Artificial Intelligence for Computer Vision - Professional Diploma

Brief Description

Create intelligent systems that can analyse, process, and interpret vast amounts of visual data in real time with UL's one-year, part-time online Professional Diploma in Artificial Intelligence for Computer Vision.

Overview

During this programme, you will:

• Focus on deep learning applications and critical computer vision applications, including facial recognition and 3D reconstruction.
• Explore Machine Vision and Image Processing principles and key topics such as linear image processing, feature detection and essential object detection.
• Use advanced tools and techniques used in industry for real-world computer vision applications.
• Develop critical thinking and problem-solving skills for designing and evaluating AI-powered visual systems across diverse sectors.

Programme Content

• Complete part-time over one year
• Delivered online
• Modules taught during autumn and spring semesters
• Approx. 12 weeks per semester
• Submit Future Focused Professional Portfolio at the end of the final semester
• Can be used to complete 30 credits towards Master of Professional Practice (MPP) or MSc Engineering Practice
• Modules with (M) beside them can be taken as independent micro-credential

Year 1

Autumn Semester

• Deep Learning for Computer Vision (CE5021) examines the application of deep learning to the key computer vision tasks of image classification, object detection and semantic segmentation.
• Machine Vision & Image Processing (M) (CE5011) focuses on Machine Vision and Image Processing principles, introducing key topics such as linear image processing, feature detection and essential object detection.
• Future Focused Professional Portfolio 1 (MN5141) discuss the future of technology, the future of markets, the future of society and work collaboratively to identify key trends impacting your role and organisation.

Spring Semester

• Geometric Computer Vision(CE5002) explores the significance of the structure and shape of the environment in which a camera is located.
• Intelligent Visual Computing and Applications(CE5012) focuses on deep learning applications to critical computer vision applications, including facial recognition and 3D reconstruction.
• Future Focused Professional Portfolio 2(MN5152) provides an opportunity to demonstrate independent and self-determined learning through the creation of your own individual portfolio.

Entry Requirements

• Applicants should hold a bachelor's degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in a relevant or appropriate subject.
• The university will shortlist and invite you to an interview.
• Other Entry Considerations: We encourage you to apply even if you don't meet the standard entry requirements, as long as you can show that you have the knowledge, skills, and experience needed for the programme.
• At UL, we value all kinds of learning and support different ways to qualify through our Recognition of Prior Learning (RPL) policy.

International students:

• For details on country-specific qualifications visit postgraduate entry requirements for international students.

Checklist of documents to provide:

• Academic transcripts and certificates
• UL graduates only need to provide their student ID.
• Copy of your birth certificate or passport
• English translation of your qualifications and transcripts
• Copy of your CV

English Language:

• English Language Competency certificate
• For details on accepted language qualifications visit English Language Requirements

Fees

• EU - €5,250
• Please note that international study visas are only available to students studying full-time in Ireland. This programme does not qualify for a study visa.
• Annual fees are billed by semester. Once registered, students may be eligible to apply for a monthly payment plan.
• Further information on fees and payment of fees is available from the Student Fees Office website.

Funding

Find further information on funding and scholarships.

Graduate Profile

This course can lead to the following sectors and careers:

• Data Scientists
• Software Developers
• Engineers
• Researchers

---

Outline:

---

Semester 1

• Deep Learning for Computer Vision
• Machine Vision & Image Processing (M)

---

Semester 2

• Geometric Computer Vision
• Intelligent Visual Computing and Applications

---

Both Semesters

• Future Focused Professional Portfolio 1 & 2

---

Teaching:

• Part-time, online delivery
• 15-18 hour weekly commitment
• One-hour weekly live session
• Tutorials held at a time that suits students
• All material recorded for self-directed learning
• Support from lecturers and tutors

---

Careers:

• Software Developers
• Data Scientists
• Engineers
• Product Managers
• Researchers

---

Other:

• Co-designed with industry to ensure skills transfers are industry-responsive
• Focuses on peer-to-peer and team learning, critical reflection, and feedback
• Incorporates coding challenges in AI and Computer Vision
• Stackable with MicroCreds
• Can be used as the final 30 ECTS Credits to stack into the Master of Professional Practice (MPP)

University of Limerick

---

Overview:

University of Limerick (UL) is a public research university located in Limerick, Ireland. It is known for its strong academic programs, vibrant campus life, and commitment to research and innovation. UL is ranked among the top 3% of universities worldwide and is a leading institution in Ireland for its contributions to research, teaching, and community engagement.

---

Services Offered:

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

Library:

The Glucksman Library provides access to a vast collection of books, journals, and digital resources.

Student Gateway:

This online portal provides access to student information, course materials, and other important resources.

Accommodation:

On-campus accommodation options are available for students, with a variety of choices to suit different needs and budgets.

Cafés and Restaurants:

The campus has a variety of dining options, including cafes, restaurants, and a student-run Coop.

Sports Facilities:

UL Sport offers a wide range of sports facilities and activities for students, including a state-of-the-art sports arena.

Student Support Services:

The university provides a range of support services to students, including academic advising, career counseling, and mental health services.

---

Student Life and Campus Experience:

UL offers a vibrant and diverse campus experience, with a strong emphasis on student engagement and community involvement. Students can participate in a wide range of clubs, societies, and events, both on and off campus. The university also has a strong focus on sustainability and social responsibility, with initiatives aimed at promoting environmental awareness and community engagement.

---

Key Reasons to Study There:

Strong Academic Programs:

UL offers a wide range of undergraduate and postgraduate programs across various disciplines, with a focus on research and innovation.

Vibrant Campus Life:

The university provides a dynamic and engaging campus experience, with a wide range of opportunities for students to get involved in extracurricular activities and social events.

Research Excellence:

UL is a leading research institution in Ireland, with a strong focus on innovation and collaboration.

International Focus:

The university has a strong international focus, with a diverse student body and a commitment to global engagement.

Location:

UL is located in Limerick, a vibrant city with a rich history and culture.

---

Academic Programs:

UL offers a wide range of academic programs across seven faculties:

Arts, Humanities and Social Sciences:

This faculty offers programs in areas such as history, law, modern languages, politics, English, Irish, and sociology.

Education and Health Sciences:

This faculty offers programs in areas such as physical education, psychology, medicine, education, nursing, and allied health.

Kemmy Business School:

This faculty offers programs in areas such as accounting, finance, economics, management, and marketing.

Science and Engineering:

This faculty offers programs in areas such as computer science, electronic engineering, mathematics, statistics, design, and engineering.

Irish World Academy of Music and Dance:

This academy offers programs in traditional Irish music and dance.

---

Other: