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Bachelor of Science (Honours) Scheme in Applied Mathematics and Finance Analytics (JUPAS code: JS3220)

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Entrance Year Sept 2026

Programme Code JS3220

Mode of Study Full-time

Normal Duration

4 years (including 1 year with common curriculum)

Programme Intake 21

Fund Type Government-funded

Credits Required for Graduation At least 126, depending on the student's HKDSE scores (plus 2 training credits)

* depending on the student's qualification (plus 2 training credits)

^ Current students who were admitted to 63425, 63426, and 63426-SY on or before 2021/22 academic year should refer to the respective Programme Requirement Documents at Curriculum for the required credit for awards.

 

Remarks

  • Students will be awarded one of the following awards upon successful completion of the graduation requirements of the programme concerned
    • BSc (Hons) in Applied Mathematics
    • BSc (Hons) in Investment Science and Finance Analytics
    • BSc (Hons) in Quantitative Finance and FinTech
  • Students are allowed to enroll on any awards without being subject to further assessment.
  • The option of Secondary Major in AI and Data Analytics (AIDA) is available to the students:
    • BSc (Hons) in Investment Science and Finance Analytics
    • BSc (Hons) in Quantitative Finance and FinTech
  • Admission to the Secondary Major is on competitive basis and subject to a different credit requirement for graduation. Please see “Secondary Major Details” section.
  • The Department will grant entry scholarship to eligible HKDSE students admitted to the scheme via JUPAS. Please visit Scholarships session for details. 

Aims and Characteristics

This 4-year full-time Scheme nurtures future finance analytics professionals and applied mathematicians with essential mathematical, statistical, and programming skills. Emphasizing interdisciplinary applications in investment and finance, it integrates key finance analytics, quantitative finance, and FinTech elements, preparing students for careers in digital finance or further studies in related fields. This Scheme is composed of three credit-based 4-year undergraduate programme majors:

  • Bachelor of Science (Honours) in Applied Mathematics (AM)
  • The Applied Mathematics major equips students with knowledge in financial mathematics, statistical analysis, computational methods, mathematical modelling, optimization, operations research, and differential equations. It's ideal for those aiming to further their studies or pursue careers in various sectors. 

    • Bachelor of Science (Honours) in Investment Science and Finance Analytics (ISFA)

    The Investment Science and Finance Analytics major focuses on strategic data use and mathematical modelling for financial analysis and investment decisions. It cultivates professionals with strong quantitative analysis, critical thinking, and communication skills, preparing them for careers in investment banking, fund management, risk management and financial product development.

    • Bachelor of Science (Honours) in Quantitative Finance and FinTech (QF&FinTech)

    The Quantitative Finance and FinTech major focuses on the strategic use of IT to integrate FinTech elements like blockchain, information security, algorithmic trading, robo-advising, deep hedging, and machine learning applications in finance. 

    Upon completion of the first year of study in foundation subjects in mathematics, statistics, computer programming, and languages, students may choose between three majors and will be awarded a degree in the selected major programme upon successful completion of graduation requirements of the programme concerned.

    Please check out the Programme Brochure (to be updated) for further information.

    *Subject to approval, this Scheme will begin admitting students for the 2025/26 cohort.

Admission

The interview aims to test the potential for and interest of applicants in the scheme/programme and their communication skills.

For HKDSE applicants:

Selected applicants will be invited to attend an interview prior to the announcement of HKDSE results.

For other applicants:

Selected first choice applicants will be invited to have onsite / online interviews.

Curriculum

All students admitted to the Scheme will take a common set of subjects in their first year and select one of the majors under the Scheme in their second year. Students are requested to complete all the General University Requirement (GUR) and Discipline-Specific Requirements (DSR), including compulsory subjects, elective subjects, common applied science subjects and a one-year capstone project to fulfill the credit requirement for graduation.

(Details will be announced soon) 

BSc (Hons) in Applied Mathematics

BSc (Hons) in Investment Science and Finance Analytics

BSc (Hons) in Quantitative Finance and FinTech

Subject library

Recognition and Career Prospect

Graduates with the major in BSc (Hons) in Investment Science and Finance Analytics are expected to receive partial exemption from the professional assessment of:

  • Hong Kong Securities and Investment Institute*
  • Hong Kong Statistical Society
  • Royal Statistical Society of UK

* Graduates with economic/finance or relevant degree qualification could apply for license by passing Licensing Examination for Securities and Futures Intermediaries Paper 1 only and would be exempted from Papers 7 & 8. Student should submit his application to HKSI. Exemption will be considered for candidates who achieve satisfactory results in specified papers. For details, please visit www.hksi.org/hksi/index.php?option=com_content&view=article&id=71&Itemid=98&lang=en

The ISFA programme is affiliated with the CFA Institute University Affiliation Program. This affiliation demonstrated that the ISFA curriculum is closely tied to professional practice and is well-suited to preparing students to sit for the CFA examinations.  The curriculum has been acknowledged as covering at least 70% of the CFA Program Level I Candidate Body of Knowledge (CBOK) topics. Through participation in the affiliation program, CFA student scholarship is available to ISFA students. 

