Bachelor of Science in

Statistics/Risk Management

Faculty oF Sciencethe univerSity oF hong Kong

The Department of Statistics and Actuarial Science, established in 1967, is one of the largest statistics departments in the Far East

region. It serves the University and the disciplines of Statistics and Actuarial Science through the interrelated functions of teaching, consultation

and research. The department’s teaching and learning is featured by (1) a BSc degree majoring in (i) Statistics or (ii) Risk Management, (2) a BSc(Actuarial Science) degree, (3) a Master of Statistics degree by course work, and (4) research postgraduate degrees of MPhil and PhD.

The Department of Statistics and Actuarial Science is the ideal department to provide students with solid training

in probability and statistics --- the subjects that underpin the study of statistics, risk management and actuarial

science. Through selective courses in the University, particularly in the Faculties of Science, Business and Economics, and Social Sciences, our students can acquire good exposures to mathematics, life sciences, economics, finance,

accounting, business, sociology, psychology, computer science and other disciplines.

The world is rife with uncertainty. Decisions are often made in spite of incomplete data, imperfect knowledge and random variation. Statistics is the study of such variability and uncertainty by developing and applying analytic and quantitative tools which involve logical thinking, problem formulation, probability reasoning and intensive data analyses. Statistics appears in almost all areas of science, business, research, and wherever data are obtained for the purpose of finding information in support of decision making. Statistics has been described as the generic science of making conclusions in the presence of uncertainty.

Our programmes cater for students with good mathematics background and are designed to meet a steadily rising demand for specialist statisticians or risk analysts in government, industry, finance and in research and teaching in local and/or overseas institutions. Students interested in our programmes may take either Statistics or Risk Management as their major, and major or minor in a second subject. They may, in particular, minor in Actuarial Studies, which makes a good combination with their major discipline.

Given the expanding use of data in all realms of the society, we encourage students from all fields to consider pursuing either a major or minor in Statistics or Risk Management. We have students who are double majors in various fields of application, and minors from a wide range of departments across campus. A minor in Statistics or Risk Management can be an excellent complement to a degree in another field.

Programme StructureStudents admitted to the BSc degree may choose to major or minor in Statistics or Risk Management, and/or minor in Actuarial Studies. They may in addition major or minor in an option available in the Faculties of Science, Arts, Business and Economics, Education and Social Sciences, among others. In particular, the Minor in Actuarial Studies offered by the Faculty of Science makes a good choice for students majoring in Statistics or Risk Management.

Aims and Features

Who quAliFy FoR loAn

yes

Loan not approved

no

yes no

Income< $8000?

CredibilityScore< 600?

Loan not approved

Loan approved

Students who wish to major in Statistics or Risk Management can apply for entry to the BSc programme under the single admission scheme.

JuPAS applicantsSelection for admission is based mainly on HKALE results, HKCEE results, and academic references (www.hku.hk/admission/ug.htm).

non-JuPAS applicantsNon-JUPAS applicants are selected based on academic merit, language and communication skills, motivation, relevant work experience, and extra-curricular activities.

Admission RequirementsThe world is becoming more and more quantitative and data focused. Many professions depend on numerical measurements to make decisions in the face of uncertainty. Jobs for statistics graduates are found in all sectors of the society. The implementation of BASEL Accord II for the financial institutions over the world also boosts the demand of jobs using quantitative risk analyses and management. Our graduates readily find employment in government, banking, finance, risk management, insurance, IT, marketing research, hospitals, environmental protection, scientific research and universities. They are well received by top graduate schools and organizations. Statisticians often play critical roles in large-scale, multi-disciplinary studies, providing guidance on all aspects of data collection and determining objective findings. Our graduates have jobs under surprisingly many different titles, which are related to collection, analysis and interpretation of data in support of decision making in all sorts of institutions and companies.

