This course is delivered by IBAT College Dublin an academic partner of GISMA Business School. IBAT and GISMA are both members of Global University Systems (GUS), which is an international network of higher-education institutions, brought together by a shared passion for accessible, industry-relevant qualifications.

Predictive data analytics is a widely used tool, particularly across the marketing and finance industry. By learning how to use multivariate techniques, you will transform large datasets and develop actionable insights, particularly through the software platform: RapidMiner.

Throughout the diploma, you will have the opportunity to extract information out of existing datasets to determine patterns and predict future trends. You will also be introduced to a number of advanced techniques such as data modelling and mining, both of which are used to predict the probability of events such as loan defaults, customer churn and stock market fluctuations.

Prepare to be part of this growing field by enrolling today.

Why choose this programme?

For students looking to change their role from ‘observer’ to ‘strategist’ and ‘analyst’, this is the perfect course. You will be able to undertake roles where you actively work with management and operations functions to help direct the decisions of a business on a day-to-day business. By the time you have completed the programme, you will be able to apply for roles in:

  • ICT companies (e.g. Google, eBay, Facebook, Amazon, Paddy Power),
  • The pharmaceutical industry (e.g. Jansen, Merck, GSK),
  • The financial services industry (e.g. Bank of Ireland, AXA, EY, Accenture, Deloitte)

According to Future Jobs Ireland 2019 report, the refreshed priority themes and areas for 2018 to 2023 include data analytics as one of the priority area in ICT skills, meaning now is a great time to study this programme.

Objectives of the programme

Throughout the programme, you will learn:

  • How to apply theory in practice and build a data-driven culture within your business
  • Begin to understand the art and science behind predictive analytics, helping you to make clearly-defined business decisions
  • Develop actionable plans from corporate data which drives sales, improves customer retention and reduces marketing costs
  • Select, prepare, construct, structure and format data in an effective way ensuring the predictive model meets the business goals
  • Understand how to use and assist in selecting industry standard analytics tools
  • Integrate powerful and traditionally untapped sources of information including social data, unstructured text and big datasets

Who is the course suitable for?

Whether you’re just starting out or have a wealth of experience behind you, there is something to be gained from this diploma. Designed for those who want to expand their knowledge of data analytics and predictive modelling, this programme will help you to build your understanding of data and data models.

In particular, the diploma is targeted at marketing and financial professionals, as well as those with a technical background looking to break into the named industries.

It important to note that this is not a statistics course; even though all the techniques are based on the theory of statistics, the approach taken here is logic-based, rather than formula-based. Hence, you will not be a statistics expert at the end of this course; however, you will know and apply all the techniques in a practical manner.


IBAT College Dublin is committed to providing a range of programmes in the areas of business, IT, sports, tourism and the English language to both domestic and international students. With a broad range of industry connections, a state-of-the-art campus and faculty who come from a range of different backgrounds, students thrive at the college which is why we have achieved a student satisfaction rate of 98% in recent years. By the time they graduate, our students feel they have gained the knowledge and soft skills needed to start their careers in some of the most in-demand industries.

Why study with IBAT?

  • Industry-relevant programmes: We recognise where the skills shortages are and provide programmes that will fill these gaps. We are also connected with private institutions, NGOs and many SMEs across Ireland, helping students to gain experience of a real-life business setting.
  • Global connections: IBAT College Dublin became part of the Global University Systems group in 2016 allowing it to broaden its portfolio and offer programmes to a wider network of students. We also collaborate with a range of GUS partners.
  • Small class sizes: We believe that students learn best in a personal and interactive environment which is why we keep our class sizes small.
  • Industry experts: We employ faculty with experience of working in the industries they teach in. Due to this, students get an understanding of what it is actually like to work in their area of interest.
  • Student experience: Our students have access to a range of services. We also aim to mentor and support them throughout their education journey.

This programme will teach you how to identify situations where predictive data analytics can add value by better meeting customer needs, realising smarter allocation of marketing budgets, and improving the financial performance of your company.

You will know when to use the following modelling techniques, and understand their relevant pros and cons:

  • Factor analysis for data reduction
  • Multiple regression for prediction purposes
  • Multiple discriminant analysis for classification
  • Cluster analysis for better segmentation

Each week, class time will be allocated for you to work with RapidMiner, learning how to analyse and interpret a different multivariate statistical technique using a real-world dataset.

On completion of the programme, you will be able to apply learned theory and start building a more data-driven culture within your organisation.

In the end, you will be able to apply all learned theory into practice and start building a more data-driven culture within your organisation.

Course Content

  • Business Intelligence and Data
  • Power BI
  • Data Mining
  • SQL
  • Types of Analytics
  • Python /Jupyter
  • RapidMiner:
  • Data Preparation
  • Data Preparation
  • Modelling and Performance
  • Modelling (Decision Trees)
  • Modelling (Knn, Confusion Matrix)
  • Modelling (K Means clustering, Association rules
  • Text / Sentiment Analysis

This programme is suited for individuals with a variety of different experience levels, and while there is no academic requirement for entry, all applicants should demonstrate an interest in and an aptitude for data analytics. Basic computer literacy is a requirement with a digital literacy certificate or equivalent.

If you are eager to learn more about data analytics and predictive modelling, you should consider this programme. Specifically, if you are

  • A business manager, who wants to have a better grasp and understanding of data models and how to build a strategy based on this data
  • A marketing or financial professional, who wishes to improve your analytical skills
  • An individual with a technical background who is interested in marketing or financial data analysis
  • An individual with no technical background and are interested in exploring careers in data analytics.

The programme will introduce you to RapidMiner for predictive analytics which radically reduces the time needed to unearth opportunities and risks. If you’ve never used RapidMiner before we will help you to get started. We will show you how to install the software and explain corresponding concepts as we move through the material. However, it should be noted that while this is not a statistics course, all the techniques are based on the theory of statistics and you will need to understand basic business statistical concepts, including:

  • mean/average
  • standard deviation
  • normal distribution
  • Part-time
  • Online
  • 11 weeks
  • Continuous
  • € 875 per course

Course awarded by IBAT College Dublin


IBAT College Dublin is committed to providing a range of programmes in the areas of business, IT, sports, tourism and the English language to both domestic and international students. With a broad range of industry connections, a state-of-the-art campus and faculty who come from a range of different backgrounds, students thrive at the college which is why we have achieved a student satisfaction rate of 98% in recent years.

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