Data Science & Analytics
You’ll develop advanced strategic thinking and research-driven problem-solving skills to critically analyze, innovate, and implement cutting-edge data science and analytics strategies. This program prepares you to contribute original research, shape industry practices, and drive meaningful impact in the evolving landscape of big data, machine learning, and AI-driven insights.
- 3 Years / Onsite
- Intakes: Jan, Apr, Jun, Oct
Overview
Data Science & Analytics at the PhD level delves into advanced research on how data-driven methodologies uncover insights, optimize decision-making, and drive innovation across industries. At Lisburn University, our program explores the intersection of machine learning, statistical modeling, and big data technologies to develop groundbreaking analytical frameworks.
In a research seminar, you might analyze a large-scale data-driven study, deconstructing its use of predictive modeling, deep learning techniques, and real-time data processing. You and your peers critically evaluate its effectiveness, ethical considerations, and long-term impact on industry practices. Then, through independent research, you contribute to the field by developing innovative algorithms, methodologies, and applications that address real-world challenges in data science and analytics.
Career Opportunities
Graduates of our PhD program in Data Science & Analytics pursue advanced careers in academia, research, and industry leadership. They hold positions as university professors, data scientists, machine learning engineers, research analysts, and chief data officers. Many contribute to cutting-edge research in artificial intelligence, big data analytics, and predictive modeling, influencing policy and best practices across industries such as healthcare, finance, technology, and government.
Program Learning Outcomes
Demonstrate advanced understanding of how data science and analytics influence decision-making, drive innovation, and impact economic and social systems in both local and global contexts.
Be able to apply sophisticated research methodologies, machine learning techniques, and big data tools to analyze complex datasets, uncover patterns, and develop predictive models that solve real-world challenges.
Demonstrate expertise in assessing the evolution, challenges, and opportunities in data science, contributing original research to advance the field. Be prepared to leverage this knowledge to design ethical, socially responsible, and technologically advanced analytical solutions that drive sustainable growth across industries.
Programme
| Semester 1 | Credits | Number |
|---|---|---|
| Foundations of Data Science | 5 | DSA 701 |
| Statistical Methods for Data Analysis | 5 | DSA 702 |
| Research Methodologies in Data Science | 5 | DSA 703 |
| Semester 2 | Credits | Number |
|---|---|---|
| Machine Learning and Predictive Analytics | 5 | DSA 704 |
| Big Data Management and Processing | 5 | DSA 705 |
| Data Visualization and Storytelling | 5 | DSA 706 |
| Semester 3 | Credits | Number |
|---|---|---|
| Advanced Deep Learning Techniques | 5 | DSA 707 |
| Ethical and Legal Considerations in Data Science | 5 | DSA 708 |
| Applied Research in Data Science | 5 | DSA 709 |
| Semester 4 | Credits | Number |
|---|---|---|
| Dissertation Proposal and Defense | 5 | DSA 710 |
| Industry Applications and Case Studies | 5 | DSA 711 |
| Doctoral Thesis | 5 | DSA 712 |
| Total for the entire period of study | 60 |
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.