Master of Science (MSc.) in Artificial Intelligence

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Fees
  • Next Steps

AI
Overview

This programme welcomes a wide audience of learners from cognate backgrounds. The MSc in Artificial Intelligence (Level 9, 90 ECTS) is designed to meet the increasing demand for AI expertise across industries. It provides a comprehensive curriculum that balances theoretical foundations with the development of practical skills in AI technology, programming, data science, and information processing.

The programme is structured across three semesters:

  • Semester 1: Focuses on foundational concepts and skills in programming, graph and AI, machine learning, pattern recognition, and research methods.

  • Semester 2: Covers advanced AI topics such as recommender systems, deep learning, reinforcement learning, and natural language processing, along with applied research methods.

  • Semester 3: Culminates in a capstone project (Applied Research Project or Dissertation) where learners apply their acquired knowledge and skills.

Throughout the programme, learners will develop:

  • Technical skills in AI development and application.

  • An understanding of AI management and its ethical implications.

  • Strong analytical, problem-solving, and research skills.

  • Essential professional skills including communication, teamwork, and leadership.

The programme prepares graduates for successful careers in the growing field of Artificial Intelligence.


Objectives

The programme's objectives are to:

  • Enable learners to develop mastery of current and developing computer technologies, especially skills related to the development and use of Artificial Intelligence.

  • Provide learners with a deep and systematic knowledge of the management of Artificial Intelligence in organisational contexts.

  • Facilitate the development of applied skills that are directly complementary and relevant to the workplace.

  • Identify and develop autonomous learning skills for the learners.

  • Develop in learners a deep and systematic understanding of current issues of research and analysis.

  • Enable the learners to identify, develop and apply detailed analytical, creative, problem-solving and research skills.

  • Respond ethically and informatively to address any unseen situations that may arise due to the emerging needs of industry.

  • Provide the learner with a comprehensive platform for career development, innovation and further study.


Delivery

This programme is delivered through both online and face-to-face modes of delivery, including classroom sessions (in-person and Zoom lectures), asynchronous content, and practical computer lab sessions.


Minimum Entry Requirements

Applicants to the Master of Science in Artificial Intelligence programme must hold:

  • A Level 8 honours bachelor’s degree (2.2 or above) in a cognate area (e.g., computer science, IT, engineering, mathematics) OR

  • A Level 8 Higher Diploma (2.2 or above) in a cognate area OR

  • A Level 8 honours bachelor’s degree (2.2 or above) in a non-cognate area plus 4 years of related professional experience.

Furthermore, applicants must demonstrate competence in:

  • Mathematics (e.g., linear algebra, probability, with a recommendation of 10 ECTS in their primary degree within the last ten years)

  • Coding in an object-oriented programming language (e.g., C++, C#, Java, Python)

  • English language (for non-native speakers, B2+ CEFR level, with a recent IELTS or Cambridge Certificate)

All applications are subject to assessment by the Admissions Office, including equivalence checks for international qualifications.

Module Name

ECTS

Programming for Data Analysis

10

Graph and AI

5

Machine Learning and Pattern Recognition

10

Research Methods

5

Recommender Systems

10

Deep Learning

10

Reinforcement Learning

5

Natural Language Processing

5

Applied Research Methods

5

Dissertation/Applied Research Project

25


Teaching and Assessment

The MSc in Artificial Intelligence provides students with a flexible, blended/multimodal, active, peer-led, experiential and reflective learning environment. In-class and online workshops will be used to discuss the theoretical underpinnings behind the core concepts of information systems and computing.

Assessments for this programme are 100% continuous assessment and take various forms, including, but not limited to, group and individual practical projects, portfolios, reports, technical demonstrations and presentations.

Structure

The Master of Science in Artificial Intelligence programme is structured over three semesters:

  • Semester 1: Focuses on foundational modules, including Programming for Data Analysis, Graph and AI, Machine Learning and Pattern Recognition, and Research Methods.

