Master of Science in Artificial Intelligence and Business Analytics
Hong Kong, Hong Kong
MSc
DURATION
3 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
On-Campus
* late application will be considered, subject to the availability of places
Key Summary
About: The MScAIBA at Lingnan University combines AI, machine learning, big data, and business analytics to solve practical business problems. It covers core principles and applied techniques so students apply AI tools and analyze business data for decisions. Lingnan is a Hong Kong university founded in 1888 and named Top 10 liberal arts college in Asia.
Career Outcomes: To graduate, students must complete six core subjects and four electives for a total of 30 credits. Graduates can work as business analysts, data scientists, AI engineers or analytics consultants, or pursue research. Employers may include tech firms, financial institutions and consultancies.
With the rapid development of artificial intelligence (AI) and big data techniques in recent years, there have been a huge number of innovative applications in various domains. AI and business analytics are an inter-disciplinary sub-field that integrates knowledge and skills from both critical and out-of-the-box thinking to process business datasets through the use of AI techniques.
The Master of Science in Artificial Intelligence and Business Analytics (MScAIBA) emphasizes a balanced coverage of subjects in AI and business analytics, as well as focuses on business data analytics by using AI techniques to solve practical business problems.
Aim
The programme is designed to educate students about the fundamental principles and practical applications of AI and business analytics techniques, especially in the domain of business, so that they can effectively apply AI tools and techniques when problem-solving, as well as analyse business problems by using data analytic skills and AI techniques when decision making.
Core Courses (Six courses)
- CDS504: Business Data Analytics
- CDS521: Foundation of Artificial Intelligence
- CDS522: Business Data Management
- CDS523: Principle of Data Analytics and Programming
- CDS524: Machine Learning for Business
- CDS525: Practical Application of Deep Learning
Elective Courses* (Any four)
- CDS505: Mobile Technology and Applications in eBusiness
- CDS510: Social Media for eBusiness
- CDS511: Project Management with Software
- CDS515: Business Decision Making with Software
- CDS526: Artificial Intelligence-based Optimisation
- CDS527: Big Data Analytics
- CDS528: Blockchain
- CDS529: Project for Artificial Intelligence and Business Analytics
- CDS530: Healthcare Analytics
- CDS531: Marketing Analytics and Intelligence
- SCI501: Location Intelligence
* The offering of elective courses is subject to sufficient demand and faculty availability.
Pre-entry Course
Applicants with no or limited background in computer science or statistics will be required to complete two pre-entry courses below:
- Introduction to Computing
- Statistics
Special Features
- It provides students with knowledge that spans the core disciplines of Artificial Intelligence (AI) and business analytics and integrates various disciplines to allow students to better understand all aspects of AI and business analytics and how they are used in the real world.
- It takes into consideration more practical business applications and frontier technologies by combining AI and business analytics with blockchain, marketing, healthcare, geographical information systems, and optimisation. Thereby enhancing the competitiveness of graduates in the job market.
- It serves a wide range of professionals, decision and policymakers who need to process and analyse big data. It is also ideal for healthcare and public utility sector practitioners who understand the importance of AI and business analytics in enhancing the quality of society and the effectiveness of operations.
- It develops students’ analytical and critical thinking, as well as their problem-solving skills, which enables graduates to pursue careers as business analysts, data analysts, data scientists, and AI consultants/experts across various industries.
Scholarships
Scholarships might be considered for outstanding students on the basis of academic merit. All students admitted to the programme will automatically be the candidates for the scholarships.
Financial Assistance
Government Student Financial Assistance
Local students are eligible for applying the Extended Non-means Tested Loan Scheme (ENLS). For eligibility and details, please visit the Working Family and Student Financial Assistance Agency's website.
To graduate, students must complete six core subjects and four electives for a total of 30 credits. The core courses allow students to establish a strong foundation in AI and business analytics. A diversified choice of elective subjects is offered to cater for students' interests, abilities and career plans while students may learn more advanced and/or practical knowledge across various domains.
