Course Duration

6 months

Flexible online learning

Start Dates

February 2022

June 2022

Course Fees


Payment options available

Data Analytics Advanced Diploma - Undergraduate Year 2

The Data Analytics course is an advanced diploma that enables people with an existing foundation in data analytics to build to both extend their knowledge and gain a more in-depth understanding of the key areas of data analytics. You will add the R programming language to your existing knowledge of Python or other languages, develop your statistics ability and look more deeply into predictive modeling and machine learning. Finally, you will be introduced to business concepts and how technology, big data and data science are having a significant impact on business around the world.

Course Units

The R programming language was specifically developed for statistical analysis and is one of the most in demand skills in data analytics and data science.  In this unit you will be introduced to R through core exploratory data analysis tasks including descriptive statistics, data management and data visualisation.  You will then extend this knowledge by exploring more advanced R libraries and packages including the apply family of functions, dplyr and tidyverse packages.


A strong understanding of statistical concepts is perhaps the most important skill for data analytics professionals. In this unit you will use R to strengthen and extend your knowledge of statistical inference beyond basic hypothesis testing, parametric tests and analysis of variance to include non-parametric testing and multi-way analysis of variance

In this unit you will firstly review simple and multiple linear regression methods with R. You will then move on to predictive modelling with categorical binary variables using R and Python programming, and apply binary logistic and multinomial regression models to explore examples from domains such as marketing, healthcare and risk management.

Time series analysis is a statistical technique to analyze the pattern of data points taken over time to forecast the future. Time series is used in a wide range of domains and in this unit you will use R and Python functions and libraries to learn how to predict stock price movements, GDP and inflation for example.


In this unit you will review your understanding of machine learning concepts and algorithms before exploring these in more depth while using both Python and R programming.  You will also compare and contrast ML techniques with classical predictive modelling methods and learn to choose appropriate methods to use in different contexts. Finally you will be introduced to artificial intelligence through Natural Language Processing and gain an understanding of the relationship between machine learning and AI


Data Analytics are increasingly at the core of business strategy and decision making and it is important for data analysts to have a good understanding of the context and application of their work in real world contexts.  In this unit you will be introduced to concepts in strategy, digital transformation and business ethics, with particular emphasis on how data, data science and artificial intelligence have an impact on these areas of business. In doing so, you will examine a range of case studies where business has been significantly impacted by this.

Entry Requirements

Entry requirements for the Qualifi Level 5 Diploma in Data Analytics are as follows:

  • arrow_forward Applicants must have either completed the level 4 Diploma in Data Analytics

  • arrow_forward A qualification in computing at Level 4 or above*

  • arrow_forward OR a minimum of 18 months relevant experience*

*Candidates need to demonstrate sufficient knowledge of statistics and programming to qualify


The Level 5 Diploma in Data Analytics is assessed by assignments for each unit (60%) and a summative guided project (40%), where learners draw on the range of knowledge acquired across the six units of the qualification. 


Accreditation and Academic Progression

The Level 5 Diploma in Data Anaytics is accredited by Qualifi, a recognised UK awarding body and carries 120 UK credits and is equivalent to the first year of university studies in the UK and Europe. Holders of the diploma will also be able to apply for entry to the third year of a related university degree.

* This qualification is currently undergoing approval from Qualifi to be registered on the Ofqual Regulated Qualifications Framework.

Course Fees

The fee for this programme is 1800 Euros

Scholarships and Financing

Some applicants may be eligible for scholarships or financing options

Please enquire for more details.

Careers and Opportunities

Graduates of the Advanced Diploma in Data Analytics will find opportunities in data and business roles in commercial and government organisations.

These are some examples of job roles that

Roles: Data Analyst, Marketing Analyst, Insights Analyst, Business Analyst, Financial Analyst, Data Scientist, Data Engineer, Data Manager, Data Modeller, Human Resources

Industries: Operations, Logistics, Manufacturing, Health, Finance and Banking, Marketing, Sales


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