Program Overview

Introduction to the Bachelor of Science (Honours) Scheme in Applied Mathematics and Finance Analytics

The Bachelor of Science (Honours) Scheme in Applied Mathematics and Finance Analytics is a comprehensive program designed to nurture future finance analysts, FinTech professionals, and applied mathematicians. This 4-year full-time scheme integrates key finance analytics, quantitative finance, and FinTech elements with essential mathematical and statistical training.

Program Overview

The scheme consists of three major programs:

• BSc (Hons) in Applied Mathematics
• BSc (Hons) in Investment Science and Finance Analytics
• BSc (Hons) in Quantitative Finance and FinTech

Admission Requirements

To be eligible for the scheme, applicants must satisfy the University's General Entrance Requirements. Preferred subjects with the highest weighting for admission score calculation include English Language, Mathematics, and other science-related subjects.

Program Structure

All students admitted to the scheme take a common set of subjects in their first year and select one of the majors under the scheme in their second year. The program structure includes:

• Year 1: Common Year 1 curriculum with some subjects of the General University Requirements (GUR)
• Year 2: Students are streamed into one of the three majors under the departmental scheme
• Year 3: Students complete most of the compulsory Discipline-Specific Subjects for Major Study
• Year 4: Students enjoy the flexibility of selecting Discipline-Specific Subjects for Major Study and undertake a Capstone Project

Career Prospects

The scheme is designed to elevate students' analytical, critical thinking, problem-solving, and communication skills, preparing them for a wide array of careers in sectors such as investment banking, quantitative finance, FinTech, risk management, and financial product development.

Professional Recognition

Graduates of the BSc (Hons) in Investment Science and Finance Analytics program are expected to receive recognition or partial exemption from professional assessments, including the Chartered Financial Analyst (CFA) Institute and the Hong Kong Securities and Investment Institute (HKSI).

Double Major Options

Students interested in expanding their studies beyond a single degree may apply for a Second Major from another department within the Faculty of Computer and Mathematical Sciences. Available Double Major study options include:

• Applied Mathematics + Computer Science
• Applied Mathematics + Enterprise Information Systems
• Applied Mathematics + Financial Technology and Artificial Intelligence
• Investment Science and Finance Analytics + Computer Science
• Investment Science and Finance Analytics + Enterprise Information Systems
• Investment Science and Finance Analytics + Financial Technology and Artificial Intelligence
• Quantitative Finance and FinTech + Computer Science
• Quantitative Finance and FinTech + Enterprise Information Systems

Fast-track Integrated Bachelors and Masters Degree Programme

The AMA fast-track program enables high-achieving students to complete both undergraduate and taught postgraduate studies in a shorter time frame with reduced tuition fees.

Secondary Major Details

The option of a Secondary Major in Artificial Intelligence and Data Analytics (AIDA) is available to students of BSc (Hons) in Applied Mathematics and BSc (Hons) in Investment Science and Finance Analytics. Selection criteria include a cumulative GPA of 2.70 or above, and students must apply to and obtain approval from the program-offering Department no later than the commencement of the second year of study.

Entrance Requirements and Subject Weightings

Satisfy the University's General Entrance Requirements. Preferred subjects with the highest weighting for admission score calculation include English Language, Mathematics, and other science-related subjects.

Application and Interview Arrangements

Application procedures and interview arrangements vary depending on the admission route (JUPAS, Non-JUPAS Year 1, International/Other Qualification, or Non-Local). Interviews aim to evaluate applicants' potential and interest in the scheme, as well as their communication skills and general knowledge for applied mathematics, investment science, and finance analytics, or quantitative finance and FinTech.