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College of Business
商學院
Department of Management Sciences
管理科學系
Student Handbook
2013-2014
Bachelor of
Business Administration in Business Analysis
produced by Design and Production Services UP CityU
工商管理學士(商業分析)
Student Handbook
2016-2017
Department of Management Sciences
College of Business
City University of Hong Kong
Tat Chee Avenue
Kowloon
Hong Kong
Tel: (852) 3442 8644
Fax: (852) 3442 0189
Email: [email protected]
Website: www.cb.cityu.edu.hk/ms/bbabanl/
Contents
Welcome Message ......................................................................................................... 3
About the Department of Management Sciences .……………………………..… 4
BBA Business Analysis ….…………………………………………………………..……………………. 5
Programme Highlights……………………………………………………………………………..……… 6
Major Core and Major Elective Courses…………………………………………………….. 8
Programme Structure…………………………………………………………………………………….… 10
Course Description …………………………………………………………………………………………. 14
Three Focus Areas in BANL ………………………………………………………………………... 20
Career Prospects for Students ……………………………………………………………………..
21
Where Our Graduates Work ………………………………………………………………………
22
Preparation for Professional Qualifications ………………………………………………
Assessment and Awards ………………………………………………………………………………
23
27
Frequently Asked Questions ……………………………………………………………………….
28
Academic Calendar 2016/2017 ………………………………………………………………..
Important Dates for Academic Year 2016/17 ………………………………………..
31
33
1
2
Welcome Message
As a student in our Department, you will benefit from a wide choice of courses,
state-of-the-art curricula, and caring academic staff who create a supportive
learning environment. Whatever your future career plan may be in the area of
Business Analysis or other business disciplines, you will find our programme
specially designed and tailored to suit your needs and interests.
Many of our graduates already provided outstanding service as business analysts
and managers in Hong Kong and beyond. Working together, we will continue to
give you the means to join them.
The purpose of this handbook is to provide you useful information that you will
need for your study here. Please read the handbook carefully. Further useful
information can also be found in our department’s website
(www.cb.cityu.edu.hk/ms/bbabanl) and facebook (https://www.facebook.com
/cityuBANL/).
Finally, I wish you the best in your studies and look forward to seeing you during
the coming year.
Prof Frank Chen
Head
Department of Management Sciences
3
About the Department of
Management Sciences
The Department of Management Sciences at the City University of Hong Kong is
noted for its strong academic programmes. Most of the staff obtained their doctoral
degrees from prominent universities in USA, Canada, UK and Australia. Together, they
have many years of local and overseas experience in teaching and consulting. The size
and the activities of its staff have made the Department one of the largest departments
of management sciences in the Asia-Pacific region. The Department has three main
functions: teaching, research and professional services. In all three areas, the work carried
out is business oriented, with an emphasis on practical application of quantitative skills.
The teaching and degree programmes offered by the Department are wide ranging,
and emphasize the applications of quantitative techniques in a very broad sense. It
produces graduates who are well received by local business organizations, testified by
the positions held by past graduates. The staff’s superior teaching skills are well
recognized and the Department has won several Teaching Excellence Awards
presented by the University.
4
BBA Business Analysis
Discover Smart Insight from Big Data!
Nowadays, managers need to possess both qualitative and quantitative abilities
to solve business problems and make decisions. The BBA Business Analysis
programme aims to
• provide students with professional training in business analytics, statistics,
business intelligence, risk management, marketing analysis, business knowledge
and communication skills;
• develop students’ ability to manage and analyse huge volume of business
data using SAS, SPSS, Excel VBA computing software popularly used in the global
business world;
• enable students to solve business problems by a judicious application of
technical and practical skills;
• enable students to obtain internationally recognized professional
qualifications including SAS Certification and Financial Risk Manager (FRM)
Examinations;
• prepare students for a statistical, analytical and managerial position in the financial,
commercial, and government sector.
5
Programme Highlights
(BBAU4: Cohort 2015; BBAU3, BBAU2: Cohort 2016)
The BBA Business Analysis programme is composed of
1.College core and some major core courses (training on business knowledge);
2.Major core courses (training on analytical, problem-solving and software skills);
3.Major elective courses (group A : further training on business analysis; group B:
courses from AC, EF, IS, MGT, MKT and MS departments and CB3800 Business
Practice Internship);
4.Language, Communication and GE courses
5.Minor/elective courses
1. College Core Courses (BBAU4, BBAU3: 27 credit units; BBAU2: 6 credit units)
Course Code Course Title
Normative 4-year Degree (BBAU4)
CB2100
Introduction to Financial Accounting
CB2201
Operations Management
CB2300
Management
CB2400
Micro-Economics
CB2500
Information Management
CB2601
Marketing
CB3410
Financial Management
CB4303
Strategy and Policy
One College Elective (3 credit units)
Advanced Standing I (BBAU3)
CB2100
Introduction to Financial Accounting
CB2201
Operations Management
CB2300
Management
CB2400
Micro-Economics
CB2500
Information Management
CB2601
Marketing
CB3410
Financial Management
CB4303
Strategy and Policy
One College Elective (3 credit units)
Advanced Standing II (BBAU2)
CB4303
Strategy and Policy
One College Elective (3 credit units)
6
Level
Credit
Units Remarks
2
2
2
2
2
2
3
4
3
3
3
3
3
3
3
3
2
2
2
2
2
2
3
4
3
3
3
3
3
3
3
3
4
3
2. Major Core Courses (33 credit units)
Course Code Course Title
CB2011
Solving Business Problems with
Spreadsheet Modeling
Level
B2
CB2101
Introduction to Managerial Accounting
B2
CB2200
Business Statistics
B2
CB2402
Macro-Economics
B2
MS3111
Quantitative Business Analysis with
Visual Basic for Applications
B3
MS3251
MS3252
MS4212
MS4224
MS4226
MS4252
Analytics Using SAS
Regression Analysis
Predictive Analytics & Forecasting
Enterprise Data Mining
Risk Management Models
Big Data Analytics
B3
B3
B4
B4
B4
B4
Credit
Units
Remarks
3
Exclusive
course:
MS3261
Business
Modeling with
Spreadsheets
3
Major core
course required
by CB
3
Major core
course required
by CB
3
Major core
course required
by CB
3
3
3
3
3
3
3
3. Major Elective Courses (12 credit units)
Students are required to take FOUR electives from Groups A and B and at least TWO must be from
Group A.
