Bachelor of Business Intelligence

Programme details and curriculum information

The use of research and analytics to drive business decisions and automation of tasks represents the future for business leaders. The decision-making practices across different institutions have gone through a revolutionary change with the increased accessibility to data and the use of computer systems. Increasingly, businesses, nonprofits, and other organisations are interested in the better use of available information in operations, tactical, and strategic decision-making. Business Intelligence employs the combination of rapidly growing available data, both in organisations’ data stores and through third parties, and the equally rapid development in software interoperability, data exchange mechanisms, and data mining and visualisation techniques. This combination allows organisations to improve their ability to extract and employ the value from this information to meet stakeholders’ needs and improve their efficiency. The survival and growth of modern organisations depend on managing processes and capabilities to effectively use a growing set of highly varied data from different sources to assist organisations’ strategic and operational goals.

The programme seeks to not only prepare competent analysts with a strong grounding in economics, business and management, and analytical tools (statistical, mathematical, and information technology) as its main focus but also groom business leaders in the use of sophisticated tools and techniques for decision-making. With sound knowledge in economics, management, business operation, computer programming, and appropriate tools and technologies, the proposed programme prepares learners with skills to use different methods and techniques of descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, financial engineering, research, artificial intelligence, machine learning and automation. Therefore, the programme rests upon the premise of the skills required to approach and resolve the contemporary business issues faced by organisations as well as create self-employment opportunities for the graduates as independent analysts, investors and researchers both in the national and international markets.

Semester 1
Module Code Module Title Credits Category
BMS101 Business Mathematics 12 core
ACT101 Principles of Financial Accounting 12 core
BIA101 Programming Methodology 12 core
HCM206 Organizational Behavior 12 core
Semester 2
Module Code Module Title Credits Category
MGT101 Business Environment 12 core
DZG101 Dzongkha for Business Communication 12 core
BMS102 Business Statistics 12 core
RES101 Research Methods in Business 12 core
BIA102 Designing & Developing Databases 12 core

Semester 1
Module Code Module Title Credits Category
EDP101 Entrepreneurship 12 core
BIA203 Data Modelling and Visualisation 12 core
MLA201 Data Mining and Cleaning 12 core
ACT205 Financial Statement Analysis 12 core
BEA201 Blockchain and AI in Finance 12 core
Semester 2
Module Code Module Title Credits Category
ECN103 Business Economics 12 core
BMS203 Mathematics and Techniques for Machine Learning 12 core
FIN202 Financial Markets and Institutions 12 core
BMS204 Econometrics 12 core
BMS206 Mathematics of Finance 12 core

Semester 1
Module Code Module Title Credits Category
BEA302 Corporate Finance and Strategy 12 core
BEA303 Financial Modeling 12 core
BEA304 Big Data Methods, Models and Investments 12 core
BEA305 Foundation of Risk Management 12 core
BEA306 Derivatives Markets 12 core
Semester 2
Module Code Module Title Credits Category
PIP301 Professional Internship 60 core

Semester 1
Module Code Module Title Credits Category
RES402 Research Project 12 core
BEA407 Trading Simulation and Strategies 12 core
BEA408 Survival Models and Analysis 12 core
BIA405 Predictive Analytics in Finance and Business 12 core
BEA409 Advanced ML Methods and Techniques in FE 12 core
Semester 2
Module Code Module Title Credits Category
RES403 Industrial Project 36 Core
BEA410 Ethics in AI/ML/Automation 12 Core
BEA411 Robotics and Autonomous systems 12 Core
All applications for the undergraduate business programme at GCBS shall be accepted after fulfilling the entry requirements of the programme. The shortlisting of applicants for the GCBS entrance test (GET) will be on merit ranked based on their academic achievements in class XII ability rating points. Application is open to students of all streams (Commerce, Arts & Sciences) who fulfil the eligibility and Ability Rating criteria. The details are set out in the following table.
Eligibility Criteria
Ability Rating Points & Selection Criteria
Class XII passed students with a minimum of 50% each in Mathematics/Business Mathematics and pass in English and Dzongkha Applicants will be merit ranked based on the following subject ability rating points: Mathematics/B. Maths – 5 Accounting/Economics/Physics/ Chemistry/Biology – 4 English – 3 Dzongkha – 2 Any one other subject – 1 Shortlisted applicants are required to sit for the GCBS Entrance Test (GET). The test will comprise of a personal statement, personality trait and aptitude. Selection will be based on the following weightage: 60% of Ability Rating Points as specified above, 40% GET (Personal Statement, Personality Trait & Aptitude Test)
  • Duration: 4 Years
  • Mode of Delivery: On-Campus
  • Total Intake: 60
  • Award: Degree