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Students
Tuition Fee
EUR 48,750
Per year
Start Date
Medium of studying
Blended
Duration
12 months
Program Facts
Program Details
Degree
Diploma
Major
Business Analysis | Business Management | Marketing
Area of study
Business and Administration
Education type
Blended
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 48,750
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


The Diploma in Data Analytics for Business is a one-year, part-time program that equips learners with the knowledge and skills to work as Data Analysts. Through classroom learning, laboratory sessions, and interactive workshops, students gain expertise in data exploration, preparation, visualization, and machine learning. Graduates are eligible for entry-level roles in Data Analysis and can pursue further academic studies or career advancement.

Program Outline

Degree Overview:

The Diploma in Data Analytics for Business is a one-year, part-time program designed to provide learners with the knowledge, skills, and competence in Data Analytics. It aims to produce graduates with the attributes and abilities required to work as Data Analysts and to enable them to continuously develop their knowledge and competence to remain competitive in an ever-advancing sector. Graduates will be eligible for entry- or junior-level professional roles in Data Analysis and can progress further in their careers using skills related to those learned in the program curriculum. The program also provides a pathway for further academic studies at NFQ level 7 or above.


Outline:

The program comprises classroom and laboratory learning, as well as interactive workshops, all carried out within an industry-focused environment. Industry-initiated real-world problems are provided and used as the context for planning and designing assessment solutions, as well as for problem-solving sessions. The program content is structured around the following modules:

  • Digital Transversal Skills
  • Introduction to Programming for Data Analytics
  • Fundamentals of Statistics for Data Analytics
  • Machine Learning I
  • Data Exploration and Preparation
  • Data Visualization and Communication
  • Machine Learning II
  • Analytical Methods for Big Data
  • Strategic Business IT

Teaching:

The program utilizes a carefully designed schedule with modules focused on data analysis topics. The design and development of modules were informed by industry consultation. The teaching methods include classroom and laboratory learning, as well as interactive workshops. All of this is carried out within an industry-focused environment.


Careers:

Graduates of the program will be able to secure professional roles at entry or junior level positions in Data Analysis, and progress to beyond these roles using skills related to those learned in the program curriculum. The program also aims to provide graduates with the ability to advance their IT career by attaining a qualification that enables them to secure industry entry-level positions or further advancement within their current sphere.

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