Master in Artificial Intelligence and Machine Learning

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Italy Italy
CIQ logo
United Kingdom UK
CMI logo
United Kingdom UK

90 Credits (ECTS)

Master in Artificial Intelligence and Machine Learning

Engineered for the age of intelligent decision-making, the specialised program empowers professionals to move from curiosity to capability in high-impact AI roles. As new-age enterprises embed intelligence into products, processes, and strategy, this program equips learners to build, interpret, and deploy AI systems that deliver real business value. 

Blending advanced technical skills with applied analytics and strategic context, the program prepares learners to work confidently across the AI lifecycle. Graduates emerge ready to contribute to data science, machine learning, and AI-led innovation teams across technology, finance, healthcare, marketing, and operations, staying relevant, future-ready, and in demand in an AI-driven economy.

  • This 90 ECTS Master program is offered in partnership with Guglielmo Marconi University, Italy.
  • Guglielmo Marconi University, Italy, is accredited by the Ministry of Education, Italy, and is a member of the Bologna Process in the European Higher Education Area (EHEA) and is NARIC-approved.
  • Triple certification: Master in Artificial Intelligence and Machine Learning from GMU, Italy, Advanced Diploma in Artificial Intelligence and Machine Learning from CIQ, UK, and an optional Certified Manager from CMI, UK.
  • With flexible study options, modular payments, and research-driven learning, this master program prepares graduates for high-impact roles in AI engineering, data science, analytics leadership, product innovation, and applied research across sectors such as technology, finance, healthcare, operations, and consulting.
  • Option to attend the annual convocation conducted by the University in Italy.

Course Fee

Enroll in a 100% online course consisting of 8 modules and a Capstone Project. Opt for a pay-as-you-go scheme to learn without any financial burden.

Fastrack Plan

Registration Fees

$500 (To Start With The Course)

Course Fee

$3500 (To be paid on a monthly basis, $350 per Month, Total 10 Installments)

Advanced Diploma Certification Fee

$300 (On Completion Of Course Modules)

Certification Fee

$1000 (To Be Paid Upon Successful Completion Of The Program)

Total Fee

$5300

CMI Certification Fee

$300 (Optional)

Flexible Plan

Module Fee

$4000 (500 Per Module, Total 8 Modules)

Capstone Project Fee

$1000 (To Be Paid In 2 Installments Of $500 Each)

Advanced Diploma Certification Fee

$300 (On Completion Of Course Modules)

Certification Fee

$1000 (To Be Paid Upon Successful Completion Of The Program)

Total Fee

$6300

CMI Certification Fee

$300 (Optional)

Admission Requirement

Academic Route

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

Mature Entry Route

If you don’t have a Bachelor’s degree, you can apply through our mature entry route. You’ll need to provide evidence of 5 years (Minimum) of relevant managerial work experience, along with certificates of your highest diplomas/degrees/professional certifications and an updated resume. Applications are assessed on a case-by-case basis. Please send these details to  [email protected]. Applicants should be 23 years of age or above. Admission through the Mature Entry Route will be subject to the discretion of UniAthena and the respective Awarding Bodies/Universities.

English Language Proficiency

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.

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

Master in Artificial Intelligence and Machine Learning, Advanced Diploma in Artificial Intelligence and Machine Learning, Certified Manager (Optional)
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Awarding Body Accredited By

Ministry of Education, Italy
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Learning

Online

Course Fees

Fastrack Plan

(15 Months)

$5300

Flexible Plan

(12 - 24 Months)

$6300

Start Your 7-Day Free Trial !

What You Get

You will be receiving the following certificates as specified below:

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.

What You Learn

Module 1

Artificial Intelligence in Business

Artificial Intelligence in Business

Duration: 21 - 60 Days

The module examines the fundamental principles, design strategies, and ethical implications of artificial intelligence (AI) in modern business, equipping students to understand AI's influence on business, society, and the future.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 2

Python

Python (Elective 1)

Duration: 21 - 60 Days

Learners will acquire skills in writing, debugging, and optimizing Python code, efficient data handling, and developing applications for data analysis, web development, automation, and machine learning.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 3

Artificial Intelligence

Artificial Intelligence (Elective 2)

Duration: 21 - 60 Days

Learners will explore the foundational underpinnings of the technology, including its history, evolution to present forms, and key methodologies. The module will also address the key problem-solving strategies and data representation in AI, along with the evolution of such strategies in real-life applications.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 4

Structured Query Language

Structured Query Language (Elective 1)

Duration: 21 - 60 Days

This module equips learners with the expertise to navigate SQL environments with confidence, understand core database concepts, and master essential SQL commands. Students will learn to leverage aggregate functions, various join types, and develop stored procedures to enhance database performance, ultimately gaining proficiency in database optimization.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 5