Job opportunities in statistics and risk management are projected to remain favourable in the future. As the demands of quantitative skills from every field rise, an increasing number of statisticians and risk managers are required. For example, our graduates have found employment with:

• AC Nielsen (China) Limited (Manager)• Aviva General Insurance Limited (Analyst)• Bank of China (Hong Kong) Limited (Senior Section Head,

Corporate Banking and Financial Institutions Department)• Bank of Communications (Credit Analyst) • Census and Statistics Department, HKSAR (Senior Assistant Commissioner/

Senior Statistician/statistician/Research Manager)• Chicago Mercantile Exchange, U.S. (Director of Research & Product

Development)

Career Prospects

This programme equips students with powerful mathematical, analytic and computational skills, which are in great demand in many practical areas. It establishes for students a strong background in statistical concepts, and aims to provide a broad and solid training in applied statistical methodologies. Career opportunities are available in business, finance, industry, computing, marketing, communications, environmental protection, health organizations, as well as in scientific and academic research.

Required courses (72 credits)

1. introductory level courses (18 credits)STAT1301 & STAT1302plus at least one course from: STAT1303, STAT1304, STAT1305

2. Advanced level courses (48 credits)STAT2301, STAT3301, STAT3302 & STAT3304Plus at least four courses from Lists A and B, among which at least two courses from List A:list A: STAT2302, STAT2303, STAT2308, STAT2312, STAT2313, STAT3306,

STAT3308, STAT3316, STAT3317, STAT3322, STAT3811, STAT3821list B: STAT2304, STAT2305, STAT2306, STAT2307, STAT2309, STAT2310,

STAT2315, STAT2320, STAT2801, STAT2805, STAT2812, STAT3810

3. Experiential learning requirement (6 credits)*Students must take at least one of the following forms of extra-ordinary learning experience to fulfill the experiential learning requirement:– STAT2318 Directed studies in statistics– STAT3319 Statistics project (12 credits)– STAT3988 Statistics internship– SCNC2005 Career development for science students– Exchange programme via HKU World Wide Exchange Programme (1 semester or 1

year)– Any other activities determined by the Faculty to conform to the spirit of

experiential learning experience * If the extra-ordinary learning experience is fulfilled by non-credit bearing activities,

students must take an additional 6-credit advanced level statistics course (STAT2000 or STAT3000 level)

MAJoR in StAtiStiCS

The Risk Management major programme enables students to gain an intellectual understanding of both financial and investment risks. Exposure to various statistical techniques for risk modelling is provided, with specific applications to financial and insurance problems. Students may obtain their professional qualifications for risk managers by sitting for the FRM and PRM examinations, organized by the Global Association for Risk Professionals and the Professional Risk Managers’ International Association, respectively. In addition, the programme may assist students in developing an actuarial career as some courses cover parts of the examination syllabuses of the Society of Actuaries. Career opportunities are available in financial institutions and large corporations including banks and consulting firms.Required courses (72 credits)

1. introductory level courses (18 credits)STAT1301 & STAT1302 plus at least one course from: STAT1303, STAT1304, STAT1305

2. Advanced level courses (48 credits)STAT2301, STAT2309, STAT2320 & STAT3301 plus at least four courses from: STAT2303, STAT2310, STAT2312, STAT2315, STAT2812, STAT3308, STAT3321, STAT3322, STAT3821

3. Experiential learning requirement (6 credits)*Students must take at least one of the following forms of extra-ordinary learning experience to fulfill the experiential learning requirement:– STAT2318 Directed studies in statistics– STAT3319 Statistics project (12 credits)– STAT3988 Statistics internship– SCNC2005 Career development for science students– Exchange programme via HKU World Wide Exchange Programme (1 semester or 1

year)– Any other activities determined by the Faculty to conform to the spirit of experiential

learning experience* If the extra-ordinary learning experience is fulfilled by non-credit bearing activities,

students must take an additional 6-credit advanced level statistics course (STAT2000 or STAT3000 level)

MAJoR in RiSk MAnAgEMEnt

Students majoring in other disciplines are welcome to minor in Statistics or Risk Management. The minor programme in Actuarial Studies is also available to eligible students, especially those majoring in Statistics or Risk Management.

Minor in Risk ManagementThe Minor in Risk Management enables students to gain exposure to financial and investment risks, and to various statistical techniques for modeling them. Specific attention is given to applications in financial and insurance problems.

