Data Science
You’ll develop the analytical skills and data-driven mindset you need to analyze complex datasets, derive meaningful insights, and create innovative solutions across a wide range of industries—empowering you to make a measurable difference in whatever you do.
- 2 Years / Onsite
- Intakes: Jan, Apr, Jun, Oct
Overview
Data Science explores how data can be collected, processed, analyzed, and visualized to uncover patterns, inform decisions, and solve complex problems. At Lisburn University, we examine the ways data science can be applied—and sometimes misused—to drive advancements in technology, business, healthcare, government, and many other fields where data is a critical resource.
One day in class, your professor might present a dataset from a social media platform or an industry case study. You and your classmates analyze, interpret, and discuss the dataset from different perspectives, such as its source, its structure, the insights it reveals, the ethical considerations surrounding its use, and its real-world implications. Then, you apply analytical tools to create your own data-driven solutions or visualizations in response.
Career Opportunities
Our graduates work and intern in a wide range of fields, including data analytics, machine learning, artificial intelligence, business intelligence, healthcare informatics, finance, cybersecurity, software development, and technology consulting. Many have gone on to join leading tech companies, start their own data-driven businesses, or pursue advanced degrees in data science, artificial intelligence, statistics, computer science, and related disciplines.
Program Learning Outcomes
Demonstrate an understanding of how data shapes patterns of decision-making, the expression of societal trends, technological advancements, and the relationships between information, power, and ethics in both local and global contexts.
Be able to use a variety of methodological tools, including statistical analysis, machine learning, data visualization, and programming, to analyze and interpret large datasets that inform decisions in diverse industries and fields.
Demonstrate an understanding of the possibilities, challenges, and ethical implications of data-driven solutions and prepare to use their knowledge to address real-world problems, promote innovation, and contribute to a more equitable and informed world.
Programme
| Semester 1 | Credits | Number |
|---|---|---|
| Introduction to Data Science | 4 | DS101 |
| Programming for Data Science (Python) | 2 | CS102 |
| Linear Algebra for Data Science | 4 | MA103 |
| Semester 2 | Credits | Number |
|---|---|---|
| Data Visualization and Communication | 4 | DS201 |
| Data Structures and Algorithms | 4 | CS202 |
| Calculus for Data Science | 2 | MA204 |
| Semester 3 | Credits | Number |
|---|---|---|
| Machine Learning Fundamentals | 4 | DS301 |
| Database Management Systems | 2 | CS303 |
| Advanced Statistical Methods | 4 | ST304 |
| Semester 4 | Credits | Number |
|---|---|---|
| Deep Learning and Neural Networks | 4 | DS401 |
| Natural Language Processing | 4 | DS402 |
| Reinforcement Learning | 2 | DS403 |
| Total for the entire period of study | 40 |
Contact us
Unit 1 44-550 Longstone Street, Lisburn BT28 1TP Northern Ireland
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.