Mathematics & Statistics

Mathematics & Statistics (Elective 2)

Duration: 21 - 60 Days

The module covers essential mathematical concepts and techniques critical for understanding and applying machine learning algorithms. Starting with basic mathematics and calculus, it delves into the foundational principles that underpin machine learning models.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 6

Mid Term Project

Mid Term Project

Duration: 21 - 60 Days

This module develops learners' analytical, problem-solving, and decision-making skills through an individual mid-term project that applies business theories to real-world challenges across key functional areas.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 7

Exploratory Data Analysis & Visualization

Exploratory Data Analysis & Visualization

Duration: 21 - 60 Days

This comprehensive module delves into the foundational aspects of data analysis and visualization using Python, leveraging powerful libraries such as NumPy, Pandas, Matplotlib, and Seaborn.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 8

Machine Learning Applications

Machine Learning Applications

Duration: 21 - 60 Days

In this module, fundamental concepts of machine learning are explored from basics to advanced techniques. Learners gain a comprehensive understanding of supervised and unsupervised learning paradigms through a structured curriculum.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 9

Deep Learning

Deep Learning

Duration: 21 - 60 Days

This module provides a comprehensive introduction to deep learning, starting with its core concepts and distinguishing it from traditional machine learning. Learners will explore the foundations of neural networks, including the structure of neurons, activation functions, backpropagation, and techniques to improve network performance through optimization and regularisation.

21 - 60 Days

Level: EQF Level 7

Credits: 10 ECTS

Module 10

Research Methods

Research Methods

Duration: 21 - 60 Days

This module emphasizes research ethics, empowering learners to address ethical considerations and enable independent research using quantitative and qualitative techniques.

21 - 60 Days

Level: EQF Level 7

Credits: 8 ECTS

Module 11

Capstone Project

Capstone Project

Duration: 3 - 6 Months

Capstone Project will equip learners to create a usable project through which they can integrate, synthesise, and demonstrate all their knowledge in a multi-faceted way to potential employers.

3 - 6 Months

Level: EQF Level 7

Credits: 12 ECTS

Ready to Start ?

It is really easy to start with us. You can register for this course with minimum details and get access to one of the modules of this course for 7 days.

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Partners of this Programme

Guglielmo Marconi University (GMU) is based in Rome, Italy and it is the first Italian Open University recognized by the Italian Ministry of Education, University and Research (MIUR). It appears among the 25 top performers worldwide in the categories of the U-Multirank ranking system for open-access publications, international joint publications, and regional joint publications.


Cambridge International Qualifications (CIQ), UK is a professional awarding body based in the United Kingdom. CIQ is founded on the vision of helping individual learners and employers in attaining quality accredited awards. With centers across the Middle East, Europe, and the African region, CIQ is a proud certification partner for more than 100 organizations and has a progression pathway with some of the leading universities across the world.


Chartered Management Institute, backed by royal charter is the only Chartered body dedicated to promoting the highest standards in management and leadership excellence. CMI’s management qualifications are recognized throughout the UK and Europe and provide a progressive framework that enables one to develop and broaden management skills. Their qualifications are designed in consultation with employers to meet today's demands and therefore it is valued by them.


Message from Rector

msg author

We welcome the learners of UniAthena to our qualifications and wish them the very best on their future endeavours.

Prof. Alessandra Briganti

Guglielmo Marconi University, modeled around education and research, promotes innovative ICT-based educational methodologies, stimulating learners to develop high cognitive and practical competences. The strong point of this educational system is the focus on the current educational demands required by the ever-changing working environment. By considering these developments, GMU offers learners high-quality market-oriented courses. We have been continuously growing our presence around the world through many strategic partnerships during past years and the Westford Education Group was the one of the major partnerships which has been very successful since 2015.

UniAthena is a new venture of Westford Education Group. A future ready education solution,  UniAthena utilizes the latest technology aimed at improving the learners experience. We are happy to have partnered for this new project and are eager to expand our partnership into different domains. The association with Westford Group has produced hundreds of graduates in past years and we look forward to enhancing the portfolio and providing accessibility to education around the world.

We welcome the learners of  UniAthena to our qualifications and wish them the very best on their future endeavours.

Message from Dean

We believe in developing highest standard of education for all our students.

Dean

Dr. Rainer Masera

GMU Business School, Italy

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Admission Process

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

Why This Course ?

Course Resources

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

Why This Course ?

1

End-to-End AI Mastery

From data preparation and modelling to deep learning and deployment thinking, learners gain a complete understanding of the AI lifecycle.