Required courses (36 credits)1. introductory level courses (12 credits)

STAT0302 or STAT1301 or STAT1306 plus STAT1302 or STAT1303 or one of the advanced level courses listed below

2. Advanced level courses (24 credits)At least four courses from: STAT2309, STAT2310, STAT2311, STAT2312, STAT2314, STAT2315, STAT2320, STAT2812, STAT3301, STAT3308, STAT3321, STAT3322, STAT3821

Minor in StatisticsThe Minor in Statistics introduces to students important statistical concepts and provides them with exposure to applied statistical methodologies. A broad spectrum of courses is available for selection, covering topics which find applications in areas like business, finance, risk management, survey research, insurance, industry, medicine or computing.

Required courses (36 credits)1. introductory level courses (12 credits)

one course from: STAT0301, STAT0302, STAT1301, STAT1306Plus at least one of the following courses: STAT1302, STAT1303, STAT1304

2. Advanced level courses (24 credits)At least four courses from: STAT2301, STAT2302, STAT2303, STAT2304, STAT2305, STAT2306, STAT2307, STAT2308, STAT2309, STAT2310, STAT2311, STAT2312, STAT2313, STAT2314, STAT2315, STAT2320, STAT2812, STAT3301, STAT3302, STAT3304, STAT3306, STAT3308, STAT3316, STAT3317, STAT3322, STAT3811, STAT3821

Minor in Actuarial StudiesThe minor in Actuarial Studies provides a good complement to Statistics or Risk Management majors.

Required courses (36 or 42 credits)

1. introductory level courses (12 or 18 credits)(a) For students majoring in Risk Management or Statistics (12 credits) two courses from: STAT1305, STAT1802, STAT2303, STAT2306

(b) For students minoring in Risk Management or Statistics (12 credits) two courses from: STAT1302, STAT1801, STAT1802, STAT2303

(c) For students not belonging to the above two categories (18 credits) three courses from: STAT1301, STAT1302, STAT1801, STAT1802, STAT2303

2. Advanced level courses (24 credits)At least four courses from: STAT2801, STAT2805, STAT2812, STAT2807, STAT3810, STAT3811, STAT3821

MinoR oPtionS

• Chinese University of Hong Kong (Associate Professor in Finance)• First Shanghai Capital Limited (Strategist)• Hang Seng Bank (Assistant Database Marketing Manager,

Knowledge Management Department) • Hong Kong Exchanges and Clearing Ltd. (Senior Officer)• Hong Kong Monetary Authority (Senior Manager)• Housing Department (Finance Manager, Risk Management)• HSBC (Assistant Manager, Campaign Management, Marketing)• HSBC (Credit and Risk Manager, Asia Pacific Consumer Credit Risk)• HSBC (Senior Trader, Interest Rates, Global Markets)• Imperial College London (Lecturer in Statistics)• Independent Commission Against Corruption (Investigator)• Magna Finance Limited (Financial Analyst, Investment)• Marketing Decision Research (Pacific) Ltd. (Senior Research Executive)• Pacific Century Insurance Company Limited (Actuarial Analyst)• Roche Molecular Systems, U.S. (Manager, Nonclinical, Biostatistics)• San Miguel Brewery (Hong Kong) Limited

(Market Analyst)• SAS Institute Ltd. (Senior Analyst)• Synovate China Ltd.

(Market Researcher)• The University of Hong Kong

(Assistant Professor, Research Assistant Professor)

• Wing Hang Bank Risk Management Officer)

Being well-trained in

statistics can open many doors

GovernmentFinance,

credit scoring, actuarial work

Medical research, public health

Education, social sciences,

research

Environment, life sciences,

genetics

Business, market research,

industry

intERnShiP PRogRAMME

Internships are ideal ways to gain hands-on experience in a particular field while still in university. Many government departments, businesses and industries offer undergraduate students summer or year-long internships. The internship programme assists the students by advertising part-time/summer positions, sending the employer resumes of interested students, and arranging interviews with the students selected by the employer.

As an intern, the student will gain insight into the challenging world and daily activities of a statistician while increasing his/her technical, analytical and communications skills. Internship opportunities are posted in the web site http://www.hku.hk/statistics/ and will be updated regularly.

