Diploma in Data Analytics

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Fees
  • Next Steps

Diploma in Data Analytics | DBS


Due to the emergence of various technologies, data is increasing exponentially, creating new opportunities and challenges. Data analytics courses equips learners with knowledge and skills to extract trends, patterns and useful insights from data allowing them to make better use of resources, operations and bring organisations to the next level.  This programme equips learners with these modern analytical skills and the ability to analyse trends in data and generate business intelligence for enhanced business operations and better decision making in day to day business. There are many reasons why you should study at DBS. This diploma in Data Analytics has been designed for learners with non-cognate backgrounds and no technical knowledge or those with cognate background but lacking analytics skills and knowledge in the area of data analytics and business intelligence.

Programme Aims and Objectives


This programme aims to develop an understanding of the principles of data analytics and business intelligence in learners with non-IT and non-cognate educational and professional backgrounds.  Using real life examples, learners will apply analytical processes, methods and algorithms to design and develop robust solutions to a range of business problems. They will learn to analyse data and develop predictive models by utilising easy to use tools.  This diploma in Data Analytics will enable learners to apply their knowledge and skills of data analytics and business intelligence to the workplace and enhance business operations.


  • Understand the role of data analytics in the modern business world.

  • Increase data literacy in the business to drive greater business impact and approach business problems using analytics techniques.

  • Analyse and use a range of data types and data sources.

  • Develop an ability to generate business insights using tools and techniques.

  • Develop predictive models to determine future developments and trends.



Click here to view provisional timetables.


To meet the requirements of the Diploma in Data Analytics a student will be required to complete two practical data analytics assignments: individual and group assignment (100%). The assignments will not only develop data analytics skills and knowledge but also help learners to develop problem-solving, time management, presentation, report writing and analytical skills.

 Please note this programme is not on the National Framework of Qualifications (NFQ).

Course Content

The lecturing team consists of a team of staff that combine both academic qualifications with substantial practical experience, and this practical perspective is reflected in the delivery of the module. Some of the key subject areas are the following:

Importance of Data: Types of data such as record data, ordered data, time-series data, etc., Quality data.  Errors in data. Different types of attributes of data such as nominal, ordinal, interval and ratio. The data analytics life cycle.  The types of  data analytics.

Data sources: Flat files, excel files, databases, such as relational databases etc.

Data Pre-processing: Techniques such as  aggregation, sampling, dimensionality reduction, Feature subset creation etc.

Statistical Techniques: Measures of central tendency (mean, median, mode). Scatter chart, Correlation, Regression Analysis,  Logistic regression, etc.

Supervised and Unsupervised Machine Learning: Techniques such as decision trees, support vector machines., k-nearest neighbours, k-means clustering, neural networks, etc.  Developing predictive models, testing techniques , validating  models. Interpreting and Evaluating Results.

Data Visualization: Connecting to different data sources, developing charts  and graphs such as bar, line, pie charts,  heat maps, bubble charts, motion charts, etc. Applying filters, creating groups, hierarchies and sets, etc.  Creating stories and developing dashboards


The structure of this data analytics diploma will be as follows; the key subject areas are delivered over 12 weeks. There will be continuous assessment completed during the course. Each week will consist of a number of different activities which incorporate classroom, live discussion forums and Moodle resources. The programme is designed to provide students with the knowledge and the practical skills of data analytics to process data and to develop visuals and dashboards that can be applied to business.


Click here to view provisional timetables.

Career Opportunities

This programme has been designed to meet the ongoing need for Data Analysts throughout the workforce which can directly create added value and wealth to the businesses and the society. From the graduate perspective many continue to move into employment in a variety of differing roles. Those who are successful in completing the course are highly employable in fields as diverse as healthcare, finance and insurance, as well as cloud computing. There is a growing need for roles such as Data Analysts, Data Scientists, Administrators, consultants as well as leadership roles in the area of Big Data and Analytics.

Student Profile

There are two student profiles. This course will appeal to students from ICT backgrounds. It will also appeal to professionals who are willing to upskill themselves and advance their careers in the data analytics field or to apply the skills in their current role.


The fee for the Diploma in Data Analytics is €1,500. This is inclusive of tuition, registration, exam fees and DBS library membership.

View all DBS Evening Diploma fees here.

Visit Us

Open days are a great way to help you make your decision about your course of interest. The open day will give you the opportunity to receive one on one advice and direction from leading academics in your chosen subject area, meet current students and also have your questions answered on entry requirements, student support and the admissions process. Find out when our next Open Event is taking place. The Admissions Office is located in our Aungier Street campus and you are welcome to visit the college to speak with a member of our admissions team from Monday to Fridays, 8:45am – 5:15pm. Alternatively, you can contact us by email or fill out our enquiry form.

DBS Student Facilities

DBS Diploma students can also avail of a wide range of facilities to assist them in every aspect of their studies, please see below for more details.

  • Online Notes System (DBS Moodle)- is an eLearning system designed to provide you with a range of course material which will enhance and support your learning experience within DBS. 

  • DBS Library Aungier Street- the Library provides a programme of classes in the areas of Library resources, essay writing skills, avoiding plagiarism and referencing to assist you in your studies.  

  • DBS Careers and Appointment Service- which provides a range of services for Diploma students such as career advice and workshops in CV writing and interview skills. 

  • Subsidised Parking- DBS provides subsidised parking arrangements for students, which provides easy access to all main public transport routes in and out of the city centre. 

  • Subsidised Student Canteen- Diploma students can avail of the Student Canteen which is open in the evenings and offers a wide variety of choices on its menu.

  • Business & Management
  • Information Technology
  • Part-Time
  • Professional Evening Diplomas

Course overview

Certification: Dublin Business School
Schedule: 1 evening per week, 6.15-9.30pm
Next Intake: October 2024
Duration: 12 weeks (part-time)
Mode: Online Classes

Contact Us

We are now accepting applications for programmes taking place in 2024. Contact our admissions team for more information

Email: [email protected]
Phone: 01 417 7500
Opening times:
Monday to Friday
8:45am to 5:15pm