  • Semester 2: Covers advanced AI topics, such as Recommender Systems, Deep Learning, Reinforcement Learning, and Natural Language Processing, along with Applied Research Methods.

  • Semester 3: Culminates in a capstone project: either an Applied Research Project or a Dissertation worth 25 ECTS.

Career Opportunities

Graduates of the Master of Science in Artificial Intelligence programme can pursue diverse and in-demand careers, including roles such as:

  • AI Engineer

  • Data Analyst

  • AI Manager

  • AI Policy Maker

The programme develops essential skills valued by employers, such as:

  • Technical AI skills

  • Analytical and problem-solving abilities

  • Communication and collaboration

There is a significant and growing demand for AI professionals, and this programme prepares graduates to contribute effectively to this dynamic field.

Fees

The course fees for the next academic year are €9,195 full-time, and €5,600 part time per annum for EU students.

International Fees

EU Fees

You can also contact our admissions team who would be happy to discuss the options available for you.

Please note also that there is tax relief for Irish income tax payers at the standard rate of 20% on all fees exceeding €1,000 and up to €7,000. 

All QQI accredited programmes of education and training of 3 months or longer duration offered by Dublin Business School (DBS) are covered by arrangements under section 65 (4) (b) of the Qualifications and Quality Assurance (Education and Training) Act 2012 whereby in the event that DBS ceases to provide the programme, for any reason, after learners have started on that programme, Kaplan Inc., as guarantor, will refund the moneys most recently paid by or for the learner.   More details are included in the terms and conditions of learner admission to DBS (https://www.dbs.ie/terms-and-conditions) and on programme handbooks provided at induction.

Visit Us

Open days are a great way to help you make your decision about DBS and learn more about the Master of Science (MSc) in Artificial Intelligence. As well as experiencing our outstanding facilities, you'll have the opportunity to receive personalised advice from academics from your subject area, meet current postgraduate students and also have your questions answered on general subjects such as entry requirements, student support and the admissions process.

EU Applicants

Applicants should complete the appropriate application form and return it to the Postgraduate Admissions Office along with the following documentation:

  • Academic Transcripts (Original & Official English Translation where issued in another language). Applicants who have previously attended DBS need not provide this documentation. 

  • Proof of Identification (Birth Certificate, Drivers Licence or Passport)  

  • Proof of English (i.e. IELTS, TOEFL or equivalent) where full time study has been conducted in a language other than English or applicants whose first language is not English.

  • Detailed curriculum Vitae 

Please see programme content for any course-specific additional application procedures.

In addition to the above, in the instance of Non-EU applicants who have residency in Ireland:

  • A copy of your GNIB (Garda National Immigration Bureau) Card, Work permit (if applicable) & Passport.

  • The letter that was issued to you by the Department of Justice, Equality & Law Reform stating why you were provided with the above documentation 


International Students/ Non EU Applicants

Applicants should complete the appropriate application form and return it to the Postgraduate Admissions Office along with the following documentation: 

  • Academic transcripts

  • Proof of English (i.e. IELTS, TOEFL or equivalent)

  • A Curriculum Vitae 

  • A copy of your passport

Please note that copies of all documentation must be submitted, and that it must be translated into English where issued in another language. Please do not send original documents as these will not be returned.

Dublin Business School has a number of overseas offices and representatives worldwide. Please contact us if you wish to receive further details on your closest DBS representative.

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Course overview

Awarding Body: 
Quality & Qualifications Ireland (QQI)
QQI_Logo
Award: Masters Degree
NFQ Level: 
Level 9
Award Title:
Master of Science (MSc.) in Artificial Intelligence
Award Type:
 Major
Duration:
Full-time: 1 Year
Part-time: 2 Years
Next Intake: 
September 2026

Contact Us

Email: admissions@dbs.ie
Phone: 01 417 7500
Opening times:
Monday to Friday
8:45am to 5:15pm

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