List of companies participating in the internship programme:

• AASTOCKS • AC Nielsen (China) • AIG • American International Assurance

(AIA)• Census and Statistics Department,

HKSAR • CITIC Capital Markets Holdings

Ltd.• Deutsche Bank AG • Ernst & Young • Hang Seng Bank

• Hong Kong Exchanges and Clearing Ltd.

• Hong Kong Institute for Monetary Research

• Hong Kong Monetary Authority• Hospital Authority• JP Morgan• Reinsurance Group of America

(RGA)• SAS Institute Ltd.• Standard Chartered Bank

2007 EMPloyMEnt StAtiStiCSCouRSE titlE

STAT0301 Elementary Statistical Methods STAT0302 Business Statistics STAT1301 Probability and Statistics ISTAT1302 Probability and Statistics IISTAT1303 Data ManagementSTAT1304 Design and Analysis of Sample SurveysSTAT1305 Introduction to DemographySTAT1306 Introductory Statistics STAT1801 Probability and Statistics: Foundations of Actuarial Science STAT1802 Financial MathematicsSTAT2301 Linear Statistical AnalysisSTAT2302 Statistical InferenceSTAT2303 Probability ModellingSTAT2304 Design and Analysis of ExperimentsSTAT2305 Quality Control and ManagementSTAT2306 Business LogisticsSTAT2307 Statistics in Clinical Medicine & Bio-medical ResearchSTAT2308 Statistical GeneticsSTAT2309 The Statistics of Investment RiskSTAT2310 Risk Management and InsuranceSTAT2311 Computer-aided Data AnalysisSTAT2312 Data MiningSTAT2313 Marketing Engineering

STAT2314 Business ForecastingSTAT2315 Practical Mathematics for InvestmentSTAT2320 Risk Management and Basel II in Banking and FinanceSTAT3301 Time-series AnalysisSTAT3302 Multivariate Data Analysis STAT3304 Computer-aided Statistical ModellingSTAT3306 Selected Topics in StatisticsSTAT3307 Project in StatisticsSTAT3308 Financial Engineering STAT3316 Advanced ProbabilitySTAT3317 Computational StatisticsSTAT3321 Credit Risk AnalysisSTAT3322 Market Risk AnalysisSTAT2801 Life ContingenciesSTAT2805 Credibility Theory and Loss DistributionsSTAT2812 Financial Economics ISTAT2807 Corporate Finance for Actuarial ScienceSTAT3810 Risk TheorySTAT3811 Survival AnalysisSTAT3821 Financial Economics II

Employment Sectors vs % of graduates

Commerce & Industry (92%)

Community, Social & Personal Services (8%)

Salary

Gross Income 2007 2006 Mean $12,477 $12,415 Median $12,750 $13,000 Minimum $8,500 $8,000 Maximum $16,333 $15,000

number of Full-time Job offers

40% One60% Two

intERnShiP PRogRAMME

yiu Chun Man, BSc(Risk Management) IIIHang Seng Bank (HK) Ltd [June ~ July, 2008]

Thanks to the referral by the Department, I was offered an opportunity to work as an intern in the PFS Business Risk Management Department of Hang Seng Bank last summer.

The internship programme was well-structured and we were given one-day classroom training to familiarise ourselves with the bank’s background, corporate value, communication skills, etc. Over the couple of months, I assisted in various projects, some of which required technical skills like SAS programming while others required risk management knowledge like credit scoring. I learnt a lot from these tasks for some of them were totally new to me. Credit must go to my colleagues who were very nice and willing to satisfy my curiosity.

As a risk management student, this internship experience is most valuable to my future career as it helped me understand more about the job nature of this profession and the key strengths required to succeed in the risk management field.

tai Shu yan, BSc(Risk Management) IIBank of China, Beijing [June ~ July, 2008]

Last summer, I worked as an intern in the Fixed Income Department of the Bank of China in Beijing, one of the leading banks in Greater China. It was a totally new experience for me to

work on the mainland and I learnt so much during the two-month internship, including the operation of a bank and the economic development of the region. I particularly appreciated the opportunity to work with top-class graduates of Tsinghua and Beijing University and have a taste of the working atmosphere in China. Those days were really unforgettable.

