Letterkenny Campus

Master of Science

Artificial Intelligence Research

1 year & 2 Years / Level 9 / Full-time & Part-time

Is this course for me?

In recent years there have been three key developments that have helped Artificial Intelligence to become a real-world technology with practical applications. These are cheap and faster storage and processing power, better big data analytics tools and better machine learning algorithms. These developments mean we can now teach the machines instead of programming them.

Certain semesters of this course are taken in common with other courses.

Year One

SEMESTER	MODULES	MANDATORY/ELECTIVE	CREDITS	CONTACT HOURS
1	Machine Learning	Mandatory	10	4
	Principles of Artificial Intelligence	Mandatory	10	4
2	Mathematics for Big Data Analytics	Elective	10	5
	Artificial Intelligence for Vision and NLP	Mandatory	10	4

Year Two

SEMESTER	MODULES	MANDATORY/ELECTIVE	CREDITS	CONTACT HOURS
3	Dissertation	Mandatory	60	4

Follow-on Courses

Follow up programmes elsewhere include:

Level 10 studies (Doctoral) at Letterkenny Institute of Technology or other institutions and universities at home and abroad.

Entry Requirements

Minimum Entry Requirements

The Masters Programmes will be available to applicants who meet one of the following criteria:
-An Honours Degree in Computing with first or second-class honours or an equivalent qualification.
-Candidates who do not have an Honours degree but have significant relevant experience may also be eligible for consideration via Recognition of Prior Learning (RPL).

Number of Places	18

Information for:

Student Experience

Amber Iqbal

After completing my BSc Hons Degree and Post-Graduate Computing Program from LYIT, I was looking for a Master's course that would further enhance my knowledge and open up better job prospects for the future. This is where LYIT’s master’s program in Big data caught my interest. I checked the program contents, and they fit in well with my objectives. On the path to becoming a Data Scientist, this program expanded my vision through case studies in different sectors, continuous assessments, and particularly with practical studies on data visualization, an area that involved both logic and design. The course introduced me to current technologies such as Hadoop, Amazon AWS, data visualization tools such as Tableau, R-Studio and scientific data analysis languages such as R, Python and SQL. Although it is difficult to juggle time between work and school, you will realize that you made the right decision and significantly boosted your future employment opportunities at the end of the program. With the help of lectures by professional experts at LYIT, I was able to successfully complete this two-year intensive program with distinction and currently working as a Senior Business Intelligence Analyst in a fast-paced tech environment.

Career Pathways

The main employers are:

Banking and Finance
All types of Management
Hospitals, Health and Life Sciences
Manufacturing and Energy
Communications and Transport

Graduate Careers

Graduate careers typically include:

AI Research
Fraud Detection
Credit Analysis
Smart Cities
Predictive Diagnostics
Biomedical technology

Employer Testimonials

How To Apply Download Application Form Download Prospectus

Key Information

Non Eu students will apply via https://noneuapply.atudonegal.ie/
There is a €20 application fee that all non eu students need to pay in order to submit their application .
All programmes will start in Sept 2022
Students can apply from Jan 2022 onwards

Fees

EU Fees: €5,750

Non-EU Fees: €12,000, discounts apply

Further Information

Department Administration: +353 (0)74 9186351

Head of Department Jade Lyons
Email: computing.donegal@atu.ie
Telephone: +353 (0)74 9186304

School and Department
Faculty of Engineering & Technology
Department of Computing