Business Analytics / Anailísíocht Ghnó

2019 CAO Points - 325

Minimum Number of

Subjects

Higher

6

2 H5s

Minimum Grade in

Maths

English OR Irish

O4/H7

O6/H7

Applications from QQI Level 5 and 6 are welcome. Further details at www.tudublin.ie/qqi

Mature applicants (23+) are welcome. Further details at www.tudublin.ie/mature

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 programme, 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.

Postgraduate Study
On graduation, you may continue to postgraduate study in TU Dublin or elsewhere.

  • 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

Work placement is an integral part of the programme. All students are encouraged to participate in a work placement in year 3 of the programme.

 

  • 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
TU Code

TU912

Level

Level 8

Award

Bachelor of Science (Hons)

Duration

4 years

Number of Places

20

Location

City Centre: Aungier Street

Fees

EU Fees

Non-EU Fees

Contact Us

Dr Hugh O’Donnell

Contact Us

School Office