Wong hiu Man, Dora, BSc(Risk Management) IIICensus & Statistics Department (C&SD), HKSARG [June ~ July, 2008]

It was my pleasure to join the Business Expectation Statistics Section and assist in conducting the 2008 Annual Survey of Companies in Hong Kong Representing Parent Companies Located outside Hong Kong (SCoRP 2008). Although the internship lasted only for two months, I benefited a lot in terms of statistical knowledge, a variety of soft skills and friendship.

Prior to the days in C&SD, I had never taken part in any survey myself, not even a single procedure. The internship provided me with a good chance to put what I had learnt at the University into practice. Now I understand that collecting, summarising and analysing data are not that simple. It took our team about 4 months to finish the 7-page survey, which was indeed a pretty short one!

Aside from gaining valuable experience in conducting a survey, I also befriended many co-workers who were actually intern students from other local universities. Whenever we encountered any problems and difficulties, we tried our best to solve the cases together and not to give up so easily. I think this attitude is very important to my future career.

yuan Zhen, BSc(Statistics) IIISimon Fraser University, Canada [January ~ April, 2008]

The exchange study was definitely a fascinating experience in my university life. It showed me how big the world was and how broad one’s mind could be. Once my mind was opened, my stage extends as far as my heart goes. Now, I find more possibilities in both my academic study and career perspective. I wish this magical journey could happen again, if possible.

Wong Chun kit, BSc(Risk Management) IIIQueen’s University, Canada [September ~ December, 2008]

The exchange life in Canada was truly an unforgettable memory.

Upon our arrival, we were welcomed warmly by the teaching and supporting staff, who organised lots of orientations and gatherings for all exchange students. The local students there were nice and friendly, too. I made many friends soon after I had settled down and they helped me adapt to the new life in Kingston.

Unlike HKU, the learning atmosphere at Queen’s was very relaxing and my classmates all participated actively during the lectures. I learnt a lot and became more open-minded through working on the group projects with peers of different nationalities.

I shall cherish this impressive and invaluable experience evermore.

Chan Siu leung, BSc(Risk Management) IIIKeio University, Japan [September, 2008 ~ June, 2009]

The exchange study at Keio University is undoubtedly an invaluable and memorable experience in my life.

Like many other exchange students, however, I did experience a hard time during the first few weeks in Japan, as I could not communicate well in Japanese and I had never lived on my own.

When I finally got adapted to the new life there, I started to make friends with local people as well as exchange students from different countries. Together, we arranged trips to different parts of Japan. My social horizon was broadened and I understood my strengths and weaknesses more thoroughly. My Japanese also improved to an extent that I had no problem conversing with Japanese people in everyday life.

Had I not joined the HKU Worldwide Exchange Programme, my life would definitely have become duller and less colourful. If you have a chance to go on an exchange study, do not hesitate and just go for it!

Miss Chow Man yi, Money, 2007 graduate, Major in Risk ManagementProduct Control, DKR Oasis (HK)

During my study of the BSc degree with a major in Risk Management, I thoroughly appreciated the statistical tools that I have learnt and their applications to risk management. These quantitative skills and their theories are important and useful in today’s society. They will become even more important as firms (increasingly) appreciate the importance of managing and diversifying their risks related to their own business.

Mr. James l.y. Cheng, 2003 graduate, Major in StatisticsStatistician, Census and Statistics Department, HKSARG

The courses offered by the Department of Statistics and Actuarial Science of HKU were of a wide variety, covering areas including survey sampling, statistical inference, time series analysis, multivariate statistical analysis, etc. The comprehensive coverage equipped me with the knowledge that is crucial for my development in the profession of Statistics. In fact, Statistics is an interesting and useful subject: statistical concepts and methods can be applied to many aspects of daily life and are often critical for the success in research studies in fields like economics, finance, risk management, social sciences, health and medicine.

