The Hongkong Polytechnic University
香港理工大学
Master of Science in Accounting and Finance Analytics
会计和金融分析硕士
The advancement of information technology has made a great impact on the way of doing business and the practices in the accounting and finance profession. At the same time, the applications of data analytics have become increasingly important and significantly affected almost every business sector and industry. With the widespread application of emerging new digital technology to the accounting and finance profession, there is a need to equip students with the training of technological skills and knowledge to cope with the demands of the business community.
信息技术的进步对会计和金融行业的经营方式和实践产生了巨大的影响。同时，数据分析的应用变得越来越重要，几乎影响到每个商业部门和行业。随着新兴数字技术在会计和金融行业的广泛应用，需要为学生提供技术技能和知识的培训，以适应商业社会的需求。
The Master of Science in Accounting and Finance Analytics programme is designed for graduates to develop a broad understanding of the accounting and finance disciplines and the applications of state-of-the-art technologies to manage the changing landscape in the fields of accounting and finance.
会计和金融分析学硕士课程是为研究生设计的，以培养对会计和金融学科的广泛了解，以及运用最先进的技术来管理会计和金融领域不断变化的形势。
The programme aims to provide students with a combination of core knowledge in accounting and finance and skills in applying data analytics and technology to the related practices. It facilitates practitioners in accounting and finance to keep up with the latest data analytics applications and skills.
该项目旨在向学生提供会计和财务方面的核心知识，并将数据分析和技术应用于相关实践。它有助于会计和金融从业人员跟上最新的数据分析应用和技能。
The programme emphasizes on:
basic skills and knowledge of data analytics in accounting and finance;
core knowledge in accounting and finance;
applications of data analytics in accounting and finance;
systematic training and development of data analytics skills and capability in solving business problems in accounting and finance;
enhancement of ability to solve accounting and finance problems using big data.
该项目强调：
具备会计和财务数据分析的基本技能和知识；
会计和财务方面的核心知识；
数据分析在会计和金融中的应用；
系统的培训和开发数据分析技巧和解决会计和财务业务问题的能力；
增强使用大数据解决会计和财务问题的能力。
Curriculum
课程
Students can pursue their studies with either a full-time study load (taking 9 credits or more in a semester) or a part-time study load (taking less than 9 credits in a semester). In general, one evening class per week will be scheduled for each subject in Semesters 1 and 2 and two evening classes per week in an optional Summer Term.
学生可以进行全日制学习（一学期修9学分或9学分以上）或兼职学习（一学期修9学分以下）。一般来说，每学期1和2每门课程每周安排一堂晚课，暑期学期每周安排两堂晚课。
Depending on their study pace, students should normally be able to complete the programme full-time in 1 to 1.5 years and part-time in 2 to 2.5 years with a maximum study period of 5 years. Students will be required to attend more classes in the evening if they choose the full-time option and the duration will be subject to class quota availability.
全日制学习：1-1.5年
全日制：学生将被要求参加更多晚上的课程
The programme offers structured progression patterns, and students are highly encouraged to follow the patterns to benefit from a cohort-based study and to graduate within 1-1.5 years for the full-time option, or within 2.5 years for the part-time option.
根据他们的学习进度，学生通常应该能够在1至1.5年内完成全日制课程，并在2至2.5年内完成非全日制课程，最长学习期为5年。如果学生选择全日制课程，他们将被要求在晚上参加更多的课程，课程期限将视课程配额而定。
The following is a summary of the core areas of study. Detailed information will be provided upon registration.
Compulsory core subjects (27 credits)*核心课程
AF5115 Accounting for Business Analysis
AF5203 Contemporary Issues in Accounting Information Systems
AF5344 Investments
AF5312 Principles of Corporate Finance
AFxxxx Quantitative Methods for Accounting and Finance
AFxxxx Applications of Computing and Technology in Accounting and Finance I
AFxxxx Business Analytics in Accounting and Finance
AFxxxx Financial Analysis and Valuation with Programming
AFxxxx Applications of Computing and Technology in Accounting and Finance II
Elective Subjects+ (3 credits, select any 1 from the following) 选修课程
AFxxxx Accounting and Financial Analytics Project
AF5201 Auditing Framework
AF5322 Corporate Risk Management
AF5351 Derivative Securities
AF5323 Fixed Income Securities
AF5112 Management Accounting
AF5353 Security Analysis and Portfolio Management
MMxxxx Business Intelligence and Decisions
COMP5XXX Data Structures and Database Systems
COMP5511 Artificial Intelligence Concepts
Admission Requirements
录取要求
- A Bachelor's degree in accounting or other relevant disciplines; 会计本科或者相关专业
OR
- Equivalent professional qualifications.
等同的职业资历
Preference will be given to applicants with at least one year of relevant work experience.
会给与有至少一年工作经验的申请者优先政策
A Bachelor’s degree from a recognized university.
Interested applicants with little or no working experience are encouraged to apply. Due to limited intake quota for this programme, early application is strongly encouraged.
If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purpose.
A Test of English as a Foreign Language (TOEFL) score of 80 for the Internet-based test or 550 for the paper-based test;
OR
An overall Band Score of at least 6 in the International English Language Testing System (IELTS).
托福 80 雅思 总分6.0
We have a quota for admissions. Early applications are strongly encouraged. Suitable candidates may be invited to attend admission interviews.
强烈推荐早期申请。合适的候选者将被邀请面试
Classes are normally scheduled on weekday evenings in three semesters (including an optional Summer Term) within an academic year.
Student visa, accommodation and other information for non-local students: 签证 住宿其他信息
Non-local students must obtain a valid student visa issued by the Hong Kong Immigration Department before being allowed to register as students or commence study with PolyU.
For information on accommodation, please refer to www.polyu.edu.hk/hall/index.php/non-local-students/university-managed-accommodation.
Tuition Fee
学费
Program Fee
The total program fee for the 2019 - 2020 intake is
HK$159,500 per programme (30 credits) for local students.
HK$213,000 per programme (30 credits) for non-local students.
