Master of Science (MSc.) in Ar - Dublin Business

Tuition Fee

EUR 5,500

Per year

Start Date

Medium of studying

On campus

Duration

24 months

Program Facts

About Program

About University

Admission Requirements

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Program Facts

Program Details

Degree

Masters

Major

Artificial Intelligence

Area of study

Information and Communication Technologies

Education type

On campus

Timing

Part time

Course Language

English

Tuition Fee

Average International Tuition Fee

EUR 5,500

Intakes

Program start date	Application deadline
2024-09-01	-

About Program

Program Overview

The MSc in Artificial Intelligence program at Dublin Business School equips learners with the skills and knowledge to excel in the rapidly evolving field of AI. The program focuses on the intersection of technology, programming, data science, and information processing, preparing graduates for a range of career opportunities in various industries. The program is offered in both full-time and part-time formats and is accredited by Quality & Qualifications Ireland (QQI).

Program Outline

Degree Overview:

Overview:

The Master of Science (MSc.) in Artificial Intelligence (AI) program at Dublin Business School aims to meet the growing demand for AI specialists across various industries. It equips learners with the necessary skills and knowledge to excel in this rapidly evolving field. The program caters to individuals with a background in statistics, computing, or technology who wish to upskill in AI. Learners can choose to complete the program with or without the dissertation component.

Objectives:

Develop mastery of current and emerging computer technologies, particularly those related to AI development and application.
Provide in-depth knowledge of AI management within organizational contexts.
Facilitate the development of practical skills directly relevant to the workplace.
Foster autonomous learning skills.
Equip learners with a deep understanding of current research and analysis issues.
Enable learners to identify, develop, and apply analytical, creative, problem-solving, and research skills.
Prepare learners to address unforeseen situations arising from emerging industry needs.
Provide a comprehensive platform for career development, innovation, and further study.

Description:

The MSc in AI program focuses on the intersection of technology, programming, data science, and information processing to address the growing demand for AI specialists across various industries. The program recognizes the interdisciplinary nature of AI and its integration with analytics and large data volumes. It equips learners with the skills and knowledge to harness AI's potential for future technological advancements.

Outline:

Content:

The program comprises the following modules:

Stage One:
Programming for Data Analysis
Cognitive Science for AI
Machine Learning & Pattern Recognition
Recommender Systems
Stage Two:
Applied Research Methods
Applied Research Project (optional)
Deep Learning
Reinforcement Learning
Natural Language Processing

Structure:

The program is offered in two formats:

Full-time: 1 year (2 semesters)
Part-time: 2 years (4 semesters)

Course Schedule:

All learners are expected to attend classes in person. The specific schedule for each module is provided at the beginning of the semester.

Individual Modules:

Programming for Data Analysis: This module introduces learners to the fundamental programming concepts and techniques used in data analysis.
Cognitive Science for AI: This module explores the cognitive processes and models that underpin AI systems.
Machine Learning & Pattern Recognition: This module covers the principles and applications of machine learning algorithms and pattern recognition techniques.
Recommender Systems: This module focuses on the design and implementation of recommender systems for personalized recommendations.
Applied Research Methods: This module provides learners with the necessary skills and knowledge to conduct independent research.
Applied Research Project: This module allows learners to apply their research skills to a specific AI-related project.
Deep Learning: This module delves into the theory and applications of deep learning architectures and algorithms.
Reinforcement Learning: This module explores the principles and applications of reinforcement learning for intelligent agents.
Natural Language Processing: This module covers the techniques and applications of natural language processing for understanding and generating human language.

Assessment:

The MSc in AI program utilizes various assessment methods, including:

Essay writing
In-class presentations
Graded group dissertation
Examinations (module-specific)

Teaching:

Teaching Methods:

The program employs a variety of teaching methods, including:

Lectures
Seminars
Workshops
Case studies
Group projects

Faculty:

The program is taught by experienced and qualified faculty members with expertise in AI and related fields. The faculty actively engages with students, fostering an interactive and stimulating learning environment.

Unique Approaches:

The program adopts a practical approach, emphasizing the application of theoretical concepts to real-world scenarios. Students are encouraged to engage in hands-on projects and case studies to gain practical experience in AI development and implementation.

Careers:

The MSc in AI program prepares graduates for a range of career opportunities in various industries, including:

Data architects
Software engineers
Machine learning engineers
Deep learning engineers
Computer vision specialists
Language and speech specialists
AI architecture specialists

Other:

The program is accredited by Quality & Qualifications Ireland (QQI).
The next intake for the program is September 2024.
The program fees are €8,995 per year for full-time students and €5,500 per year for part-time students.
The program duration is 1 year for full-time students and 2 years for part-time students.
The program is offered in-person at Dublin Business School.
The program is open to both domestic and international students.
The program provides a strong foundation for further study in AI and related fields.

The course fees for the next academic year are €8,995 full-time, and €5,500 part time per annum for EU students. This covers the cost of tuition, registration and examinations. Click here to view international fees. Click here to view 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.

About University

Masters

Bachelors

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Courses

Dublin Business School

Dublin Business School: A Summarization

Overview:

Dublin Business School (DBS) is an independent college located in the heart of Dublin, Ireland. It is part of Kaplan Inc., a global provider of education services. DBS has a strong reputation for its quality of teaching and its commitment to providing a positive learning experience.

Services Offered:

DBS offers a wide range of services to its students, including:

Academic Programs:

Student Support:

Campus Life:

Library Resources:

Virtual Learning Environment:

Student Life and Campus Experience:

DBS provides a vibrant and supportive campus environment. Students have the opportunity to join sports clubs and societies, participate in student events, and connect with a diverse student community. The college is located in the heart of Dublin, offering easy access to the city's cultural attractions, entertainment venues, and employment opportunities.

Key Reasons to Study There:

Ladder of Opportunity:

City Centre Location:

Student Support:

World-Class Teaching:

Academic Programs:

DBS offers a wide range of academic programs across various disciplines, including:

Business & Management:

Arts:

Information Technology:

Law:

Other:

DBS is recognized and accredited by Quality & Qualifications Ireland (QQI). The college also offers free and partially funded Springboard+ and HCI courses in various fields, including Business and Digital, Computing, Analytics, Fund Accounting, and Fintech.

Total programs

202

Admission Requirements

Entry Requirements:

EU Home Students:

A Level 8 primary cognate degree with a minimum second-class second-division (2.2) classification from a recognized third-level institution.
Graduates of any non-cognate discipline who hold a qualification in a conversion-style program such as the DBS Higher Diploma in Science in Computing.
English Language Proficiency: For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL).

International Overseas Students:

A Level 8 primary cognate degree with a minimum second-class second-division (2.2) classification from a recognized third-level institution.
Graduates of any non-cognate discipline who hold a qualification in a conversion-style program such as the DBS Higher Diploma in Science in Computing.
English Language Proficiency: For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL).
Additional Documentation: 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.

Language Proficiency Requirements:

EU Home Students:

For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL).

International Overseas Students:

For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL).

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