Course Title: Bachelor of Science (Honours) in Business Analytics
2022 CAO Points: 322
Leaving Certificate Requirements:
|
Minimum Number of |
|
|---|---|
|
Subjects |
Higher |
|
6 |
2 H5s |
|
Minimum Grade in |
|
|
Maths |
English OR Irish |
|
O4/H7 |
O6/H7 |
QQI/FET Requirements:
|
QQI/FET Award Required |
Additional Requirements |
|---|---|
|
Level 5:
One of the following awards:
Level 6:
Full level 6 award in a relevant discipline
|
Level 5:
Distinctions in 5 modules required, which must include one of the following:
B20029 / 5N2066 Statistics
C20139 / 5N1833 Mathematics
OR
Leaving Certificate Mathematics 06/H7
|
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.
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.
You’ll be encouraged to participate in a work placement in Year 3.
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.
- Communications & Teamwork
- Database Systems
- Introduction to OO Programming
- Linear Algebra
- Principles of Marketing
- Quantitative Methods Principles of Management
- Statistics
- Supply Chain Management
- Technology Fundamentals
- Algorithms & Data Structures
- Big Data Concepts
- Enterprise Database Systems
- Marketing Research
- Project Management
- Simulation for Business Analytics
- Time Series Analysis
- Statistical Forecasting
- NoSQL Database Systems
- Dynamic Programming Languages (Python)
- Intelligent Systems
- Statistical Programming
- Business Decision Making
- Business Intelligence
- Work Placement
- Development Frameworks for Big Data
- Final Year Project
- Healthcare Analytics
- Intelligent Systems
- Marketing Analytics
- Retail/Supply Chain Analytics
- Software Development for Data Acquisition
- Strategic Management
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.
On graduation, you may continue to postgraduate study in TU Dublin or elsewhere.