Group A (Business Analysis electives)
Course Code Course Title
MS3224
MS3403
MS4251
MS4253
MS4254
MS4262
Level
Business Survey Design
Internship for Business Analysis and
Operations Management
Quantitative Analysis for Marketing
Business Analysis Project
Quantitative Analysis for Economics
and Finance
Advanced Analytics using SAS
7
B4
B4
Credit
Units
3
3
B4
B4
B4
3
3
3
B4
3
Remarks
Group B (Other electives)
Course Code
AC3202
CB3800
EF3320
EF3333
EF4313
IS3331
IS3237
MGT3206
MGT3603
MGT4628
MS3106
MS3322
MS4109
MS4232
MS4241
Course Title
Corporate Accounting I
Business Practice Internship +
Security Analysis and Portfolio
Management
Financial Systems, Markets and
Instruments
Corporate Finance I
Data Management
Information Service for
Business Organizations
Organizational Behavior
Consumer Behavior
e-Marketing
Simulation
Quality Management
Project Management
Casualty Insurance
Life Insurance
Level
B3
B3
B3
Credit
Units
3
3
3
B3
3
B4
B3
B3
3
3
3
B3
B3
B4
B3
B3
B4
B4
B4
3
3
3
3
3
3
3
3
Remarks
+ Subject to Programme Leader’s approval
4. Language, Communication and GE Courses
(BBAU4: 30 credit units; BBAU3: 21 credit units; BBAU2: 12 credit units)
English Language Requirement: Students admitted with HKDSE English Level 3 or equivalent
are required to complete the 6-credit course EL0200 English for Academic Purposes (EAP).
Advanced Standing II students are only required to take GE2402 English for Business
Communication.
Chinese Language Requirement: Students scoring below Level 4 in HKDSE Chinese
Language, or scoring below Grade D in HKALE AS-level Chinese Language and Culture are
required to take a 3-credit unit course CHIN1001 University Chinese I. This requirement is not
applicable to Advanced Standing II students.
GE Courses Requirement: Take at least 3 credits from each of the 3 areas: (1) Arts and
Humanities; (2) Study of Societies, Social and Business Organizations; (3) Science and
Technology. Advanced Standing I and II students are not allowed to take GE courses offered
by their own academic unit.
5. Minor/Elective Courses (BBAU4: 18 credit units; BBAU3, BBAU2: exempted)
Students may need to take 18 credits of minor/elective courses to fulfil the minimum credit
requirement for graduation.
8
Major Core and Major Elective Courses
Major Core (11 courses, 33 credit units)
The major courses are designed specifically to
provide professional training in the following areas:
•
Business Knowledge
CB2101 Introduction to Managerial Accounting
CB2402 Macro-Economics
Major Elective (4 courses, 12 credit units)
Students are required to take 4 electives from
Groups A and B and at least 2 must be from Group
A
Group A electives - Business Analysis
•
Risk Management
MS4254 Quantitative Analysis for Economics
and Finance
•
Software Skills
MS4262 Advanced Analytics Using SAS
•
Marketing Analysis
MS3224 Business Survey Design
MS4251 Quantitative Analysis for Marketing
MS4252 Big Data Analytics
•
Project
MS4253 Business Analysis Project
•
Risk Management
MS4226 Risk Management Models
•
•
Software Skills
CB2011 Solving Business Problems
with Spreadsheet Modeling
MS3251 Analytics Using SAS
MS3111 Quantitative Business Analysis with
VBA
Internship
MS3403 Internship for Business Analysis
& Operations Management
•
•
Business Analysis & Decision
CB2200 Business Statistics
MS3252 Regression Analysis
MS4212 Predictive Analytics &
Forecasting
Business Intelligence
MS4224 Enterprise Data Mining
Group B electives - Wide Choice from
AC3202
CB3800
Corporate Accounting I
Business Practice Internship
(subject to approval)
EF3320
Security Analysis and Portfolio
Management
EF3333
Financial Systems, Markets and
Instruments
EF4313
Corporate Finance I
IS3331
Data Management
IS3237
Information Service for Business
Organizations
MGT3206 Organizational Behavior
MKT3603 Consumer Behavior
MKT4628 e-Marketing
MS3106 Simulation
MS3322 Quality Management
MS4109 Project Management
MS4232 Casualty Insurance
MS4241 Life Insurance
9
10
Minimum Credits Required
GE: 4 GE courses + 3 College Electives (21 CU)
GE: 2 ENGL + CCIV (9 CU)
College: 8 College Core + 1 College Elective (27 CU)
Major: 12 Major courses + 3 College required courses (45 CU)
Minor/Electives: 5 courses (15 CU)
Free Elective: 1 course (3 CU)
Min. Total: 40 courses (120 CU)
Max. Allowable: 48 courses (144 CU)
Notes:
(1) English Language Requirement:
Students admitted with HKDSE English Level 3 or equivalent are required to complete the 6-credit course
EL0200 English for Academic Purposes (EAP) prior to taking the 2 GE English courses (GE1401 and
GE2402).
