| Program start date | Application deadline |
| 2025-09-01 | - |
Program Overview
The Data Science (Analytics and Applications) PgCert at Ulster University equips graduates with the skills and knowledge to specialize in data science. The program focuses on practical application of data science tools and techniques, preparing graduates for roles in various industries. The program is delivered through a combination of lectures, tutorials, seminars, and practical sessions, and assessment is conducted through coursework. Graduates have the potential to pursue careers as data analysts, business intelligence analysts, data scientists, and more.
Program Outline
Degree Overview:
This postgraduate certificate program aims to equip graduates with the necessary skills and knowledge to specialize in the field of Data Science. The program focuses on the practical application of data science tools and techniques, preparing graduates for roles in various industries including IT, business, security, health, intelligent transport, energy, and the creative industries.
Outline:
The program is delivered through a combination of lectures, directed tutorials, seminars, and practical sessions. The three modules included in the program are:
- Data Science Foundations: This module provides an introduction to key data science concepts, tools, and programming techniques. Students will gain an understanding of statistics, modeling, machine learning, and research skills through problem-solving exercises and real-world examples.
- Business Intelligence and Analytics: This module focuses on the practical application of data analysis in business contexts.
Assessment:
Assessment is conducted through coursework, which includes essays, reports, seminar papers, presentations, and projects.
Teaching:
The program is taught by experienced academic staff with expertise in data science, statistics, and related fields. The teaching methodology emphasizes a hands-on approach, encouraging students to apply theoretical concepts in practical settings.
Careers:
Graduates of the program have the potential to pursue careers in various fields, including:
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Machine Learning Engineer
- Statistician
- Research Scientist
Other:
The program is designed to be completed in one semester, beginning in September 2025. The program is offered full-time and is open to graduates with a good Honours or non-Honours degree in computing, engineering, or a related discipline.
Additional Points:
- The program emphasizes the application of the United Nations Sustainable Development Goals (SDGs) in the context of data science.
- The program utilizes Python as the primary programming language. The specific details of the program may vary depending on updates, staff availability, and other factors.
Entry Requirements:
Applicants must:
Domestic students:
- Have gained an Honours or non-Honours degree in computing, engineering, or a related discipline from a University of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which is recognised as being of an equivalent standard.
International students:
- Have gained an Honours or non-Honours degree in computing, engineering, or a related discipline from an accredited institution in their home country.
Additional Requirements:
- Applicants must provide evidence of competence in written and spoken English (GCSE grade C or equivalent).
Exceptions:
- In exceptional circumstances, applicants who don't meet the above criteria but have substantial and significant experiential learning may be considered.
- They will need to provide a portfolio of written evidence demonstrating the meeting of graduate qualities.
- This portfolio will be reviewed by the Course Committee.
International students:
- The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5.
- Ulster University recognises a number of other English language tests and comparable IELTS equivalent scores.
- The entry requirements facilitate accreditation of prior learning.
- The specific entry conditions for this course may change from year to year.