Professional Recognition Logo

Graduates of this Scheme will be able to pursue careers as data analysts / finance analysts in a broad range of industries:

  • Asset Management Companies
  • Commercial and Investment Banks
  • Database Management Service Companies
  • Government and public utilities
  • Healthcare
  • Information Technology Solution Providers
  • Insurance Companies
  • Marketing Research Companies
  • Regulatory Authorities
  • Retails
  • Securities Institutions
  • Trading Platform Providers
  • Urban Planning etc..

Finance HealthcareRetailentertainment

 

Alumni Message

The Investment Science programme helped me develop analytics and problem solving skill which has laid a strong foundation for my career development.

 

Elvis Wong

Standard Chartered Bank, Private Wealth Management
Elvis

This programme integrated both mathematical and financial knowledge. I’m well prepared to establish insight through analyzing data and pursue career in the banking industry.

Jenna Ho

Citibank
Jenna Ho

During my study at AMA, I not only benefited from attending lectures and receiving guidance from esteemed professors but was also encouraged to delve deeper into various domains, which has equipped me with skills and knowledge in the areas of Mathematics, Finance, and Computing, and strengthened my professionalism in the financial industry.

Kelvin Ng

HK Exchanges and Clearing Ltd.
Kelvin Ng_202324

Beyond the classroom teaching, we have ample learning opportunities that provided us an exceptional platform to achieve both academic and personal growth, while also fostering an international perspective.

Dong Nancy

Postgraduate Student, University of Oxford
Dong Nanxi_AMA_cropped

AMA’s professors are very enthusiastic. PolyU has a solid and extensive alumni network which greatly facilitates students’ career planning.

Zhuang Yufan

Postgraduate student, University of California San Diego
Zhuang Yufan

The ISFA programme has equipped me with a solid foundation in finance and mathematics, and instilled in me a data-driven mindset, enabling me to analyze financial trends and make informed decisions. The knowledge has been instrumental in my career in the banking industry.

Eurus Lam

The Bank of East Asia
Eurus Lam_ISFA 202324_Crop

AMA’s teachers are very supportive and patient. They guided me to fill the knowledge gap and develop passion in Mathematics study. 

Charlotte Ng

Postdoc
NG Hoi Min

AMA programme offers a comprehensive curriculum that encompasses statistics, finance, and computer programming, equipping me with practical skills applicable to data analysis. Through academic studies, exchange experiences, and work opportunities, I have experienced personal growth and enhanced problem-solving skills.

So Tze Yau

AXA China Region Insurance Company
So Tze Yau_cropped

From the basic theories of Mathematics, Statistics and Finance, to their real world applications in Finance industry, I’m equipped with analytical, organizational and communication skills to develop a prospective and wonderful future.

Jocelin Chan

Census and Statistics Department, HKSAR
Jocelin Chan

The IS programme is a perfect blend of statistics, programming, finance and definitely helpful for my future study and career. The courses prepared me for pursuing further study in Data Science. Our department would also offer us research opportunities and keep us posted for any update on the career market. 

 

Zhang Xingyue

Student of Master of Science in Data Science, EPFL, Switzerland
Zhang Xingyue_crop

Studying in AMA is an unforgettable experience to me. Exchange and internship opportunities were always open for us to strengthen our learning experiences and help us find our true selves. Many of us have found our career paths by taking internship. I plan to pursue further study and have gained support from professors for taking a Master’s degree.

Heidi Wan

Secondary School Teacher
Heidi-2

The ISFA programme offers a diverse range of courses in Finance and Computer Science, as well as internship and research opportunities which have helped me establish a solid foundation of knowledge and skills in these areas. The professors are not only experts in their respective fields but also passionate about teaching. This creates a collaborative and supportive learning environment.  

Kwok Ngok Sang

MPhil student
Kwok ngok sang_cropped

Enquiry

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