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The Hong Kong University of Science and Technology

JS5814

BSc in Risk Management and Business Intelligence 理學士(風險管理及商業智能學)

RMBI

Short Description

Risk management and business intelligence form a vital part of a company's strategic planning and decision-making in the globalized era. Fast-paced developments in asset management, financial technologies, insurance practice, marketing, healthcare, and other challenges all advocate the essential need for firms to assess and mitigate risk effectively with the analysis and management of the ever-growing volume of business data. The BSc in Risk Management and Business Intelligence (RMBI) integrates both risk management study and business intelligence study and address their market needs in one single undergraduate program.

Combining the world-class expertise of HKUST School of Business and Management, School of Engineering, and School of Science, the cutting-edge RMBI program incorporates a curriculum that caters to market needs with an emphasis on quantitative techniques and business knowledge, encompassing: 

  • Understanding of risks in financial institutions and other firms, including market risks, credit risks, operational risks, and business risks 
  • Mathematical models and methods for assessing and minimizing risks 
  • Data/text mining methods and advanced technologies to analyze and manage the increasingly large volume of business data available for decision-making

Required Courses Offered in the RMBI Curriculum 

Integration of Risk Management and Business Intelligence

  • Introduction to Risk Management and Business Intelligence 
  • Risk Management and Business Intelligence Capstone Project I
  • Risk Management and Business Intelligence Capstone Project II
  • Academic and Professional Development in Risk Management and Business Intelligence

Financial Investment, Accounting and Business

  • Macroeconomics
  • Microeconomics
  • Principles of Accounting I
  • Financial Management
  • Business Case Analyses I/II 
  • Operations Management
  • Business Modeling and Optimization
  • Business Ethics

Risk Assessment and Modeling Methods

  • Calculus/Accelerated Calculus/Honors Calculus 
  • Introduction to Probability Models
  • Introduction to Multivariable Calculus
  • Matrix Algebra and Applications
  • Linear Algebra
  • Applied Statistics
  • Quantitative Methods for Risk Management

Business Intelligence Tools and Technologies

  • Introduction to Computer Science
  • Introduction to Computing Java/Excel VBA 
  • Introduction to Information Systems
  • Data Mining 
  • Data Mining for Business Analytics
  • Advanced Data Mining for Risk Management and Business Intelligence
  • Cloud Computing and Big Data Systems
  • Big Data Technologies

Financial Technology Option

  • FinTech and Cryptoventures
  • Engineering Foundations of FinTech

A wide range of elective courses on financial technology, risk management, and business intelligence will be offered.  Please refer to the program website for the detailed list of courses offered for RMBI students.

Capstone Projects
Through in-depth study of business cases from corporate sponsors, students learn to apply different areas of knowledge gained in their studies to real-world situations, cultivate creative and critical thinking, and develop project management skills. The Capstone projects also help students establish future business links. Some past/current corporate sponsors include the AIA Group, Bloomberg L.P., Société Générale, Webank, Welab, Wing Lung Bank, Hospital Authority, and Hong Kong Jockey Club.

Enrichment Programs 
RMBI students enjoy the opportunities to join a variety of enrichment activities including overseas exchange, mentorship, internship, editing of RMBI newsletters, RMBI symposium, seminars, and various professional training to enhance their learning through practice, enrich their problem-solving and communication skills, and excel in their career and personal development.  

Career Prospect
RMBI students are well educated for a wide range of positions and industries including analysts and consultants for regional and global banks, asset management, accounting and audit firms, management consultancies and IT advisory, etc.

Remarks:

Students may directly apply for JS5814 BSc RMBI program in JUPAS if they have a special interest in risk management and business intelligence.  For students who would like to take time to explore their academic interest, they may apply to enter School of Business and Management, School of Engineering or School of Science first and then join the RMBI program via the major selection exercise after completing the first year of study.

Selected Band A applicants will be invited to program-specific interviews or engagement activities in May-June 2020.  Interview is compulsory for admission.

Requirements

  • Programme Entrance Requirements
  • General Entrance Requirements
Core Subjects Minimum Level
CHINESE LANGUAGE 3
ENGLISH LANGUAGE 4
LIBERAL STUDIES 2
MATHEMATICS COMPULSORY PART 3
Elective Subject(s) Minimum Level
ANY 2 SUBJECTSNote1 3
Or
MATHEMATICS EXTENDED MODULE 1 OR 2 3
ANY 1 SUBJECTNote1 3
Note 1: The above subjects refer to Category A subjects.

Remarks:
(1) Interview is compulsory for admission.
(2) For more details about admission score calculation, please refer to: https://join.ust.hk/jupas-score/.
Core Subjects Minimum Level
CHINESE LANGUAGE 3
ENGLISH LANGUAGE 3
LIBERAL STUDIES 2
MATHEMATICS COMPULSORY PART 2
Elective Subject(s) Minimum Level
ANY 2 SUBJECTS 3
Or
MATHEMATICS EXTENDED MODULE 1 OR 2 3
ANY 1 SUBJECT 3

Remarks:

  • The above subjects refer to Category A subjects.

Calculation of scores for applicants with more than 1 sitting in HKDSE Examination

Once the minimum entrance requirements have been met, the best results achieved in all sittings will be used for calculating admissions scores.

First Year Tuition Fee

HK$ 42,100

Contacts

Ms Mayumi Lau

Email: joinrmbi@ust.hk

Tel: 3469 2399

Statistics

Application Statistics (after Modification of Programme Choices)

Year Band A Band B Band C Band D Band E Total
2019 99 60 111 179 176 625
2018 67 54 132 191 225 669
2017 85 58 120 210 228 701
2016 59 49 111 190 206 615

Offer Statistics (as at the Announcement of the Main Round Offer Results)

Year Band A Band B Band C Band D Band E Total
2019 18 0 0 0 0 18
2018 22 0 0 0 0 22
2017 24 0 0 0 0 24
2016 19 0 0 0 0 19
Footnote(s)

For details about admission activities, please click here.