BSc Data and Systems Engineering (Features: Data Science / FinTech / Industrial AI / Smart City / Internet of Things)
1074 (JS1074)
Local Places:
17 (For First Year and Advanced Standing I Entries; Tentative)*
Non-Local Places
(For Overall Direct Applications):
Around 400
BEng (Fudan U), MSc & PhD (MIT)
BSc (UCLA), MSc (U of Oxford), PhD (Imperial College London)
+852 3442 7887
* for JUPAS and non-JUPAS admissions
Data Science PLUS
The programme offers solid foundation in data science and intelligent systems, where students will learn to analyse, manage and improve enterprise- class systems using big data. Graduates 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
? Industrial Al
? Internet of Things (loT)
? Smart City
JUPAS Entrance Requirements
| JS1074 BSc Data and Systems Engineering | |
| HKDSE Subject | Minimum Level Required |
| English Language | Level 3 |
| Chinese Language | Level 3 |
| Mathematics | Level 3 |
| Citizenship and Social Development | Attained |
| Elective 1 | Level 3 |
| Elective 2 | Level 3 |
Notes:
- Besides Category A elective subjects, Mathematics extended modules (M1/M2) and “other languages” (at grade E or above) can also be used to meet the elective requirement. If students take both M1 and M2, they are counted as one subject only.
- Applied Learning subjects are not counted as elective subjects.
- For details of the alternative Chinese Language qualifications acceptable by the University for Non-Chinese Speaking (NCS) students, please click here.
Direct/ Non-JUPAS Applicants Entrance Requirements
To be considered for admission, you must satisfy the General Entrance Requirements.
First Year Curriculum
First-Year Curriculum | Courses | No. of Credit Units | ||||||
| General Education | University Requirements | ? GE1401 University English; and ? Discipline-specific English; and ? GE1501 Chinese Civilisation - History & Philosophy | 9 | |||||
| School Specified Requirements | School Specified GE courses for normative four-year degree:
| 9
| ||||||
| Distributional Requirements | At least one course from each of the three areas: Area 1: Arts and Humanities | 12 | ||||||
| School Requirement / Major Requirement | MA1503 Linear Algebra with Applications | 4 | ||||||
| Major Requirement | SDSC2004 Data Visualization | 3 | ||||||
| Total No. of Credit Units: | 37 | |||||||
For details of the programme’s curriculum structure, please visit the ‘Undergraduate Catalogue’.
Offering a solid foundation in data science and intelligent systems, the BSc Data and Systems Engineering programme equips students with strong analytical and decision-making skills, enabling them to analyse, manage and improve enterprise-class systems. The enterprises considered may be businesses, governmental institutions or service-oriented engineering organisations. Main data science application subjects in this program covers data-driven financial technologies, smart city, artificial intelligence, and industrial internet of things.
BSc Data and Systems Engineering students are nurtured to become analytically minded and versatile graduates capable of collecting, analysing and interpreting big data. With such skills, they are proficient at transforming vast amounts of information into actionable insights, enhancing decision-making in their organisations.
The programme provides four flexible categories of advanced knowledge:
a) FinTech
b) Industrial AI
c) Smart City
d) Internet of Things (IoT)
理學(xué)士(數(shù)據(jù)與系統(tǒng)工程)：課程注重建立學(xué)生的數(shù)據(jù)分析思維以致應(yīng)用數(shù)據(jù)科學(xué)技能來(lái)描繪現(xiàn)實(shí)中的各類(lèi)複雜系統(tǒng)與過(guò)程，培養(yǎng)學(xué)生成為數(shù)據(jù)分析、系統(tǒng)建模、知識(shí)發(fā)現(xiàn)和決策優(yōu)化的專業(yè)人才。教學(xué)上涵蓋數(shù)據(jù)統(tǒng)計(jì)分析、知識(shí)挖掘、系統(tǒng)工程、人工智能等專題。讓學(xué)生有機(jī)會(huì)認(rèn)識(shí)數(shù)據(jù)科學(xué)於社會(huì)和業(yè)界的廣泛應(yīng)用層面及實(shí)踐需求，同時(shí)強(qiáng)化學(xué)生對(duì)資料採(cǎi)集、分析和應(yīng)用創(chuàng)新的實(shí)踐能力。本課程涵蓋以下四個(gè)選修範(fàn)疇：
1) 金融科技
2) 工業(yè)人工智能
3) 智慧城市
4) 物聯(lián)網(wǎng)
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
Scholarships are available, please refer to the details at http://www.jvrhmfr.xyz/scholarship/.
The Department provides student exchange and internship opportunities to our students to gain international perspectives, global engagement and industry experience.
Students may choose between the overseas student exchange opportunities at world-leading institutions provided by the Department or the University. Paying the tuition at CityUHK, students will spend a study semester abroad and may transfer the academic credits earned at the host institution to fulfil the graduation requirement.
The Department also partners with premier corporates in a wide range of sectors to offer internship opportunities relevant to our majors. With these placements, students are expected to gain practical knowledge and hands-on experience in real-world applications.