(2) Gateway Education Course Distributional Requirements
Take at least 3 credits from each of the 3 areas:
Area 1: Arts and Humanities
Area 2: Study of Societies, Social and Business Organizations
Area 3: Science and Technology
(3) Chinese Language Requirement
Students scoring below Level 4 in HKDSE Chinese Language, or scoring below Grade D in HKALE AS-level
Chinese Language and Culture are required to take a 3-credit unit course CHIN1001 University Chinese I.
(4) Students who do not choose a minor are required to take Free Electives.
Major Electives:
Students are required to take 4 electives from Groups A and B and at least 2 must be from Group A in the following list:
Group A :
MS3224 Business Survey Design
MS3403 Internship for Business Analysis and
Operations Management
MS4251 Quantitative Analysis for Marketing
MS4253 Business Analysis Project
MS4254 Quantitative Analysis for Economics and
Finance
MS4262 Advanced Analytics Using SAS
Group B :
AC3202 Corporate Accounting I
CB3800 Business Practice Internship +
EF3320 Security Analysis and Portfolio Management
EF3333 Financial Systems, Markets and Instruments
EF4313 Corporate Finance I
IS3331 Data Management
IS3237 Information Service for Business Organizations
MGT3206 Organizational Behavior
MKT3603 Consumer Behavior
MKT4628 e-Marketing
MS3106 Simulation
MS3322 Quality Management
MS4109 Project Management
MS4232 Casualty Insurance
MS4241 Life Insurance
11
12
13
Course Description
Major Core
Courses
CB2011
Solving
Business
Problems
with
Spreadsheet
Modeling
CB2101
Introduction
to Managerial
Accounting
CB2200
Business
Statistics
CB2402
MacroEconomics
MS3111
Quantitative
Business
Analysis with
VBA
Description
Assessment
Pattern
C 60%
E 40%
Pre-requisite
Precursor
Nil
Nil
Provide students with basic
knowledge of management
accounting for a career in
business as well as being a
foundation for advanced
management accounting courses.
Introduce statistical concepts and
techniques, such as descriptive
statistics, probability
distributions, inferential statistics
and simple linear regression,
commonly used in business
management decision making.
C 50%
E 50%
Nil
CB2100
Introduction
to Financial
Accounting
C 50%
E 50%
Nil
Nil
Equip students with the
knowledge of fundamental
macroeconomic principles that
will enable them to analyze and
predict how
the aggregate economy works,
and how government policies
affect important macroeconomic
variables such as national
income, unemployment, inflation
and interest rates.
Introduce how to create business
decision support systems using
Excel VBA programming
language. Students can also use
the knowledge learned from this
course to develop applications in
other areas such as statistical
analysis, or financial modeling.
C 50%
E 50%
CB2400
MicroEconomics
Nil
C 100%
Nil
Nil
Develop students’ ability to
formulate, analyse and solve
business problems using
spreadsheet modeling.
14
Major Core
Courses
MS3251
Analytics
using SAS
MS3252
Regression
Analysis
MS4212
Predictive
Analytics &
Forecasting
MS4224
Enterprise
Data Mining
MS4226 Risk
Management
Models
MS4252
Big Data
Analytics
Description
Develop students’ analytics
technique to access data,
manipulate data and do statistical
reporting using SAS
Introduce multiple and logistic
regression and analysis of
variance techniques and models
commonly used in solving
business problems.
Introduce to the students the
commonly used forecasting
techniques and the use of
statistical packages for
implementing these techniques. It
includes areas such as smoothing
and decomposition methods,
regression and univariate time
series models.
Data mining plays a very
important role in business-sales,
marketing, and customer support.
It is being used to discover
implicit and useful knowledge
from vast datasets. The course
covers concepts fundamental to
understanding and applications of
data mining methods to business
problems.
This course aims to provide
students with basic terminology of
various risks in complex business
situations; discuss widely used
techniques to measure and
manage risks in financial
industries and equip students
with modelling and computing
skills to solve business problems
in the area of risk management.
Develop students’ hands-on
experience of construction of
data management systems and
decision support systems using
professional software packages.
