Course Title: Bachelor of Science (Honours) in Business Analytics
Business Analytics is about converting business data into valuable information through the use of statistical techniques and advanced software. It provides a set of analytical methods for solving problems and aiding decision-making, particularly in the context of large quantities of data. Combining such analysis with intuition can provide insights to businesses and public sector organisations and help them achieve their objectives.
By developing and applying models and concepts, you can explore management issues and solve managerial problems. Many different organisations use the principles and practice of analytics.
In this course, you’ll acquire the data skills to extract, analyse, organise and present data to guide successful business decision-making.
Subjects covered include statistics, OO programming, management, marketing, database systems, algorithms & data structures, project management, big-data concepts, intelligent systems, business decision-making, business intelligence, software development for data acquisition, and strategic information systems.
Study Abroad Opportunities
In Year 3, you will have the option to study abroad for one semester in a partner University.
Work Placement
Work placement is an integral part of the course. All students are encouraged to participate in a work placement in Year 3 of the course.
Leaving Certificate Requirements
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Minimum Number of |
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|---|---|
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Subjects |
Higher |
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6 |
2 H5's |
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Minimum Grade in |
|
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Maths |
English OR Irish |
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O4/H7 |
O6/H7 |
QQI/FET Requirements
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QQI/FET Award Required |
Additional Requirements |
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Level 5:
One of the following awards:
Level 6:
Full level 6 award in a relevant discipline
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Level 5:
Distinctions in 5 modules required, which must include one of the following:
B20029 / 5N2066 Statistics
C20139 / 5N1833 Mathematics
OR
Leaving Certificate Mathematics O6/H7
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In addition to the QQI minimum entry requirements, QQI quotas and QQI points apply. The max QQI points awarded is 390. Further details at www.tudublin.ie/qqi
Mature Applicants
Applications from mature students (23+) are welcome. Further details at www.tudublin.ie/mature
English Language Requirements
If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6 overall (or equivalent) with nothing less than 6 in each component.
Click on the link below to view an indicative timetable for this course. Timetables are subject to change and up to date timetables will be provided to students on commencement.
View Sample Timetable
Semester 1
- Principles of Management (1) [Mandatory]
- Introduction to Software Development [Mandatory]
- Basic Statistics [Mandatory]
- Quantitative Methods [Mandatory]
- Marketing [Mandatory]
- Technology Fundamentals [Mandatory]
Semester 2
Semester 1
- BSMT2001 Simulation for Business Analytics [Mandatory]
- Time Series Analysis 1 [Mandatory]
- Enterprise Database Systems [Mandatory]
- Algorithms and Data Structures 1 [Mandatory]
- Project Management [Mandatory]
- Market Research [Mandatory]
Semester 2
Semester 1
- Business Decision Making- Management Science 2 [Mandatory]
- Business Intelligence [Mandatory]
- NoSQL Database Management [Mandatory]
- System Analysis and Design [Mandatory]
- Foundations of Intelligent Systems [Mandatory]
- Statistical Programming [Mandatory]
Semester 2
Semester 1
- Applied Predictive Analytics [Mandatory]
- Data Acquisition and Preprocessing [Mandatory]
- Strategic Management [Mandatory]
- Supply Chain Analytics [Mandatory]
Semester 2
Advanced Entry applications are accepted to this course. For further information on how to make an Advanced Entry application, please visit our CAO Hub. A full list of courses open for Advanced Entry are listed on the CAO website.
To qualify for Advanced Entry applicants must be currently studying, completing, or have successfully completed, studies at Level 6, 7 or 8 in a Higher Education Institution (HEI) or an equivalent, in a related area. You must demonstrate by providing transcripts of results that you have achieved the learning outcomes for each stage you wish to advance past, for example:
- To enter Year 2 via Advanced Entry, you must demonstrate that you have met the learning outcomes for Year 1.
- For entry to Year 3, you must demonstrate that you have met the learning outcomes for Years 1 and 2.
- For entry to Year 4, you must demonstrate that you have met the learning outcomes for Years 1, 2, and 3.
If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website.
On graduation, you may continue to postgraduate study in TU Dublin or elsewhere.