2

Business-Integrated Intelligence

AI is taught not just as a technical tool, but as a strategic capability, aligning machine learning with leadership, governance, and ethical decision-making.

3

Hands-On, Research-Led Learning

With structured lab sessions, a mid-term project, and a final capstone, learners apply theory to real-world datasets and industry scenarios.

How You Learn ?

Engage with a scientifically developed learning pedagogy that ensures a quality and effective journey for the learners. Enjoy a seamless learning experience tailored to your level of expertise on the subject matter.

Course Team

Frequently Asked Questions

Learners wishing to be admitted to the  Master program should satisfy the following requirements:

1. Possess a Bachelor's degree in any subject.

2. 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.

3. Applicants without a Bachelor's degree can apply through our mature entry route. Applicants will need to provide evidence of 5 years (Minimum) of relevant managerial work experience, along with certificates of your highest diplomas/degrees/professional certifications and an updated resume.

4. Applicants admitted to the program via the Mature Entry Route are required to obtain their Postgraduate Diploma Certificates as a mandatory step.

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

1. Proof of having earned a Bachelor's Degree - such as a Degree Certificate. If the documents are not in English, official translations should be submitted.
2. The final transcript of Bachelor's Degree.
3. A copy of the government-issued photo identity card.
4. Applicants without a Bachelor's degree can apply through our mature entry route. Applicants will need to provide evidence of 5 years (Minimum) of relevant managerial work experience, along with certificates of your highest diplomas/degrees/professional certifications and an updated resume.

Follow these steps to formally enroll in the Master:

1. Register on UniAthena for a free 7-day trial.
2. Upload all the documents as required under the 'Eligibility Criteria' to the learning portal by clicking on 'Enroll Now' on the learning dashboard.
3. The academic panel will then review your documents and if found to be eligible, send you an 'Admission Offer Letter'.
4. On receiving the 'Admission Offer Letter', you can start your payment.
5. You will be given access to subsequent module content only after completing the previous module.
Once your payment is confirmed, you will be sent an official 'Admission Letter' along with a receipt for the amount paid. You will also get access to the Assignment related documents in the 'Project Details' section.

If you are unsure about your eligibility or if you do not have a Bachelor's degree, then contact us at [email protected] and attach the relevant documents to your email. You won't be asked to make a payment until we determine you are eligible to be admitted.

Once you register for the course, you will have access to the learning resources of the first module (or "course" in the American system) where you can access the learning materials and the e-library. Your access to these learning resources will end after 7 days of registration and you will need to enroll for the program. In order to be eligible for admission, you must upload all the eligibility-related documents on the learning portal and subsequently must have received an 'Offer of Admission' letter.

Flexible Learning: This learning route provides more flexibility in terms of course completion time which is ideal for working professionals with prior commitments. It also eliminates monthly financial obligations for learning and allows learners to progress at their pace.

Fast-track Learning: This route is preferred by individuals looking for shorter duration for course completion and are willing to dedicate substantial time to studies. It is ideal for quick career advancement and features fixed monthly payments that offer substantial saving on the module fees.

We have two different payment methods fast-track and flexible plans. Both  are meticulously designed to provide learners with seamless and convenient learning experience according to their budget plans. The fast-track plan comes with monthly payment options, propelling learners to fast-forward their learning journeys and offering substantial savings on module fees. It will serve as an ideal choice for those seeking to optimize both their time and budget. In contrast, the flexible plan is tailored to work around the hectic schedules of professionals, enabling them to progress and eliminate monthly financial obligations.

Yes, the Fast Track payment plans include Course Extension Charges as follows:

  1. Course Extension for 3 months: USD 250
  2. Course Extension for 6 months: USD 500
  3. Course Extension for 9 months: USD 750
  4. Course Extension for 12 months: USD 1000

Please note:

  • You can extend in phases of 3 months each by paying USD 250 every time (i.e., every 3 months extension will be charged at USD 250).
  • The minimum extension period is 3 months, meaning you must pay a minimum of USD 250 for a 3-month extension, even if you finish in less than 3 months.

Yes, learners have the option to switch from one plan to the other during their learning journey. However, a course plan switch fee of USD 300 will be applicable.

After enrolling in a particular program or receiving the admission letter, we are unable to offer refunds as per our policy. However, prior to enrollment, all learners have the option to utilize the free trial period, which lasts between 3 to 7 days.

The Referral Policy is a UniAthena initiative to make our programs more affordable to the learners. Learners can share programs with friends, family or even peers. If the Invitee enrolls for the suggested program, the next module is made free of charge.

Yes. Students may request a course transfer by submitting an application to the Academic Department. Upon approval, the transfer will be processed. A USD 300 course transfer fee applies for programs such as MBA, Master’s, Bachelor’s, and DBA, while a USD 100 transfer fee applies for transfers between Microcredit courses.