15
Assessment
Pattern
C 50%
E 50%
Pre-requisite
Precursor
Nil
C 50%
E 50%
Nil
CB2200
Business
Statistics or
equivalent
CB2200
Business
Statistics or
equivalent
C 50%
E 50%
MS3252
Regression
Analysis
MS3251
Analytics
using SAS
C 100%
MS3252
Regression
Analysis
CB2200
Business
Statistics
MS3251
Analytics
using SAS
C 40%
E 60%
Nil
Nil
C 100%
Nil
MS3251
Analytics
using SAS
Major Elective
Courses
MS3224
Business
Survey Design
MS3403
Internship for
Business
Analysis and
Operations
Management
MS4251
Quantitative
Analysis for
Marketing
Description
Assessment
Pattern
Provide students with
C 50%
knowledge about the nature of E 50%
survey research and the
fundamental methodology of
conducting survey research in
the business field; Provide
students with statistical
techniques to help with
research design, sample
design, questionnaire design,
fieldwork procedure, data
analysis and the presentation
of results; Develop students’
computing and analytical
skills to solve real-world
problems.
Enrich students’ learning
C 100%
experience through
interactions with professionals
in the business world through
internship tasks; Enable
students to gain valuable work
experience for acquiring indepth and practical
understanding of business
analysis and operation
management in business
organization between 6 to 12
weeks during the summer
semester; Enhance student
competitiveness in the job
market and discovery
experience before their
graduation.
Develop students’ ability to C 50%
apply the statistical techniques E 50%
introduced in the course to
solve real world marketing
problems. It includes areas
such as logit models, principal
components
analysis,
exploratory factor analysis,
cluster
analysis
and
multidimensional scaling.
16
Pre-requisite
Precursor
Nil
CB2200
Business
Statistics or
equivalent
Nil
Nil
MS3252
Regression
Analysis
MS3251
Analytics
using SAS
Major Elective
Courses
MS4253
Business
Analysis
Project
Description
Develop students’ skills in
translating a real problem into
a problem statement from
unstructured initial ideas,
identifying the key issues,
defining the scope of the
problem and breaking down
the work into a
set of tasks to be
accomplished systematically;
Develop students’ problemsolving skills in the business
environment by providing
them with techniques to break
down the work into a set of
tasks to be accomplished
systematically; Develop
students’ analytic ability to
integrate and apply the
knowledge and quantitative
skills, in particular business
analytics, statistics and
business intelligence
techniques, gained in the
programme to solve project
problems; Develop students’
ability in planning,
conducting, managing and
controlling their own projects;
Provide students with the
opportunity to develop their
skills in presenting the
findings of their own project
and explaining the
implications of the results in a
verbal presentation and
written report.
Assessment
Pattern
C 100%
Pre-requisite
Precursor
One of the
following
courses:
Nil
MS3252
Regression
Analysis
CB2011
Solving
Business
Problems with
Spreadsheet
Modeling
MS4212
Predictive
Analytics &
Forecasting
MS4224
Enterprise Data
Mining
MS4226
Risk
Management
Models
17
Major Elective
Courses
MS4254
Quantitative
Analysis for
Economics and
Finance
MS4262
Advanced
Analytics using
SAS
Description
Assessment Pre-requisite
Precursor
Pattern
C 30%
MS3252
Nil
E 70%
Regression Analysis
Introduce the statistical
techniques needed for
economic and financial
analysis. Topics covered
include transfer function
models, intervention
analysis, spurious
regression, cointegration
ARCH and GARCH
models, and option pricing
models.
Provide students with
C 50%
concepts and knowledge of E 50%
advanced analytics using
SAS for data preparation
and performing
sophisticated data analysis
so as to deliver information
across the organization and
solve problem in complex
business situations;
Enhance students’ analytics
to perform effectively and
efficiently data analytic
technique in different
industries such as
communications, financial
services, the government,
insurance, hotels,
manufacturing, retail, and
banking for analytic
purposes, such as to achieve
a greater return on customer
relations, to measure and
manage risk; Develop
students’ skills in
improving the productivity,
automating and
customizing data analysis
and generating advanced
statistical report to different
business industries through
hands-on experience.
18
AND
MS4212
Predictive Analytics
& Forecasting
MS3251
Analytics using
SAS
Nil
Major Elective
Courses
MS3106
Simulation
MS3222
Quality
Management
MS4109
Project
Management
MS4232
Casualty
Insurance
MS4241
Life Insurance
Description
Enable students to construct
simulation experiments to
analyze business problems. It
covers topics such as generating
random variates, input data
analysis, building and validating
simulation models, output data
analysis, and analysis for the
simulation experiment.
Provide a comprehensive
understanding of quality
management for service and
manufacturing industry and
expose students to the key trends
and quality issues of the service
and manufacturing industry.
Introduce the students the basic
concepts and systematic
approaches for effective project
management. It covers topics
such as project planning,
scheduling, cost control and
estimation, trade-off and risk
analysis, concurrent engineering
and total quality management
techniques.
Introduce the nature, scope and
terminology of casualty
insurance. This course covers
casualty insurance management,
basic ratemaking and loss
reserving techniques in
insurance work, risk premium
and experience rating.
Introduce the nature, scope and
terminology of life insurance. It
covers life insurance
management, insurance
regulation, life insurance and
annuities, health insurance etc.
