SDST4766 Statistics internship (6 credits) Academic Year 2025
Offering Department SCDS (Department of Statistics and Actuarial Science) Quota ---
Course Co-ordinator Dr E A L Li, SCDS (Department of Statistics and Actuarial Science) < ericli11@hku.hk >
Teachers Involved (Various teachers as the assessors of oral presentations and written reports,Statistics & Actuarial Science)
Course Objectives This course is offered to BStat students and students majoring in Decision Analytics/Risk Management/Statistics who take on a minimum of 160 hours of internship work related to his/her major disciplines. It provides students with first-hand experience in the applications of academic knowledge in a real-life work environment.
Course Contents & Topics Upon completion of the internship, each student is required to submit a written report and to give a presentation on his/her internship experience. The report should emphasize important working/educational experiences encountered by the student during his/her internship. In many situations, this would mean a report of the project(s) that the student has been involved in during his/her internship. The course will also include a conflict resolution role-play and email writing in the workplace.
Course Learning Outcomes
On successful completion of this course, students should be able to:

CLO 1 gain first-hand work experience in an industry related to decision analytics, risk management or statistics
CLO 2 apply knowledge in decision analytics, risk management or statistics to solve practical problems in the work place in a written report
CLO 3 explain how statistical theories learned in the University can be applied in practice in a written report
CLO 4 successfully resolve conflicts in the workplace through oral negotiation strategies
CLO 5 effectively communicate in the workplace through email
Pre-requisites
(and Co-requisites and
Impermissible combinations)		 Pass in at least 24 credits of advanced level disciplinary core/elective courses in the Decision Analytics/Risk Management/Statistics Majors.
This capstone course is only for students majoring in Decision Analytics/Risk Management/Statistics; and is mutually exclusive with SDST4710.
The earliest that a student is allowed to take this capstone course is their year 3 study.
Only for students admitted in 2025 and thereafter.
Course Status with Related Major/Minor /Professional Core 2U000C00 Course not offered under any Major/Minor/Professional core
2024 Major in Decision Analytics ( Disciplinary Elective )
2024 Major in Risk Management ( Disciplinary Elective )
2024 Major in Statistics ( Disciplinary Elective )
2023 Major in Decision Analytics ( Disciplinary Elective )
2023 Major in Risk Management ( Disciplinary Elective )
2023 Major in Statistics ( Disciplinary Elective )
2022 Major in Decision Analytics ( Disciplinary Elective )
2022 Major in Risk Management ( Disciplinary Elective )
2022 Major in Statistics ( Disciplinary Elective )
2021 Major in Decision Analytics ( Disciplinary Elective )
2021 Major in Risk Management ( Disciplinary Elective )
2021 Major in Statistics ( Disciplinary Elective )
Course to PLO Mapping 2024 Major in Decision Analytics < PLO 2,3,4,5,6 >
2024 Major in Risk Management < PLO 1,2,3,4,5,6 >
2024 Major in Statistics < PLO 1,2,3,4,5,6 >
2023 Major in Decision Analytics < PLO 2,3,4,5,6 >
2023 Major in Risk Management < PLO 1,2,3,4,5,6 >
2023 Major in Statistics < PLO 1,2,3,4,5,6 >
2022 Major in Decision Analytics < PLO 2,3,4,5,6 >
2022 Major in Risk Management < PLO 1,2,3,4,5,6 >
2022 Major in Statistics < PLO 1,2,3,4,5,6 >
2021 Major in Decision Analytics < PLO 2,3,4,5,6 >
2021 Major in Risk Management < PLO 1,2,3,4,5,6 >
2021 Major in Statistics < PLO 1,2,3,4,5,6 >
Offer in 2025 - 2026 Y        1st sem    2nd sem    Summer    Examination No Exam     
Offer in 2026 - 2027 Y
Course Grade Distinction/Pass/Fail
Grade Descriptors
Distinction Demonstrates excellent ability in applying knowledge to solve problems in the workplace. Demonstrates excellent performance in handling and carrying out the work required in the job or assigned by supervisor(s). Establishes highly effective collaboration and communication with supervisor(s), colleagues, and clients in the job. Successfully fulfills the requirements set out in the Course Description regarding working hours, with excellent performance in written and oral report, and excellent evaluation by supervisor(s), etc.
Pass Able to apply knowledge to solve problems in the workplace. Successfully handles and carries out the work required in the job or assigned by supervisor(s). Establishes effective collaboration and communication with supervisor(s), colleagues, and clients in the job. Successfully fulfills the requirements set out in the Course Description regarding working hours, written and oral report, and evaluation by supervisor(s), etc. Students demonstrating excellent performance in the above would be awarded a grade of "Distinction".
Fail Very limited or no ability to solve problems in the workplace. Fails to handle or carry out the work required in the job or assigned by supervisor(s). Fails to establish effective collaboration or communication with supervisor(s), other colleagues, or clients in the job. Fails to satisfy the requirements set out in the Course Description regarding working hours, written and oral report, or evaluation by supervisor(s), etc.
Communication-intensive Course Y
Course Type Internship
Course Teaching
& Learning Activities
Activities Details No. of Hours
Internship work it is expected that students are to work at least 160 hours (or equivalent to 4 weeks full-time) 160.0
Assessment Methods
and Weighting
Methods Details Weighting in final
course grade (%)		 Assessment Methods
to CLO Mapping
Oral presentation oral presentation and workshop on effective communications 70.0 1,2,3,4,5
Written report written report 30.0 1,2,3
Required/recommended reading
and online materials
Course Website http://moodle.hku.hk
Additional Course Information Upon completion of the internship, each student is required to submit a written report and to give an oral presentation on their internship experience.  Supervisors will assess the students based on their performance during the internship period (in the case of internships outside the university, the internal supervisor will assess the student based on the feedback by the external supervisor).

Satisfactory completion of this course can be counted towards the Capstone requirement.  Details of internship will be recorded on the student's transcript. This course will be assessed on "Pass/Fail" basis. Students who are interested to enrol in this course should contact the Department to obtain the approval.
Enrolment of this course is not conducted via the online course selection system and should be made through the relevant Department/School office after approval has been obtained from the course coordinator.