PG Diploma in Computer Vision

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45 Credits (ECTS)

PG Diploma in Computer Vision

This PG Diploma will help you develop a strong foundation in essential mathematics concepts such as Linear Algebra, Vectors, Matrices, and Probability theory. You'll acquire a solid comprehension of Python programming libraries, namely OpenCV, Keras, and TensorFlow, specifically geared towards working with images. The course delves into the computer vision algorithms underpinning numerous real-world applications.

Highlights of this Program

  • Earn a PG Diploma in Computer Vision from Universidad Católica De Murcia, (UCAM) Spain.

  • Universidad Catolica De Murcia (UCAM) Spain, accredited by Ministry of Education, Spain, is a member of Bologna Process in European Higher Education Area (EHEA) and It is also a NARIC-approved and WES-accepted university.

  • It is a 45 ECTS credit programme that offers online learning in conjunction with an industry-leading curriculum.

  • Learners can complete the program within  a fixed duration of 9 months.

  • 144 hours of live instructor-led training.

  • 3 Industry-based projects, 6 assignments.

  • Hands-on experience with the latest tools & applied projects.

  • Live engagement classes by seasoned academics and professionals.

  • Guided Internship/Projects.

  • Flexible timing for working professionals.

  • Payment Scheme: Monthly Instalments.

  • This course is being delivered in partnership with Airtics Education.

Course Module & Fee

Course Registration Fee

$560 (To start with the course)

Monthly Installment

$410 (To be paid on an installment basis for 9 installments)

Total Fee

$4250

Go to Module Details

Admission Requirement

Academic Route

A bachelor’s degree from an accredited university (or academic equivalent) in any subject.

Mature Entry Route

N/A

English Language Proficiency Label

If you are not a native speaker, you should have an appropriate English proficiency level, e.g. an IELTS score of 5.5 or equivalent in all bands or possess a bachelor’s degree delivered and assessed in English, or proof of work experience in an English-speaking environment.

Prerequisite

1. Intermediate to advanced Python experience. You are familiar with object-oriented programming. You can write nested for loops and can read and understand code written by others.
2. Intermediate statistics background. You are familiar with probability.​​​​​​
3. You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.

Why UniAthena?

Flexible

At UniAthena, you are in charge of your learning! You get to decide the pace of your learning based on your financial and time availability. The learning structure is modular, ensuring pace, effectiveness and momentum of your learning journey. With this byte-sized learning format you get to learn anywhere, anytime.

Affordable

With UniAthena as your learning partner, you follow a ‘Pay as you Go Scheme’ for your program, that means no upfront bulk payment of your fee. Instead, your fee will be divided into small pocket-friendly installments distributed across your program.

Accredited & Globally Accepted

UniAthena has partnered with reputed Universities and Awarding bodies, all of which are fully accredited by governmental regulatory bodies in their respective countries. Universities are NARIC Approved and are part of European Higher education, Bologna process, making the programs recognised worldwide.

Stackable

Byte-sized learning formats ensure that each learning item carries tangible value in terms of learning outcome, which allows learners to stack or combine small units into higher education credits toward a degree or diploma. At any point of time during your course, you can claim a certificate/diploma based on the credits you have earned so far.

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Certifications

PG Diploma In Computer Vision
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Awarding Body Accredited By

Ministry of Education, Spain
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Fixed Duration

9 Months
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Learning

Online - Live Classes

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What You Learn

Module 1

Basics of Python

Basics of Python

Duration: 5 weeks

This module discusses the basics of Python programming language and explores how to set up a Python environment to work with machine learning.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 2

Mathematics & Statistics for AI & ML

Mathematics & Statistics for AI & ML

Duration: 5 weeks

This module is designed to help learners to identify the mathematical foundation required for writing programs and algorithms for Artificial Intelligence and Machine Learning.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 3

Python for Machine Learning

Python for Machine Learning

Duration: 5 weeks

The module focuses specifically on Python programming, libraries, and tools needed for data analysis.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 4

Introduction to Machine Learning and Artificial Intelligence

Introduction to Machine Learning and Artificial Intelligence

Duration: 5 weeks

This module provides an in-depth understanding of established methods of artificial intelligence and machine learning techniques.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 5

Advanced Python for Computer Vision (Specialization 1)

Advanced Python for Computer Vision (Specialization 1)

Duration: 5 weeks

This module begins by learning about numerical processing using the NumPy library, reading and changing photographs using the OpenCV library to open and deal with picture essentials.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 6

Machine Learning for Computer Vision (Specialization 2)

Machine Learning for Computer Vision (Specialization 2)

Duration: 5 weeks

This module will provide learners with knowledge and understanding of the application of machine learning methodologies to handle industrial difficulties.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 7

Capstone Project

Capstone Project

Duration: 2 -3 Months

Bring Your Own Project Learn to solve a problem that you/your organization is facing using Computer Vision.

2 -3 Months

Level: EQF Level 7

Credits: 9 ECTS

90%

Students would Recommend this Course 

80%

Students Observed Improvement in Performance at Work 

Partners of this Programme

Universidad Católica De Murcia (UCAM) is a university par excellence based out of Murcia, Spain. Established in 1996, the university is accredited by the Ministry of Education, Spain, ANECA, and is a member of ENQA, Universia, and EUA. UCAM is ranked among the 200 best universities in Europe and the 10 best valued by its students by The Times Higher Education World University Rankings 2021. UCAM has a strategic partnership network with more than 280 universities.


