Program Overview
The Certificate in Business Intelligence program at NCI empowers professionals with the knowledge and skills to leverage data for informed decision-making. Through a blended delivery format, students gain a comprehensive understanding of data governance, analytics, and ethical considerations in business. The program prepares graduates to work effectively with data analytics specialists and enhance their career prospects in data-driven industries.
Program Outline
Degree Overview:
Overview:
The Certificate in Business Intelligence program at NCI equips students with the knowledge and skills to leverage data for informed decision-making. It provides a comprehensive understanding of data governance, analytics, and ethical considerations in the business context.
Objectives:
- Enhance students' understanding of data and data governance
- Develop their ability to use quantitative methods and analytics for data-driven decision-making
- Prepare them to work effectively with data analytics specialists
- Enable them to frame business problems in a way that facilitates informed decision-making
Program Description:
This short program is designed for managers and professionals who seek to enhance their understanding of data analytics and its application in business. It covers the following key areas:
- Big data concepts, challenges, and opportunities
- Framing business problems for data analysis
- Data governance principles and practices
- Data analytics techniques and tools
- Decision-making with data
- Ethical and organizational issues in data analytics
Outline:
Course Content:
- Big data – What it is, the challenges and opportunities
- Framing the business problem
- Data governance
- Data analytics
- Making decisions with data
- Ethical and organisational issues
Structure:
- Blended delivery: online delivery with one in-person half-day introductory session
- 30 hours of contact time: 6 hours per week over 5 weeks
Individual Modules:
- Big data – What it is, the challenges and opportunities: Introduces the concept of big data, its characteristics, and the challenges and opportunities it presents for businesses.
- Framing the business problem: Guides students in defining and framing business problems in a way that enables effective data analysis.
- Data governance: Covers the principles and practices of data governance, including data quality, security, and compliance.
- Data analytics: Provides an overview of data analytics techniques and tools, including data visualization, statistical analysis, and machine learning.
- Making decisions with data: Focuses on the process of making data-driven decisions, including data interpretation, risk assessment, and decision-making frameworks.
- Ethical and organisational issues: Explores the ethical and organizational implications of data analytics, including data privacy, bias, and the impact on decision-making.
Assessment:
Assessment Methods:
- Continuous assessment through online quizzes, assignments, and participation in online discussions
- Final project that demonstrates the application of data analytics to a real-world business problem
Assessment Criteria:
- Understanding of data analytics concepts and techniques
- Ability to apply data analytics to business decision-making
- Critical thinking and problem-solving skills
- Communication and presentation skills
Teaching:
Teaching Methods:
- Online lectures and tutorials
- In-person introductory session
- Online discussion forums
- Project-based learning
Faculty:
- Experienced faculty with expertise in data analytics, business intelligence, and related fields
Unique Approaches:
- Focus on practical application of data analytics in business
- Blended delivery mode that combines online learning with in-person interaction
- Emphasis on ethical and organizational considerations in data analytics
Careers:
Potential Career Paths:
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Management Consultant
- Business Manager
Opportunities:
- Enhanced career prospects in data-driven industries
- Increased earning potential
- Improved decision-making capabilities in various business roles
Outcomes:
- Graduates will be equipped with the knowledge and skills to:
- Understand and leverage data for informed decision-making
- Work effectively with data analytics specialists
- Frame business problems in a way that facilitates data-driven solutions
- Navigate the ethical and organizational challenges of data analytics
€950 (Fees revised annually)