19
Assessment
Pattern
C 40%
E 60%
Pre-requisite
Precursor
CB2200
Business
Statistics
Nil
OR
MS3252
Regression
Analysis
C 50%
E 50%
Nil
Nil
C 40%
E 60%
Nil
CB2200
Business
Statistics
C 50%
E 50%
Nil
CB2200
Business
Statistics
C 50%
E 50%
Nil
CB2200
Business
Statistics
Three Focus Areas in BANL Major
Business Intelligence (Big Data Analysis)
Business Intelligence is the intelligence method used by business to handle large amounts
of structured and unstructured data from traditional and social media channels into smart
insights for business strategies and decisions.
Business Intelligence is very broad. Our courses on Business Intelligence emphasize on
using popular computer software to manage and analyse data “thoroughly” and
“deeply”to create more accurate business reporting and make better, fact-based decisions.
Our courses can enable students to obtain internationally recognized professional
qualifications such as SAS Foundation Certification and SAS Advanced Analytics
Certification.
Risk Management
Risk Management is to identify, quantify and manage the risks that affect the profitability
and existence of a company. Our courses on Risk Management, Statistics and Analytical
Methods cover more than 50% of Financial Risk Manager (FRM) Examination.
(http://www.garp.org/#!/frm/program-exams)
Marketing Analysis
Analysis in Marketing collects, analyses and provides information for making decisions on
marketing strategies and plans.
“Market Research Analyst” is one of the Best Business Jobs ranked by US News
(http://money.usnews.com/careers/best-jobs/market-research-analyst)
Know more about BANL :
For more details of these focus areas in BANL major, please watch the videos in
http://www.cb.cityu.edu.hk/ms/bbabanl/programme/.
20
Career Prospects for Students
Possessing strong analytical and technical skills, software skills, business knowledge and effective
communication, graduates are able to develop statistical, analyst and managerial positions in a variety
of business, industry and government related organizations after graduation. Some examples of career
choices are shown below:
Accounting
Accountant
Associate Auditor
Manager
Retail
Customer and Product Segmentation
Pricing Analyst
Banking and Finance
Acquisition Risk Manager
Bank Executive
Business Performance Analyst
Business Planning Analyst
Credit Risk Analyst
Database Marketing Executive
Fraud Management
Operations Research Manager
Supply Chain and Logistics
Business Intelligence Consultant
Revenue Management
Government
Government Statistician
Government Statistical Officer
Research Manager
Information and Communication
Business Intelligence Consultant
Pricing Analyst
Revenue Manager
Entertainment
Consumer Data Analyst
Forecast Analyst
Marketing and Market Research
Consultant
Market Analyst
Market Research Analyst
21
Where Our Graduates Work …
A sample of corporations that have employed our graduates include:
Accounting
Deloitte
Ernst and Young
KPMG
Banks
Bank of China
Bank of Communications
Bank of East Asia
Chong Hing Bank
Citibank
Citic Ka Wah Bank
DBS Bank
Dah Sing Bank
Hang Seng Bank
HSBC
PrimeCredit (Asia) Ltd
Standard Chartered Bank
Wing Lung Bank
Consultant Companies
SAS Institute Limited
Solution Consultant Limited
Education Institutions
Chinese University of Hong Kong
City University of Hong Kong
Hong Kong University of Science and
Technology
Hong Kong School of Motoring
The University of Hong Kong
Government Departments
Census and Statistics Department
Education Bureau
Fire Services Department (Ambulance
Services)
Hong Kong Tourism Board
Hong Kong Trade Development Council
Government Related Organizations
Hong Kong Housing Authority
Hong Kong Monetary Authority
ICAC
Nam Long Hospital
Prince of Wales Hospital
Insurance Companies
AIA International Assurance Company
Limited
Manulife Hong Kong
Principal Insurance Corporation Limited
Prudential Assurance Company Limited
Market Research Companies
ACORN Marketing & Research Consultants
Asia Market Intelligence (AMI)
Bloomberg
Nielsen Corporation
Oracle Market Research Corporation
Synovate Limited
TAYLOR Nelson Sofres
Media Companies
Hong Kong Broadcast
Oriental Daily News
Television Broadcasts Limited (TVB)
Real Estate Agencies
Jones Lang LaSalle (Hong Kong)
Midland Realty Group
Wharf (Holdings) Limited
Retail
Burberry
Fuji Xerox
Johnson & Johnson
Lane Crawford
Wing On Department Store (HK)
Transportation
Cathay Pacific Airways Limited
HK Airport Service Limited
HK Dragon Airlines Limited
MTR
Others
DHL Logistics (HK) Ltd
Disneyland Theme Park
Hong Kong Electric Group
Jardine OneSolution
PCCW
Wilson Parking
22
Preparation for Professional Qualifications
The BBA Business Analysis programme can enable students to obtain internationally
recognized professional qualifications including SAS Foundation Certification, SAS
Advanced Analytics Certification and The Financial Risk Manager (FRM).
For SAS Foundation Certification, there is two-level certification: SAS Certified Base
Programmer for SAS Credential and The SAS Certified Advanced Programmer for SAS
credential. These two credentials are for those to analyze using SAS in different echelon.
To obtain these certifications, analytical techniques are required. Students are prepared
by studying the courses: MS3251 Analytics Using SAS and MS4262 Advanced Analytics
using SAS.
