Overview
Graduates of the Data and Systems Engineering degree from City University of Hong Kong will be equipped with necessary tools and skills to solve emerging real-world application problems and become big data professionals in the following fields:
- FinTech & Decision Analytics
- Industrial Al
- Smart City
Career
The unique power of data science knowledge and technology is gaining unprecedented attention in the job market, as big data analytics, data mining, machine learning and artificial intelligence become more and more relevant to mainstream industries.
It is no wonder that data science has been heralded by the Harvard Business Review as one of the hottest fields in the 21st century. Data scientists solve some of the hardest problems that businesses face, and their work is relevant to almost all realms of business.
CityUHK’s BSc Data and Systems Engineering is a unique programme to offer students a solid foundation in data science analytics, fostering their ability to apply emerging data science knowledge and technologies to produce advanced solutions to real emerging system-level business and industrial problems. Graduates with such solid theoretical knowledge and rich practical experience capable of working alongside domain experts are in great demand in virtually all fields, including but not limited to the following.
- Finance and Banking
- Innovative Industry
- E-commerce
- IT and Software Companies
- Smart City
- Logistics and Transportation Systems
- Retail and Digital Marketing
- Power and Energy
- Healthcare and Medical Research
- Government and Public Organisations
- Consultancy
- Education and Research
- Small Business, Start-ups, Multi-industry Opportunities
Programme Structure
Courses include:
- General Physics
- Data Science
- Smart City - a Systems Engineering Perspective
- Multi-variable Calculus
- Probability and Statistics
- Python for Data Science
- Convex Optimization
- Data Visualization
- Statistical Methods and Data Analysis
- Data Mining
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , International
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Hong Kong, Hong Kong (SAR)
Disciplines
Industrial & Systems Engineering Data Science & Big Data View 10 other Bachelors in Data Science & Big Data in Hong Kong (SAR)What students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- An IB Diploma for admission to first-year studies. For Advanced Standing I admission, a minimum diploma point score of 30 (out of 45) is required.
- Grade 4 or above in English A: Language and Literature (HL/SL) / English A: Literature (HL/SL) / English Literature and Performance (SL) / English B (HL), or
- Grade 5 or above in English B (SL), or
- a TOEFL score of 79 (Internet-based test), or an IELTS overall band score of 6.5.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at City University of Hong Kong and/or in Hong Kong (SAR), please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents190000 HKD / year≈ 190000 HKD / year -
Domestic Applies to you
Applies to youCitizens or residents47000 HKD / year≈ 47000 HKD / year
Living costs
Hong Kong
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data and Systems Engineering.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility