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BSC COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE
Be career-ready for both established and emerging sectors with this new 4-year BSc. You'll be equipped with strong computational foundations and specialised knowledge in AI technologies, while gaining practical experience through project-based learning.
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- Qualification
- Bachelor Of Science Degree
- CAO Points
- 000
- CAO/MU Apply code
- MH605
- Award Type and NFQ level
- UNDERGRADUATE DEGREE (8)
- Study Mode
- Full time
- Closing Date
- 01 February 2027
Overview
New degree beginning in September 2027
- The BSc in Computer Science and Artificial Intelligence is a forward-looking degree designed to equip students with both strong computational foundations and specialised knowledge in AI technologies.
- Students take core topics such as:
- programming
- data structures
- algorithms
- computer systems
- Advanced modules are studied in:
- machine learning
- natural language processing
- intelligent systems
- Students will gain practical experience through project-based learning, working with real-world datasets and modern development tools.
- A key focus of the course is developing problem-solving, analytical thinking, and innovation skills, enabling graduates to design and implement intelligent solutions across a variety of domains.
- Ethical considerations, including responsible AI usage, are also embedded throughout the curriculum to prepare students for the wider societal impact of these technologies.
Course structure
Duration: 4 years
First year
Computer Science (30 credits)
• Mathematics (15 credits)
• Plus choose 1 other Science subject (Biology or Engineering Science, Experimental Physics, Mathematical Physics) OR 1 other MH101 Arts subject, which may include Critical Skills from the Subject Groups available - 1, 2, 4 or 6. See p. 29 for Subject Groups.
Having successfully completed 1st year:
• Students may apply for a transfer from 1st year MH604 Computer Science to 2nd year MH605 Computer Science & Artificial Intelligence, but acceptance is dependent on quotas in that course and the applicant’s performance in 1st year modules.
• Transfer is possible from MH605 to MH604 (acceptance is dependent on the applicant’s performance in 1st year modules - no quota of places).
Second year
Concentrate on Computer Science including CS245 Introduction to Artificial Intelligence
• 10 credits in Mathematics
Third year
Students take Computer Science only
• Students will complete a minimum 6 month industrial work placement (subject to availability)
Final year
Students take Computer Science and Artificial Intelligence only
Disclaimer
The modules below are indicative of the content associated with this course of study.
The modules are subject to change as the curriculum is revised and reviewed annually.
Important: The information on this page is for prospective students, MU current students and staff should use Programme Directory.
After Graduation
- Graduates of the BSc in Computer Science and Artificial Intelligence have a wide range of career opportunities in both established and emerging sectors.
- The strong combination of technical expertise and problem-solving abilities developed throughout the programme prepares students for roles such as:
- software developer
- AI engineer
- data scientist
- machine learning specialist
- systems analyst.
- As demand for AI driven solutions continues to grow across industries including healthcare, finance, entertainment, and cybersecurity, graduates are well equipped to contribute to innovative, high-impact projects.
- The programme also supports the development of transferable skills such as teamwork, communication, and critical thinking, which are highly valued by employers.
- Practical experience gained through projects and hands-on learning enhances employability and readiness for professional environments.
Entry Requirements
Leaving Certificate Applicants
Leaving Certificate: 2H5 & 4O6/H7, Irish, English and O3/H7 Mathematics plus three other subjects.
DARE
Disability Access Route to Education (DARE) is an alternative entry route to third level education for school-leavers whose disability affected their second level education.
HEAR
The Higher Education Access Route (HEAR) is a pathway to third level education for school-leavers from disadvantaged backgrounds.
Contact the Access Office for more information on these access routes.
This table displays the requirements for Leaving Certificate applicants.
|
Subject |
Required |
Ordinary Level Grade |
Higher Level Grade |
|---|---|---|---|
Irish |
Yes |
O6 |
H7 |
English |
Yes |
O6 |
H7 |
Language |
No |
N/A |
N/A |
Mathematics |
Yes |
O3 |
H7 |
Science |
No |
N/A |
N/A |
* This course requires 3 additional subjects.
How to apply
Apply online to the CAO (Central Applications Office)
The application process depends on the type of applicant you are.
Categories of applicant:
- School-leavers (Leaving Certificate students)
- Mature students (23 years or older by 1 January in the year of entry/21 years if part-time)
- EU/EFTA/UK students
- International students (outside the EU)
- QQI (Further Education) students
- Transferring students
- Deferring students
Learn more about undergraduate applications and access routes.