StuDEnt tEStiMoniAl

hku WoRlDWiDE unDERgRADuAtE StuDEnt ExChAngE SCholARShiPS

Students at HKU form many clubs and societies. Amongst these is a student Statistics and Actuarial Science Society. This society has an active social programme with members and departmental staff, and also plays an important role in promoting the subjects of statistics and actuarial science. The Department co-operates in many ways with this student society.

StAtiStiCS AnD ACtuARiAl SCiEnCE SoCiEty, hkuSu

There are many scholarships available to statistics students in each year of their study. In particular, some of our statistics students have been awarded the following scholarships:

• SawGoldMedal• SirEdwardYoudeMemorialScholarships• SawSweeHockStatisticsScholarships• StatisticsandActuarialScienceScholarships• Mizuho&WHBScholarship• EllenKooPrizeinSocialSciences• PeterHodgeMemorialBookPrize• ChanKaiMingPrize• ChungHwaTravelServiceScholarships

SCholARShiPS

The Scheme aims at providing a two-way communication between mentors and mentees. Through regular gathering and mutual sharing, mentees can learn from the mentors’ life experience and at the same time understand more about graduates’ employment situation and career prospects. In return, mentors will receive from the mentees the most updated information of current students, the Statistics and Actuarial Science Society (SASS), the Department and the University at large. Mentors may also get acquainted with their counterparts working in similar fields through this scheme.

AluMni MEntoRShiP SChEME

Professor howell tong, Honorary Fellow, Institute of Actuaries, U.K., the founding Chair of Statistics at the CUHK, and the founding Dean of Graduate School of HKU, is presently Chair of Statistics at the London School of Economics and Political Science. He served as a Pro-Vice-Chancellor of HKU, 2002-2004. Professor Tong received the Year-2000 Chinese National Natural Science Prize (Class II) in Mathematics and Mechanics and was the sole recipient of the 2002 Distinguished Research Achievement Award at HKU. He is a Foreign Member of the Norwegian Academy of Science and Letters. He is a pioneer of non-linear time series models including, in particular, the threshold model. Professor Tong was awarded the Guy Medal in Silver by the Royal Statistical Society (U.K.) in 2007 for his many important contributions to time series analysis.

DiStinguiShED ViSiting PRoFESSoR in StAtiStiCS

The Department is well supplied with computing facilities. Every staff member is provided with a desktop computer with connections to the campus network and the Internet. Softwares for e-mail and browsing the Internet are installed in all computers. There are two computer laboratories in the department for teaching purposes. One of the computer laboratories is equipped with 39 computers and the other with 19 computers, all connected with LCD monitors. We have 3 UNIX workstations and a web server for supporting our web service. Two NetWare servers are used for sharing files and printers. Other facilities include 10 networked printers, scanners, etc. Our staff and students can use a lot of statistical softwares such as SAS, SPSS, MATLAB, Mathematica, S-PLUS, JMP, SCA, GAUSS, TAS, etc. and other softwares for compiling programs. Softwares such as TeX and MS Office are provided for writing scientific manuscripts. All staff members have access to statistical databases subscribed by the HKU Main Library.

CoMPuting FACilitiES

Professor hans u. gERBER, Past President of the Institute of Actuarial Science at the University of Lausanne, Switzerland, is the leading actuarial science professor in the world. He has authored several influential actuarial textbooks which have been translated into many languages, including Chinese. In 1995, he won the Centennial Award of the International Actuarial Association. The Society of Actuaries awarded him its Annual Prize three times and its Edward A. Lew Award in 1999. He also won the David Garrick Halmstad Prize from the Actuarial Education and Research Fund twice.

DiStinguiShED ViSiting PRoFESSoR in ACtuARiAl SCiEnCE

Prin

ted

in A

pril

2009

MEMBERS oF ADViSoRy BoARD oF StAtiStiCS & RiSk MAnAgEMEnt StuDy PRogRAMMES

Dr. ivan S.F. chan Senior Director, Clinical Biostatistics, Merck Research Laboratories

Mr. h.W. Fung Commissioner, Census & Statistics Department, HKSAR

Professor t.l. lai Department of Statistics, Stanford University

Professor charles S. tapieroThe Topfer Chair Professor in Finance Engineering and Technology ManagementDepartment of Finance and Risk EngineeringThe Polytechnic Institute of New York University

Mr. vic thamManaging Director & Regional Head, Business & Operational Risk ManagementWholesale Banking, Greater China & JapanStandard Chartered bank (Hong Kong) Ltd.

