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Business Analytics Courses in Ireland

Best Universities for MSc in Business Analytics in Ireland

MSc in Business Analytics courses in Ireland

Duration

Tuition Fees

Trinity College Dublin (TCD) MSc in Business Analytics 12 Months €20,100
University College Dublin (UCD) MSc in Business Analytics 12 Months €20,500
National University of Ireland Galway (NUIG) MSc in Business Analytics 12 Months €18,240
University College Cork (UCC) MSc in Business Analytics 12 Months €18,500
University of Limerick (UL) MSc in Business Analytics 12 Months €18,300
Maynooth University MSc in Business Analytics 12 Months €15,000
South East Technological University (SETU) (IT Carlow) MSc in Digital Media with Business Analytics 12 Months €11,250
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You can easily find full-time and part-time Business Analytics programs in Ireland. The full-time Masters (MSc) in Business Analytics courses in Ireland are of 1-year duration. In contrast, the part-time Business Analytics postgraduate courses in Ireland continue for two years. Business Analytics courses in Dublin offer a wide assortment of job aspects within an affordable range. Ireland Masters (MSc) in Business Analytics courses provide students with a complete portfolio of analytical and business methods that can further support them in making the right decisions.

There are two Masters in Business Analytics intakes in Ireland: The Spring Intake which starts in January-end and lasts till May, and the Autumn Intake, which starts early in September and lasts till December. Some of Ireland's most popular Masters in Business Analytics courses include MSc in Business Analytics, MSc Artificial Intelligence and Big Data Analyst, MSc in Business Information and Analytical System, MSc in Business Intelligence & Analytics, and MSc in Business Analytics. You can even go for free Business Analytics courses in Ireland, provided you have a scholarship or any other free study program funded in your name. Several universities offer different courses in Masters in Business Analytics in Ireland. This means that you can easily apply for Business Analytics course in Ireland at the university of your choice.

The subjects covered in Masters in Business Analytics courses in Ireland include:

  • Information Design
  • Digital Media Design
  • Digital Strategy
  • Programming for Data Analytics
  • Digital Media Applications
  • Research Methods
  • Business Intelligence Applications
  • Placement or Research Project
  • Business Data Analytics
  • Statistics for Data Analytics
  • Data Modelling and Analytics
  • Financial Regulation and Compliance Management
  • Contemporary Issues in Business
  • Business Intelligence
  • Corporate Financial Analysis
  • Trading the Financial Markets
  • Distributed Ledger Technologies and Blockchain
Business Analytics in Ireland
Business Analytics Courses

Masters in Business Analytics students can expect to cover the following modules:

Semester 1

Statistics for Business

A clear understanding of the theory and applying statistics and probability is one of the most important elements of studying Masters in Business Analytics in Ireland. Different statistical methods constitute the tools needed in business analytics while forming the basis for more advanced topics, like artificial intelligence and machine learning. In this module, the students have their focus on inferential and descriptive statistics using the R programming language. The module offers the required statistical base for introducing R programming and business analytics. Topics in the module include:

  • Probability
  • Correlation
  • Descriptive statistics
  • Distributions
  • Linear regression with two variables
  • Hypothesis testing
  • Multiple regression
  • Confidence intervals
  • R programming
  • Logistic regression
  • Assessing assumptions and performance
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Data Management

Effective data management is also one of the most important elements of all business analytics assignments. The data management module in Masters of Business Analytics in Ireland explores the practice and theory of data management, including data extraction and identification, data processing; data warehousing; data quality; big data solutions and relational databases. The main topics you may find in this module are:

  • Data storage ( relational database management systems)
  • Structured and unstructured data
  • Data quality
  • Data preparation
  • Big data solutions
  • Data acquisition
  • Ethical, security and legislation considerations
  • Data extraction with the use of SQL

HR Analytics

The most effective use of HR data can improve an organization's human resource management system and thus widen organizational performance simultaneously. The HR Analytics module in Masters in Business Analytics in Ireland considers the practical usage of data in HRM by way of applications, like evaluating and monitoring employee performance and activity and predicting employee future performance and attrition. This module also considers the theoretical basis for the effective use of HRM data, which further links the practical side of individual analytics with the HRM theory. Topics included in the module are:

  • Overview and introduction to HR analytics
  • Visual and descriptive analytics with HR data
  • Use of analytics to HRM and theoretical basis for these applications.
  • Monitoring and improving the performance of human resources with the use of data.
  • The operational and strategic role of HR analytics within a company.
  • Ethical considerations with HR analytics
  • Predictive analytics with HR data

Artificial Intelligence in Business and Society

AI or Artificial Intelligence has a substantial effect on society and on businesses too. This is evident with changes to the nature of work, data-driven business strategies; innovative developments that shape the behavior of society on the whole and even individuals; recent ethical crises in data usage, and surveillance and privacy concerns.

With AI developing very fast, these trends are likely to continue making it crucial for organizations to consider the implications of artificial intelligence on society and businesses. This module in Masters in Business Analytics in Ireland encourages students to get involved in these problems, building an in-depth understanding of the wider effect of AI and the way students can immensely contribute to the responsible developments and the effective use of Artificial Intelligence in their future careers. Topics included in the module are:

  • Wide social and economic consequences of Artificial Intelligence
  • Strategic implications of AI innovations for different businesses
  • Ethical data usage
  • Changes in the nature of work because of the use of AI.
  • Privacy and surveillance considerations in data usage
  • Legal considerations in data usage
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Semester 2

Advanced Analytics and Machine Learning

Machine Learning forms the core technology that underpins artificial intelligence, predictive analytics, and various other analytical activities. This module in Masters in Business Analytics in Ireland builds on the skills developed in the statistics module in terms of advanced statistical procedures and programming. The topics included in this module are:

  • Analytic tools
  • Analytics procedure
  • Programming different machine learning structures
  • Features selection
  • Evaluating model performance
  • Supervised and unsupervised learning
  • Evaluating the ethical implications of using different algorithms, like the potential for reinforcing privacy, security and bias.

Data Mining

The data mining module in Masters in Business Analytics in Ireland focuses on the application of data mining using Python. It starts with core data mining and coding tasks in Python and then focuses on unstructured mining data. The majority of the data produced in these present times is unstructured, like textual documents, videos, images, and social media posts. Mining this completely unstructured data offers businesses the scope to gain substantial advantages through the development of completely improved and all-new procedures and products while improving the decision-making procedure at the same time. Various additional techniques and tools are needed to extract value from unstructured data.

This module in Masters in Business Analytics in Ireland covers the most important analytics techniques and tools required to extract value from all forms of unstructured data. This module even covers different uses and sources of unstructured data, focusing on the practical examination of textual data. The module is delivered at the top Ireland universities using Python programming language. This is one of the most well-known coding languages in analytics. Therefore, in a way, the module also helps students get an idea of this crucial programming language while complementing their R coding skills. Major topics included in the module are:

  • Applications of unstructured data analytics
  • Python coding
  • Different sources of unstructured data
  • Ethical considerations in the use of unstructured data
  • Processing, discovering and conceptualising textual data
  • Supervised and unsupervised learning through unstructured data.

Other core modules covered in Masters in Business Analytics in Ireland include:

  • Data-Driven Decision Making
  • Marketing Analyticss

There's even a dissertation available as a scope for the students to take up independent projects where they need to develop technical business analytics solutions with the major elements they understand while pursuing their Masters in Business Analytics in Ireland.

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