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Students
Tuition Fee
EUR 950
Per course
Start Date
Medium of studying
Blended
Duration
1 months
Program Facts
Program Details
Degree
Courses
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Blended
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 950
About Program

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)

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