MSc in Information Systems Management
HKUST Business School, The Hong Kong University of Science and Technology
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2027 Admissions Interview Question Bank* (HKUST BUSINESS MSCISM — Live Human)
Can you speak Cantonese?
Can you walk me through the key projects from your past internships?
Can you walk me through the business technology work on your CV?
Can you start by telling me a bit about yourself?
Variants
- What questions do you have for us about the program?
- What would you like to ask us about the program?
- What questions do you have for me about the program?
Analysis
- Why asked: Tests genuine interest in the program and the thoughtfulness of your research — asking no questions or asking easily Googled questions signals low engagement.
- Expectations: Strong candidates have 2-3 genuine, specific questions prepared that demonstrate deep research and real curiosity about the program, faculty, or community.
- Strong answer: Ask about something you genuinely want to know — current student experience, how the program is evolving, a specific faculty initiative — with enough specificity to show you've done your homework.
- Common mistakes: Asking questions whose answers are on the website, asking about logistics or money (unless genuinely unclear), or asking nothing at all which signals low interest.
Did you get a return offer from any of those internships?
What stands out the most about your background?
What would you say is the one thing that really sets you apart from everyone else?
Looking at a specific course you took in the past, what grade did you earn, and what would you do differently if you could take it over?
Could you walk me through one of your internships and explain what your day-to-day responsibilities looked like?
Follow-ups
- How did you handle the main deliverable for that internship project?
What would you say is your unique strength?
Can you highlight one internship experience that was the most valuable to you?
Follow-ups
- What were some of the difficulties you faced during that internship, and how did you handle them?
What is one unique trait about your personality that sets you apart?
Can you tell me more about the specific projects and responsibilities from your previous internships?
How would you describe your personality?
Analysis
- Why asked: An open-ended identity question that invites authenticity — the interviewer is looking for self-awareness and a person who can speak genuinely about who they are.
- Expectations: Strong candidates give a specific, grounded description that reveals real character — not a polished PR version, but an honest portrait.
- Strong answer: Choose 3-4 traits that feel true to who you are, give a brief personal story that illustrates the most distinctive or surprising one, and let the description feel like a real person.
- Common mistakes: Describing your professional reputation rather than your personality, listing desirable traits without grounding, or giving a one-dimensional answer focused entirely on competence without warmth.
Walk me through your recent internship experience.
What made you decide to apply to this specific master's program?
Analysis
- Why asked: This open-ended question invites candidates to narrate their discovery and decision process—interviewers want to understand what specific factors drove the HKUST choice, not just the outcome.
- Expectations: Strong candidates describe a coherent decision narrative: how they learned about HKUST, what research confirmed it was the right choice, and which specific features (Greater China network, Kellogg exchange, Bay Area alumni concentration, finance curriculum) were decisive.
- Strong answer: An outstanding answer shows that the HKUST decision was reached through genuine research—conversations with alumni, campus visits, faculty engagement—and that the choice reflects a well-reasoned match between HKUST's specific strengths and the candidate's goals.
- Common mistakes: Describing the decision process vaguely without specific research touchpoints; or treating HKUST as one of several equivalent Asian MBA programs rather than explaining what specifically made it the right fit.
Are there any specific courses here that caught your eye?
What made you decide to move from an accounting background into information systems management?
Given that your undergraduate major is quite broad, what made you decide to pursue this program?
What made you want to switch from your background in finance and accounting to this program?
Since your past internships are all in finance and accounting, and I see you also applied to a finance program here, why did you decide to apply to this specific program instead?
What made you decide to switch from finance to information systems?
How familiar are you with the courses offered in our program, and which ones catch your eye?
Follow-ups
- Why do you think your research ended up with those particular results?
Given your background in accounting and finance, what made you decide to apply for this information systems management program instead?
Since you applied to multiple programs at this university, how would you decide between them if you received offers from all of them?
Follow-ups
- How do those analytics projects connect to the technical tools you plan to learn here?
Your undergraduate background is in finance and economics, which doesn't seem closely related to this program, yet your internship experience involves data. How do you reconcile that?
What brings you to apply here when you are currently living in Australia?
What do you think is the difference between business analytics and information systems management?
Can you dive into some specific Python questions related to your technical background?
Follow-ups
- Can you dive into some specific Python questions related to your technical background?
How would you check the difference between linear regression and logistic regression in machine learning?
Can you give an example of a specific project where you used coding alongside AI tools to get something done?
Walk me through how you put together that industry report on your resume, especially how you gathered the macro data and made sure it was relevant.
Which specific course from your studies caught your interest the most?
Follow-ups
- Can you highlight a key concept you learned in that course?
Can you highlight a key concept you learned in that course?
Follow-ups
- How would you explain the technical details behind that concept in greater depth?
