys or grading scales which are normally available on the back of the transcript or in the student handbook
(Example: Clause TPG 9 of Regulations for Taught Postgraduate Curricula of HKU)
Completed Degree at the time of application: a copy of the Graduate Certificates
- For applicants whose qualifications were awarded by universities or comparable institutions in Mainland China, the following documents are required:
- Online Verification Report of Higher Education Qualification Certificate (教育部學歷證書電子註冊備案表) issued by the China Higher Education Student Information (學信網); and
- Online Verification Report of Higher Education Degree Certificate (中國高等教育學位在線驗證報告) issued by China Higher Education Student Information
- For non-local applicants from Mainland China whose qualifications were awarded by overseas universities/institutions, the following document is required:
- Overseas Credentials Evaluation Report (國外學歷學位認證書) issued by the Chinese Service Center for Scholarly Exchange (CSCSE) (教育部留學服務中心).
- Given the processing time required by CSCSE, if the Report is not yet available by the document submission deadline, an email or a text message sent by CSCSE after payment, confirming that the application of the Report has been successfully initiated. Upon receipt of the Overseas Credentials Evaluation Report, applicants should upload the document to the application system.
- Applicants with qualifications from universities or comparable institutions outside Hong Kong, where the language of teaching and/or examination is not English, are required to obtain valid and satisfactory results from one of the following examinations:
- TOEFL (University’s TOEFL code is 9671) / IELTS / GCE / IGCSE / Cambridge Test of Proficiency in English Language
- For the acceptance range of performance for respective examinations, please refer to the requirements of university/respective programmes.
- Applicants with qualifications from universities or comparable institutions where the medium of teaching and examination is English should provide:
- An official letter or equivalent proof, such as transcript or degree certificate, confirming that the applicants’ qualifications were obtained from a university or comparable institution where the medium of instruction or the language of teaching and examination of the qualification is English
This course aims to help students make sense of “big data.” It guides students to ask and answer the following questions: What are big data? With big data, what questions can policymakers and researchers ask and answer? How to collect and analyze big data? This course introduces students to basic data science techniques and demonstrate how they can be applied to various formats of social data. Upon completion, students are expected to master basic concepts of data science and acquire hands-on experience with social data analytics.
6 credits
Assessment: 100% coursework
- Create your account via the HKU Taught Postgraduate Online Application System before the application deadlines
- Complete and submit your application via the system
- Settle a non-refundable application fee
- You will receive an acknowledgement email within 48 hours after successful application. Please follow the instructions in the email to submit your documents through another system (refer to Step 3)
- Upload the supporting documents by following the instructions in the acknowledgement email before the stipulated deadline
- Scanned copies and unofficial version of supporting documents are sufficient at the application stage
- Your application will only be processed once we have received all your supporting documents and full payment of the application fee
- Notify the Programme Office at mpoppa@hku.hk if you have uploaded updated documents
- The reviewer(s) will consider your application based on the information and documents submitted and it is your responsibility to provide accurate and sufficient information. Submission of information after application deadline may not be considered.
- Check your application status updates via the system from time to time
- Shortlisted applicants will be invited by email for an admission interview.
- You will receive an email of admission offer once your application is successful
- Follow the steps listed on your offer letter to accept your offer
- Your application will be evaluated based on the information and documents provided. Late submission will not be considered.
- Applicants are personally responsible for the authenticity of the application materials submitted to the University, whether by yourself or an agent/intermediary appointed by the applicants.
- If there are any discrepancy, misrepresentation, forgery, falsification, plagiarism or other irregularities in respect of the applications and/or the submitted documents which are deemed to be material, the University has the right at any time to take actions and impose penalties, including but not limited to withdrawal of the offer of admission, treating any acceptance of the offer as null and void, termination of enrolment and student status, deprivation of qualification and making a report to the relevant law enforcement agencies which may result in criminal prosecution.