For SAS Advanced Analytics, the SAS Certified Predictive Modeler using SAS Enterprise
Miner Credential is available for students who perform predictive analytics. To prepare
for the certification, students should study fundamental analytic subjects: CB2200
Business Statistics and MS3252 Regression Analysis and advanced analytic subjects:
MS4212 Predictive Analytics & Forecasting, MS4251 Quantitative Analysis for Marketing
and MS4224 Enterprise Data Mining.
To prepare student for The Financial Risk Manager (FRM®) designation which is the
globally recognized standard for those who manage risk, several subjects are provided
including CB2200 Business Statistics, MS3252 Regression Analysis, MS4212 Predictive
Analysis & Forecasting, MS4254 Quantitative Analysis for Economics and Finance, and
MS4226 Risk Management Models.
23
SAS Exam
Who should take the exam?
For those who pursue analysts positions in banks and big companies
Exam Format:
- Around 64 multiple-choice questions
- Must achieve score of 70% (Base SAS, EM) and 65% (Advanced SAS) correct to pass
- Around 2 hours to complete exam for Base SAS and Advanced SAS and 3 hours for
Predictive Modeler exam
- Internet-based and closed book
Exam fee:
At least HK$1,404 per head per time (full-time student/staff can enjoy half price)
Exam time:
Twice a year in semester break
Exam Results:
Exam scores are released immediately after the exam and formal certificates will be
available around two weeks later after the exam
Benefits of SAS Certification:
- Increase your career opportunities and marketability
- Enhance your credibility as a technical professional
- Assess your knowledge of SAS software
- Allow you to earn industry validation for your knowledge
- http://support.sas.com/certify/benefits/indiv.html
24
Financial Risk Manager (FRM) Examination
Who should take the exam?
For those who pursue risk management profession
Exam Format:
2 exams – Part 1 and Part 2
Part 1 exam (4 hours) – 100 multiple choice questions
Part 2 exam (4 hours) – 80 multiple choice questions
Exam fee:
Early registration – Part 1: US$650 (registration fee US$300+exam fee US$350); Part 2: exam fee
US$350
Standard registration – Part 1: US$775 (registration fee US$300+exam fee US$475); Part 2: exam
fee US$475
Late registration – Part 1: US$950 (registration fee US$300+exam fee US$650); Part 2: exam fee
US$650
Exam time:
Twice a year in May and November
Calculator permitted to be used at the exam:
Only GARP-approved calculators
Exam Results:
Exam results are pass/fail and are released via email approximately six weeks after the Exam is
administered. Candidates are provided with quartile results that enable them to see how they scored
on specific areas relative to other candidates.
Exam Topics covered by MS courses:
Topics Covered on the Part
Weight
1 FRM Exam
Foundations of Risk Management
20%
Courses Covered
MS4226, CB3410
Quantitative Analysis
20%
CB2200, CB2201, MS4216,
MS4251, MS3252,
MS4212, CB3410, EF3320,
EF4320, EF4321
Financial Markets and Products
30%
Valuation and Risk Modeling
30%
MS4221, MS4226, CB3410,
EF3320, EF4320, EF4321
MS4254, MS4226, CB3410,
EF3320, EF4320, EF4321
(http://www.garp.org/#!/frm/program-exams)
25
Benefits of FRM Certification
- FRM is the certification recognized among financial risk professionals worldwide. There
are 26,000 certified FRMs practicing worldwide. The FRM professional certification
differentiates you from your peers
- Studying the broad concepts underlying risk management will give you a comprehensive
view and appreciation for the role risk management plays in an enterprise
- You will be more desirable to executive recruiters and hiring managers since they are now
seeking FRM holders for senior risk management jobs more than ever before
- You will be recognized across the globe as a professional in financial risk management
Certificate Requirements:
- A passing score on the FRM Examination.
- Active membership in the Global Association of Risk Professionals.
- A minimum of two years’ experience in the area of financial risk management or another
related field including, but not limited to, trading, portfolio management, academic or
industry research, economics, auditing, risk consulting, and/or risk technology.
* For those who do not have sufficient work experience may submit your 2 years of work experience
within 5 years upon passing the FRM examination.
26
Assessment and Awards
Academic Standing
The grade points for the course grades are given as follows:
Letter Grade
A+
A
A-
B+
B
B-
C+
C
C-
D
F
Grade Point
4.3
4.0
3.7
3.3
3.0
2.7
2.3
2.0
1.7
1.0
0.0
Based on the grade point awarded and the credit units earned for a course, Grade Point
Average (GPA) is calculated and used as an indicator of a student’s academic performance. To
have good academic standing, your GPA must attain a minimum level of 1.7. Otherwise you
will be given either of the following: (1) academic warning, (2) probation, (3) academic
suspension. Students with very bad academic performance will be terminated. For more details
about academic standing, please visit our CityU web page at http://www.cityu.edu.hk/arro/
Classification of Awards
The University grants bachelor’s degree awards with the following classifications. The following
CGPA criteria will be adopted as guidelines for classification of awards:
Awards
CGPA
First Class Honours
3.5 or above
Upper Second Class Honours
3.0 – 3.49
Lower Second Class Honours
2.5 – 2.99
Third Class Honours
Pass
2.0 – 2.49
1.7 – 1.99
http://www6.cityu.edu.hk/arro/content.asp?cid=72
Dean’s List
At the end of Semester A and Semester B, students’ GPAs are calculated. Where a student over that
period has (1) earned 12 credit units or more, (2) achieved a GPA of 3.7 or above and (3) not failed
any course, the student is placed on the Dean’s List.
