Business intelligence and AI

Business intelligence and AI

Bachelor of Business Studies (BBS) — Fourth Year

Subject: Technology & Information Management (MGT 259)

Unit 7: Foundations of Business Intelligence

Academic Year: 2083/84

Topic Objectives

After studying this topic, students should be able to:

• Explain the scope and key elements of business intelligence and ai.
• Apply the relevant concepts to a defined organizational or venture situation using evidence and stated assumptions.

Curriculum Scope

• Business intelligence: Concept and importance
• Dimensions of artificial intelligence
• Benefits of artificial intelligence in business, Big data analytics

Detailed Microsyllabus

1. Business intelligence

   1. Explain analysis that supports business understanding and decisions.
   2. Identify data preparation, reporting and analytical activities.
   3. Assess relevance and information quality.

2. Artificial intelligence

   1. Introduce major dimensions and applications at the course level.
   2. Explain potential benefits and appropriate use cases.
   3. Discuss uncertainty, bias and human oversight.

3. Big data analytics

   1. Explain scale, variety and analytical opportunities.
   2. Distinguish patterns and predictions from causal proof.
   3. Evaluate privacy, quality and interpretation constraints.

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Curriculum reference: Tribhuvan University, Faculty of Management, revised four-year BBS curriculum, PDF pages 126–128.

Source note: The curriculum scope above is retained from the existing TU syllabus breakdown. The numbered study subtopics are editorial elaborations for teaching and study, rather than a separately issued TU syllabus. Unit or component allocations apply at their stated level; no separate topic hours or marks are assigned here. Examples involving current laws, rates, institutional products or Nepalese status must identify the relevant period and official materials; no changing numerical or legal requirements are invented here.