Accelerate your career with a comprehensive 6-month online Ethical issues in Business intelligence Program.
Business Intelligence (BI) programs face several ethical issues. First, data privacy is a major concern, as BI often involves collecting and analyzing large amounts of personal data, risking breaches and misuse. Second, data accuracy and integrity must be maintained to avoid misleading insights and decisions. Third, there is the potential for biased algorithms, which can perpetuate discrimination and inequality. Fourth, the transparency of BI processes is crucial to ensure accountability. Fifth, informed consent is necessary when using personal data. Sixth, the purpose and use of data must align with ethical standards. Lastly, there is a risk of over-reliance on BI insights, which may overshadow human judgment and ethical considerations.
₹33000-60000
Analytical Skills / Technical Skills / problem-solving/ Database Knowledge
400 Hours
| METHODS | REGISTRATION FEE | PROGRAM FEE | TOTAL FEE |
|---|---|---|---|
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 1 |
₹3,000 | ₹50,000 | ₹53,000 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 2 |
- | ₹50,000 | ₹50,000 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 1 |
$50 | $290 | $340 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 2 |
- | $290 | $340 |
Notes: GST of 18% is applicable as per Govt of India notification on total course fee.
Students residing outside India need to pay additional fee towards courier charges.
E Prospectus and Application Form
Empowering through innovative solutions and technology integration.
Introduction to Business Intelligence
Foundations of Ethics in Business
Ethical Challenges in Data Collection
Privacy Concerns in Business Intelligence
Ethical Implications of Data Analysis
Case Studies in Ethical Dilemmas
Governance and Regulation in Business Intelligence
Transparency and Accountability in Data Usage
Bias and Fairness in AI and Algorithms
Ethical Decision Making in Business Intelligence
Corporate Social Responsibility in Data-driven Environments
Business Intelligence (BI) refers to the technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. It helps organizations make data-driven decisions by providing insights into their operations, customers, market trends, and other relevant factors.
A Business Intelligence Master Program typically covers a comprehensive curriculum designed to equip students with the knowledge and skills needed to excel in the field of BI. This may include courses on data analysis, data visualization, data warehousing, data mining, predictive analytics, business analytics tools, and more. Students may also engage in hands-on projects and internships to gain practical experience in applying BI concepts to real-world scenarios.
Graduates of a Business Intelligence Master Program can pursue various career paths in industries such as finance, healthcare, retail, marketing, and more. Some common job roles include BI analyst, data analyst, business analyst, data scientist, BI developer, and BI consultant. These professionals are in high demand as organizations increasingly rely on data-driven insights to drive strategic decision-making and gain a competitive edge in the market.
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