Professor george tiaoGraduate School of Business, The University of Chicago

Dr. naitee tingDirector, Department of Biostatistics, Pfizer Global Research & Development

General enquiries please contact:Department of Statistics and Actuarial ScienceTel: 2859 2466 Fax: 2858 9041 Email: ug_enquiry@saas.hku.hk

or visit the Departmental web page at http://www.hku.hk/statistics

EnquiRiES

Dr. K.c. cheung BSc, PhD HK[Actuarial Science; Dependence Structures; Stochastic Orders; Risk Measures]

Mr. y.K. chung BSc, MPhil CUHK[Bioinformatics; Protein Modelling; Forensic Statistics; Monte Carlo Simulation]

Prof. t.W.K. Fung BSocSc HK; MSc Lond; PhD HK; DIC[Statistical Diagnostics and Robustness; Longitudinal Data Analysis; DNA Fingerprinting and Forensic Statistics; Statistical Genomics; Credibility Theory]

Dr. y. hu BSc, MSc Sun Yat-sen; PhD HK[Statistical Diagnostics; Statistical Genetics; Statistical DNA Forensics]

Dr. c.W. Kwan BSc, PhD HK[Influential observations; Multivariate statistics; Nonlinear random model]

Dr. eddy K.F. lam BA St. Thomas; MA New Brunswick; PhD HK [Multivariate Survival Analysis; Semiparametric Regression; Medical Statistics]

Prof. Stephen M.S. lee BA, PhD Cantab[Bootstrap; Resampling Methods; Statistical Theory: Asymptotics and Applications]

Dr. guodong li BSc, MSc Peking; PhD HK[Time Series Analysis; Financial Econometrics; Financial Risk Management]

Prof. W.K. li BSc, MA York; PhD W Ont[Time Series Analysis; Financial Econometrics; Environmental Modelling; Financial Risk Management; Actuarial Applications]

Dr. gilbert c.S. lui MSocSc, Birm; MPhil CUHK; PhD HK[Time Series Analysis; State-space Modelling; Environmental Statistics; Financial Time Series and Econometrics]

Dr. louis F.K. ng BA HK; MSc Br Col; PhD Tor; FSA, FCIA, CFA[Asset Liability Management; Enterprise Risk Management; Insurance Pricing Models; Pension Projection Models; Regression Analysis]

Prof. K.W. ng BSc CUHK; MSc Alberta; PhD Tor [Statistical Inference; Multivariate Analysis; Linear Models; Inverse Bayes Methods; Distribution Theory; Ruin Probability and Risk]

Dr. gary g. tian BSc Human Normal; MSc Wuhan; PhD Chinese Acad of Sc[Missing data problems; Constrained parameter models; Variable selection; Sample surveys with sensitive questions; Biostatistics]

Dr. raymond W.l. Wong BSc, MPhil CUHK; MA, PhD Pittsburgh; ASA[Actuarial Science; Errors-in-variables Regression Models; Monte Carlo Simulations; Robustness Studies and Applications of Asymptotic Theory]

Prof. h.l. yang BSc Inner Mongolia; MMath Waterloo; PhD Alberta; ASA [Actuarial Science; Insurance Risk Models; Mathematical Finance]

Dr. Philip l.h. yu BSc, PhD HK[Data Mining; Analysis of Discrete Choice and Ranking Data; Financial Data Analysis; Risk Management; Environmental Statistics]

Prof. K.c. yuen BSc, MSc, PhD Calgary; ASA[Insurance Risk Modelling; Financial Risk Analysis; Survival Analysis]

Dr. Z. Zhang BSc E China Normal, PhD HK[Time Series Analysis; Extreme Value Theory; Insurance Risk Modelling]

tEAChing StAFF AnD thEiR RESEARCh intEREStS