27
Frequently Asked Questions
Where can I find more information on Business Analysis (BANL) major?
Department website: www.cb.cityu.edu.hk/ms/bbabanl
Facebook : https://www.facebook.com/cityuBANL/
Whom can I contact for information on Business Analysis
(BANL) major?
Dr Yeung Miu Han Iris
Major Leader
Tel: +852 3442 8566
Email: [email protected]
Room: AC3-7239
Dr Yuen Hak Keung
Major Co-Leader
Tel: +852 3442 8579
Email: [email protected]
Room: AC3-7272
Dr Tam Mei Ling Susanna
Major Co-Leader
Tel: +852 3442 7483
Email: [email protected]
Room: AC3-7246
Mr. Tam King Hong Patterson
Major Deputy Leader
Tel:+852 3442 8688
Email:[email protected]
Room: AC3-7232
Is the Mathematics requirement for BANL major very high?
• All knowledge may be divided into 2 categories: (1) theoretical knowledge and (2)
applied knowledge.
• All courses in BANL major emphasize on the applications of the quantitative
techniques to analyse business data and solve business problems. Students need to
learn statistical concepts and computational principles, not mathematical proof and
derivation of the theories and formulae.
• Computing software popularly used in the global business world is used to do the
calculation, not Mathematics.
• Students will study “Business Statistics” course (an introduction course to Statistics)
first before advanced techniques.
• So, students do not need to have HKDSE M1 or M2 Mathematics background in
taking this major.
28
Frequently Asked Questions
Is the computing software taught in BANL major difficult to learn?
• This major teaches particularly how to use SAS, SPSS and Excel VBA computing
software to manage and analyse large volumes of business data.
• These software are popularly used in business firms and government sector. In
particular, SAS is used in banks and big firms.
• If these commercial software are not friendly, easy and powerful, no one will use
them.
• Because ease of learning SAS and learning curve of SAS may not be the same for
everyone, SI (supplementary instruction) class on SAS is arranged every summer for
interested students to learn before the regular class in September.
What is special about BANL major?
• This major combines all quantitative techniques (statistics & analytical courses,
business intelligence / big data analysis, risk management, marketing analysis and
software skills) and qualitative techniques (business knowledge and
communication skills) highly sought after in business in one major.
• All the quantitative techniques are related to each other and build on each other
and provide a comprehensive training of business analysis, enabling students to
work for a statistical, analytical and managerial position in the government and
business sectors.
• SAS software and Data Mining have been taught in BANL/MST major for more
than 16 years. Risk Management courses are taught by lecturers with strong
professional and research qualification.
• Many courses include projects and cases to develop students’ competency in
applying business analysis techniques to solve real world problems.
• There is a wide choice of major electives from other CB departments and CB3800
Business Practice Internship.
• Bank internship is especially arranged for BANL major. There are many MST and
BANL alumni working in banks as credit risk analysts and business analysts.
What professional qualifications can students obtain?
• The BANL program can enable students to obtain internationally recognized
professional qualifications, including
- SAS Foundation Certification
- SAS Advanced Analytics Certification
- The Financial Risk Manager
What scholarships and awards can students obtain?
Please refer to department website
(http://www.cb.cityu.edu.hk/ms/whyUs/scholarships.html) for details.
29
Frequently Asked Questions
Is it difficult for BANL students to join the exchange program?
• There are 3 levels of the Student Exchange program (1) Institutional,
(2) College and (3) Departmental levels. For department level, the Department has its
own exchange partners, including universities in the United States, Canada, the
United Kingdom, Europe, Asia, and the Mainland.
• Students joining the exchange program level can transfer the college core, college
electives, major core, major electives, GE, minor and elective courses.
• There is almost no major core course that needs to be taken in semester A of year 4
for all students.
• If students wish to join the exchange program in semester B of year 4 and find
difficulty or do not wish to transfer the course on Data Mining, they may take this
course while on exchange with the special arrangement of the lecturer by means of
the internet facilities.
• Since some students may not opt for overseas exchange due to family and other
reasons, our department also organizes study tours from time to time to provide
students with a more global perspective.
Are there any internship opportunities?
There are two types of internship.
• College level -- CB3800 Business Practice Internship
Designed to provide students with real life working experience in local and
overseas contexts for a period of time.
For BANL students, CB3800 can be counted as a major elective course (subject to
Program Leader’s approval)
• Department level -- MS3403 Internship for Business Analysis and
Operations Management
Bank internship related to analytics jobs is especially arranged for BANL students to
apply.
There are many other internship opportunities open for all students in the MS
Department
What are the career prospects of BANL?