The core resources of the program are video classes and related reading materials. The video lessons and reading materials will provide you with adequate knowledge to understand the module content. Additionally, you will also be learning from webinars, online library, additional learning materials and case studies curated by faculty.

Yes, whenever a learner joins, she/he will be assigned a Personal Tutor, whom the learners can reach out for any academic assistance. For any non-academic assistance, learners can reach out to the Student Engagement & Experience ([email protected]).

There are no written exams for this program. All modules except midterm projects follow a summative & formative assessment method, where you will have to complete unit-wise quizzes and assignments. You can access quizzes and assignments under the "Project Details" section in the learning portal. Each quiz allows two attempts, with the best score counted, and you must complete the quiz before you can access the assignment. Assignments allow only one submission, and once submitted, no changes can be made.

For the module midterm project you will be assessed through the submission of a report and a PowerPoint presentation.

After you submit the assignment and quiz, the faculty will evaluate and provide feedback including results (your grade) within 7 days of your submission. If you fail, you will receive detailed feedback explaining the reasons for the failure. You will need to revise your work based on the assessor’s comments and resubmit the assignment within 7 days of receiving your results. There are no additional fees for resubmission.

If you do not resubmit the assignment within 60 days, you may request a extension for resubmission by paying an extension fee. If you fail again on your resubmission, you may apply for a retake by paying a retake fee.

All exempted modules will be marked as “Pass” or 50% grade. No merit or distinction grades will be granted for the exempted modules.

Sl.No

Module Type

Module Name

ECTS Equivalent

PART - A

1

CORE

Artificial Intelligence in Business

10

2

Elective

Python

10

Core Artificial Intelligence

3

Elective

SQL-Structured Query Language

10

Mathematics & Statistics

4

CORE

Mid Term Project

10

5

CORE

Exploratory Data Analysis & Visualization

10

6

CORE

Machine Learning Applications

10

7

CORE

Deep Learning

10

PART - B

1

CORE

Research Methods

8

2

CORE

Capstone Project

12

Total Credits

90

Once you move to the capstone project (thesis) stage, you will be assigned a Research Supervisor who will support you through the capstone project. The Guide normally has 3 meetings with the learners: first introductory meeting, then a second review and lastly, a final review.

Once you complete the final capstone project, then you may be called for a "viva" to defend your capstone project depending on the decision of the Research Committee. The result will be published within 30 days of submission of the capstone project; if you fail the capstone project, then you will have an opportunity to resubmit the work as per the feedback provided by the Research Committee and the corrected work should be submitted within 30 days of publishing the results.

If you fail on your resubmission, then you may have to pay the capstone project fee again and you will need to start over on a new project.

Once you have enrolled for the capstone project, you need to submit the final work within 3-6 months of enrollment. In case of failure of submission, an extension fee will be applicable.

Note:

The final viva will be scheduled once the learner successfully completes the full payment for the chosen course.

You can complete this Master Program from a minimum of 12 months to a maximum of 24 months, based on your pace, time, and financial availability.

A module can be completed in a minimum of 21 days. The maximum duration is 45 days for a fixed schedule and 60 days for a flexible schedule.

Yes, the Master in Artificial Intelligence and Machine Learning is awarded by Guglielmo Marconi University University approved by Ministry of Education, Italy. Hence it is globally accepted. However, different countries have different requirements, so they may enforce their own regulations.

The Program is awarded by Guglielmo Marconi University, Italy. Guglielmo Marconi University, Italy is accredited by the Ministry of Education, Italy. Besides, GMU, Italy is part of the Bologna process of EU and is a NARIC approved university providing recognition to Programs across the European Union.

Under any unforeseen circumstances, if you want to withdraw from the program, you may apply for an Early Exit Award. Based on the credits earned and modules completed, you might receive a credit statement or a diploma or an extended diploma by paying the certification fee. You will be able to resume the course at a later date by re-enrolling and may resume from where you stopped, depending on the availability of that particular course at the time of re-enrollment.

Successful learners will be able to attend the annual graduation ceremony conducted in Italy. GMU will provide an invitation letter to all such learners which can be used for processing your visa for this purpose.

On successful completion of all the modules and Dissertation, learners can claim for a certificate by making the payment for certification fees. Upon claiming the certificate, it will take a maximum of 3 months for the learners to receive the certificate from the awarding body.

Extra Courier charges of $50 has to be paid for receiving the hardcopy of the certificate.

GMU certificates are typically issued within 90 to 120 days from the date of course completion.

Contact [email protected] for assistance regarding delays.