Why did you choose to take that specific elective or class?
Can you explain step-by-step how you applied one of those libraries?
Which software libraries did you rely on for your project?
Walk me through the main responsibilities and tasks from your internship.
Follow-ups
- What was the main purpose of using that particular algorithm?
What was the main purpose of using that particular algorithm?
How would you explain the technical details behind that concept in greater depth?
Follow-ups
- Can you explain step-by-step how you applied one of those libraries?
What specific algorithms did you use during that work?
Can you share an experience from your internship that helped you better understand technology?
Follow-ups
- What specific mismatches did you run into with artificial intelligence during that project?
What specific mismatches did you run into with artificial intelligence during that project?
Why do you think your research ended up with those particular results?
Can you walk me through the goals and main activities of your research project?
What was the most challenging course you took during your undergraduate studies?
Can you share any past experiences you have that relate to business analytics?
How do those analytics projects connect to the technical tools you plan to learn here?
Why did you choose that specific topic for your graduation thesis, and what is it about?
Follow-ups
- What kind of data did you use to measure your results, and what were the key variables?
- Which econometric methods did you use in your analysis?
What kind of data did you use to measure your results, and what were the key variables?
Which econometric methods did you use in your analysis?
Are dual-degree students common at your university, and will you be able to graduate on time?
What did the final business intelligence dashboard look like?
Could you walk me through the specific tasks you handled during your internship?
What kind of data were you working with in project during your internship?
Did the company already have a data warehouse in place, or did you have to write new code instead of reusing old ones?
Can you walk me through a specific example of data analysis from your past work experience?
Follow-ups
- Can you tell me more about the specific projects and responsibilities from your previous internships?
Can you walk me through the risk-profiling survey project listed on your resume?
What standards do you follow when checking document compliance in your work?
How do you incorporate AI tools into your daily workflow?
What technical skills do you currently possess that are relevant to this field?
Follow-ups
- How would you define that skill, and how do you approach modifying your work based on feedback?
Do you have any practical experience working with big data?
Can you explain what the XGBoost algorithm is?
What data analysis software or tools have you used?
Follow-ups
- Have you ever used SQL in your past work or projects?
What kind of outputs did your model generate and what were they trying to predict?
Can you describe what the data you scraped in your project looked like and what variables it included?
Have you ever used SQL in your past work or projects?
What experience do you have programming in Python and R?
How did you handle the main deliverable for that internship project?
What were some of the difficulties you faced during that internship, and how did you handle them?
What was the biggest challenge you faced during your past internships?
How would you define that skill, and how do you approach modifying your work based on feedback?
Did you work on that project entirely by yourself or as part of a team?
Where do you plan to work after you finish your undergraduate or graduate studies?
What are your plans for your career after you graduate?
What do you know about the job market for graduates from this program?
What are your career plans for both the short term and the long term?
Follow-ups
- What specific algorithms did you use during that work?
What are your specific career goals after graduation?
Follow-ups
- What specifically draws you to pursue that particular career path?
What specifically draws you to pursue that particular career path?
What are your professional goals moving forward?
Follow-ups
- What did the final business intelligence dashboard look like?
- Did you work on that project entirely by yourself or as part of a team?
- What kind of data were you working with in project during your internship?
- Did the company already have a data warehouse in place, or did you have to write new code instead of reusing old ones?
What are your career plans for the future?
Many people argue that artificial intelligence is just a huge bubble that will eventually burst, so how do you view this trend?
Follow-ups
- Can you give an example of a specific project where you used coding alongside AI tools to get something done?
Can you share something new that you have learned recently?
Can you walk me through the key projects from your past internships?
What made you decide to move from an accounting background into information systems management?
Can you walk me through the business technology work on your CV?
Can you give an example of a specific project where you used coding alongside AI tools to get something done?
Walk me through how you put together that industry report on your resume, especially how you gathered the macro data and made sure it was relevant.
Did you get a return offer from any of those internships?
Since your past internships are all in finance and accounting, and I see you also applied to a finance program here, why did you decide to apply to this specific program instead?
What stands out the most about your background?
Can you explain step-by-step how you applied one of those libraries?
Which software libraries did you rely on for your project?
Walk me through the main responsibilities and tasks from your internship.
Follow-ups
- What was the main purpose of using that particular algorithm?
What was the main purpose of using that particular algorithm?
What specific algorithms did you use during that work?
Can you share an experience from your internship that helped you better understand technology?
Follow-ups
- What specific mismatches did you run into with artificial intelligence during that project?
What specific mismatches did you run into with artificial intelligence during that project?
Why do you think your research ended up with those particular results?
Can you walk me through the goals and main activities of your research project?
Looking at a specific course you took in the past, what grade did you earn, and what would you do differently if you could take it over?