1. The BANL major aims to train professional analyst and managers.
2. Past graduates work in: banking and financial sector, Government departments, retail
and services industry, accounting firms, public utilities corporations
3. Past graduates’ job titles: government statistician, credit risk analyst / officer, credit MIS
analyst, data analyst, bank executive, assistant operations research manager,
consultant, administrator, market research executive, business development executive,
vice president etc
30
31
32
Important Dates for
Academic Year 2016/17
Semester A 2016/17
Date
Event
26 July 2016
Release of Master Class Schedule for the academic year
Release of students' Personal Class Schedule for Semester A in AIMS
1 August 2016
First day for paper add/drop of non web-enabled courses
15 August 2016
First day for online add/drop of web-enabled courses
(Please refer to your web registration time tickets)
27 August 2016
Last day to apply for credit transfer/course exemption
29 August 2016
Classes begin
5 September 2016
Last day for course add/drop
6 September –
17 December 2016
Application for graduation in Semester A
(NOT applicable to Associate Degree students)
10 September 2016
Last day to apply for:
•
•
reduced study load / exceeding maximum study load
withdrawal of studies, leave of absence & late drop of courses with no tuition
fee charged (The acceptance fee paid at the time of admission will not be
refunded under any circumstances.)
11 September –
8 October 2016
50% tuition fee charged for withdrawal of studies, leave of absence & late drop of
courses
12 September 2016
Due date for Semester A's tuition fees
(ONLY applicable to returning students)
9 October 2016 onwards
100% tuition fee charged for withdrawal of studies, leave of absence & late drop of
courses
11 October 2016
Due date for payment of balance of Semester A's tuition fees
33
Important Dates for
Academic Year 2016/17
1 – 21 November 2016
Applications for Bachelor's Degree students:
•
•
•
add/drop of minors
change of home major
declaring a second major
Application for Associate Degree students in the College of Science and
Engineering:
•
programme transfer
2 November 2016
Release of Semester A's examination schedule in AIMS
26 November 2016
Last day of teaching
5 – 17 December 2016
Examination period
From 20 December 2016
Release of Semester A's course grades in AIMS
34
Important Dates for
Academic Year 2016/17
Semester B 2016/17
Date
Event
8 November 2016
Release of students' Personal Class Schedule for Semester B in AIMS
12 December 2016*
First day for paper add/drop of non web-enabled courses
22 December 2016*
First day for online add/drop of web-enabled courses
(Please refer to your web registration time tickets)
9 January 2017
Classes begin
16 January 2017
Last day for course add/drop
17 January –
16 May 2017
Application for graduation in Semester B
(NOT applicable to Associate Degree students)
21 January 2017
Last day to apply for:
•
•
reduced study load / exceeding maximum study load
withdrawal of studies, leave of absence & late drop of courses with no tuition
fee charged
22 January – 25 February
2017
50% tuition fee charged for withdrawal of studies, leave of absence & late drop of
courses
23 January 2017
Due date for Semester B's tuition fees
26 February 2017
onwards
100% tuition fee charged for withdrawal of studies, leave of absence & late drop of
courses
28 February 2017
Due date for payment of balance of Semester B's tuition fees
22 March 2017
Release of Semester B's examination schedule in AIMS
35
Important Dates for
Academic Year 2016/17
3 – 24 April 2017*
Applications for Bachelor's Degree students:
•
•
•
add/drop of minors
change of home major
declaring a second major
For 4-year Bachelor's Degree students admitted in 2016/17 with an undeclared
major:
•
declaring a home major
Application for Associate Degree students in the College of Science and
Engineering:
•
programme transfer
22 April 2017
Last day of teaching
2 – 16 May 2017
Examination period
From 26 May 2017
Release of Semester B's course grades in AIMS
*Tentative
36
Important Dates for
Academic Year 2016/17
Summer Term 2017
Date
Event
5 April 2017
Release of students' Personal Class Schedule for Summer Term in AIMS
15 May 2017*
First day for paper add/drop of non web-enabled courses
22 May 2017*
First day for online add/drop of web-enabled courses
(Please refer to your web registration time tickets)
5 June 2017
Classes begin
12 June 2017
Last day for course add/drop
13 June – 5 August 2017
Application for graduation in Summer Term
(NOT applicable to Associate Degree students)
17 June 2017
Last day to apply for:
•
•
exceeding maximum study load
withdrawal of studies, leave of absence & late drop of courses with no tuition
fee charged (Applicable to non- government funded programmes)
18 – 24 June 2017
50% tuition fee charged for withdrawal of studies, leave of absence & late drop of
courses (Applicable to non-government funded programmes)
25 June 2017 onwards
100% tuition fee charged for withdrawal of studies, leave of absence and late drop
of courses (Applicable to non- government funded programmes)
4 July 2017
Due date for payment of Summer Term's tuition fees
(Applicable to non-government funded programmes)
5 July 2017
Release of Summer Term's examination schedule in AIMS
37
Important Dates for
Academic Year 2016/17
13 – 18 July 2017*
Switching of majors
(ONLY applicable to year one students admitted to 4-year Bachelor's Degree in
2016/17)
22 July 2017
Last day of teaching
31 July – 5 August 2017
Examination period
From 15 August 2017
Release of Summer Term's course grades in AIMS
*Tentative
38
Notes
39
Notes
40
College of Business
商學院
Department of Management Sciences
管理科學系
Student Handbook
2013-2014
Bachelor of
Business Administration in Business Analysis
produced by Design and Production Services UP CityU
工商管理學士(商業分析)
Student Handbook
2016-2017