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Admission Process

Please find below the detailed steps to be followed as a part of the admission process.

Step 1:

Register to the Course

Fill up the form and register to the course.

Step 2:

Submit the Form

Fill and Submit the course application form.

Step 3:

Pay & Start

Upon receiving the Admission Letter, make the first payment instalment and begin learning.

Why This Course ?

Course Resources

For more detailed information about the course, please click on the link/links below.

Why This Course ?

1

Hands-on Learning Experience

The course presents a broad array of  applications and use cases to help learners gain a holistic perspective of Computer vision. It will feature scenarios pertaining to Transportation, Banking, Agriculture, Healthcare, Manufacturing, Education and Retail.

2

Sought-after Expertise

As computer vision continues to evolve and becomes increasingly relevant to a broad array of industries, the demand for computer vision specialists is growing exponentially. According to a report by Markets & Markets, the computer vision market is projected to reach $19.1 billion by 2025, growing at an annualised rate of 7.8%.

3

Industry-Focused Curriculum

A PG Diploma in Computer Vision programme is designed to thrive and stay abreast of the trends in today's dynamic marketplace. The programme features a seamless fusion of theoretical frameworks and practical applications, enabling students to comprehend real-world applications of computer vision and supported technologies.

How You Learn ?

Scientifically developed learning pedagogy, which ensures quality and effective learning experience for the learners. We ensure a seamless learning experience for students with varying levels of expertise on the subject matter.

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Live Classes

Experience real-time interaction with instructors and peers in a virtual classroom, while enjoying the flexibility to learn at your own pace.

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Text Learning Contents

Multi-level learning resources including relevant journal articles, case studies, quizzes developed by our faculty will enhance your learning experience.

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Personal Tutor

One to one personal tutor meetings will clarify your doubts and also provide guidance on your assignments.

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Online Library

You get unlimited access to the online library which consists of a large collection of books, journals, articles, white papers, videos, case studies, and other publications.

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Collaborative Learning

Discussion Forum, webinars, business scenario presentations, debates will extend your learning beyond the curriculum and open a new world before you.

What You Receive ?

You will be receiving the following certificates as specified below:

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PG Diploma In Computer Vision issued by

Universidad Catolica De Murcia (UCAM), Spain
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All certificate and transcript images are for illustrative purposes only and may be subject to change at the discretion of respective Universities or Awarding Bodies.

Ready to Start ?

Getting started with us is incredibly easy. All you need to do is register for this course with minimal details and you'll be ready to go.

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Frequently Asked Questions

1. Professionals who have a keen interest in AI
2. Career starters interested in the field of AI
3. Students aiming their career in AI and Machine learning
4. Software and IT Professionals
5. Individuals and professionals looking for a career change
6. Engineers, Marketing, Healthcare, and Finance professionals aiming for career excellence

Applicants should have a Bachelor’s degree or equivalent qualification in order to be eligible for this course. Additionally, applicants must have adequate proficiency in the English language.

Prerequisites:
1. Intermediate to advanced Python experience. You are familiar with object-oriented programming. You can write nested   for loops and can read and understand code written by others.
2. Intermediate statistics background. You are familiar with probability.
3. You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.

All applicants are required to upload the following documents in order to be eligible for admission:

1. Bachelor's Degree Certificate (Official translations should be submitted if the documents are not in English).
2. The final transcript of the Bachelor's Degree.
3. A copy of the government-issued photo identity.

The core resources of the program are video classes and related reading materials. The learners will get Live Virtual training and also on-demand learning support.

We provide on-demand learning support to every student and every student receives pastoral support and guidance from in-house student engagement team.

This program does not involve written examinations. Upon enrolling, your performance will be evaluated based on the outcomes of your capstone projects and assignments. Be informed that a final submission will encompass both the project and assignment aspects. To ensure successful completion, kindly adhere to the specified deadline for submitting assignments and capstone projects within each unit.

The following are the Application and Use Cases of this Course:

1. Transportation: CV helps in parking occupancy detection, traffic flow analysis, self-driving cars
2. Banking: CV is used in banking for biometric recognition for authentication, fraud control, etc.
3. Agriculture: CV helps automate harvesting, plant disease detection, crop and yield monitoring.
4. Health Care: Computer vision is used to analyze X-Ray, MRI, CT scans as accurately as human doctors
5. Manufacturing: CV with ML algorithm helps large-scale manufacturing in accurate defect detection
6. Education: CV tools helps teachers to conduct classes & examinations online.
7. Retail: CV made it possible to self-checkout in supermarkets, do full inventory scans and notify stock-outs.

The skills covered during the program are:

- Machine Learning
- Deep Learning
- Natural Language Processing
- Reinforcement Learning
- Computer Vision
- Neural Networks

Once you have registered for the course, you can complete the programme in a fixed time period of 9 months.

Each module must be completed within 5 weeks of the enrollment date.

This Diploma is certified by Universidad Católica de Murcia (UCAM), Spain, accredited by ANECA (National Agency for Quality Assessment and Accreditation of Spain) and the Ministry of Education regarding 17 of its undergraduate degrees.

Under any unforeseen circumstances, if you want to withdraw from the programme, you may be unable to apply for an Early Exit Award.

There will be a formal convocation ceremony conducted by UCAM in UAE.

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