How did you handle the main deliverable for that internship project?
Could you walk me through one of your internships and explain what your day-to-day responsibilities looked like?
Follow-ups
- How did you handle the main deliverable for that internship project?
Can you highlight one internship experience that was the most valuable to you?
Follow-ups
- What were some of the difficulties you faced during that internship, and how did you handle them?
What were some of the difficulties you faced during that internship, and how did you handle them?
Why did you choose that specific topic for your graduation thesis, and what is it about?
Follow-ups
- What kind of data did you use to measure your results, and what were the key variables?
- Which econometric methods did you use in your analysis?
What kind of data did you use to measure your results, and what were the key variables?
Which econometric methods did you use in your analysis?
Your undergraduate background is in finance and economics, which doesn't seem closely related to this program, yet your internship experience involves data. How do you reconcile that?
Are dual-degree students common at your university, and will you be able to graduate on time?
What did the final business intelligence dashboard look like?
Did you work on that project entirely by yourself or as part of a team?
Could you walk me through the specific tasks you handled during your internship?
What kind of data were you working with in project during your internship?
Did the company already have a data warehouse in place, or did you have to write new code instead of reusing old ones?
What was the biggest challenge you faced during your past internships?
Can you walk me through a specific example of data analysis from your past work experience?
Follow-ups
- Can you tell me more about the specific projects and responsibilities from your previous internships?
Can you tell me more about the specific projects and responsibilities from your previous internships?
Can you walk me through the risk-profiling survey project listed on your resume?
What standards do you follow when checking document compliance in your work?
Walk me through your recent internship experience.
Can you explain what the XGBoost algorithm is?
What kind of outputs did your model generate and what were they trying to predict?
Can you describe what the data you scraped in your project looked like and what variables it included?
Can you dive into some specific Python questions related to your technical background?
Follow-ups
- Can you dive into some specific Python questions related to your technical background?
Can you give an example of a specific project where you used coding alongside AI tools to get something done?
Can you highlight a key concept you learned in that course?
Follow-ups
- How would you explain the technical details behind that concept in greater depth?
Can you explain step-by-step how you applied one of those libraries?
What was the main purpose of using that particular algorithm?
How would you explain the technical details behind that concept in greater depth?
Follow-ups
- Can you explain step-by-step how you applied one of those libraries?
What specific algorithms did you use during that work?
What specific mismatches did you run into with artificial intelligence during that project?
Why do you think your research ended up with those particular results?
How did you handle the main deliverable for that internship project?
How do those analytics projects connect to the technical tools you plan to learn here?
What specifically draws you to pursue that particular career path?
What were some of the difficulties you faced during that internship, and how did you handle them?
What kind of data did you use to measure your results, and what were the key variables?
Which econometric methods did you use in your analysis?
What did the final business intelligence dashboard look like?
Did you work on that project entirely by yourself or as part of a team?
What kind of data were you working with in project during your internship?
Did the company already have a data warehouse in place, or did you have to write new code instead of reusing old ones?
Can you tell me more about the specific projects and responsibilities from your previous internships?
How would you define that skill, and how do you approach modifying your work based on feedback?
Have you ever used SQL in your past work or projects?
Do you have any questions for me?
Variants
- What questions do you have for us?
- What questions do you have for me?
Analysis
- Why asked: This closing question is not just a courtesy — it is a final opportunity to demonstrate genuine intellectual curiosity, program research, and engagement with the interviewer as a person who can offer unique insight.
- Expectations: Strong candidates ask substantive, specific questions that could not be answered by reading the program website — targeting the interviewer's personal experience, program culture, or specific aspects of the community or curriculum the candidate has already researched.
- Strong answer: An outstanding candidate prepares two or three distinct questions, tailors at least one to the specific interviewer (their role, background, or experience with the program), and uses the questions to demonstrate that they have genuinely engaged with the program and have a specific, considered perspective on what they want to learn.
- Common mistakes: Candidates often either say they have no questions (a significant missed opportunity) or ask generic questions easily found online, or they ask questions about deadlines and admissions logistics rather than using this final moment to show genuine intellectual engagement with the program and the person across from them.
What questions do you have for us today?
*Disclaimer: This question bank is compiled and generated by MockMore (mockmore.com) based on applicant feedback, historical data, and our proprietary AI model. MockMore is an independent platform and is not affiliated with any university or video interview platform (such as Kira Talent, VidCruiter, InitialView, Vericant, etc.).
Interview Experience Records
* The records were obtained from publicly available data or contributed by users of MockMore (mockmore.com), then reviewed and refined by our AI models.
* The records were obtained from publicly available data or contributed by users of MockMore (mockmore.com), then reviewed and refined by our AI models.