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MSc in Artificial Intelligence

MSc in Artificial Intelligence

Application closes 22nd May 2026

What is new?

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    Become a member of the 24,000-strong global alumni network

    Gain exclusive access to the MBS recruitment platform upon graduation. Unlock expert coaching, eCampus portal access, and a vast library of 3 million resources for lifelong growth.

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    Master AI without quitting job

    Designed for working professionals seeking to transition into high-impact AI roles, this program allows you to advance your education without pausing your career. No GMAT or GRE required.

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Program Outcomes

Elevate Your AI Career with MSc

Master advanced tools and skills required to shape the future of AI innovation

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    Build complex AI applications with GenAI, NLP, Computer vision, and Recommendation Systems.

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    Advance your career, solve real-world problems & secure leadership roles in AI.

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    Build an industry-ready portfolio with hands-on projects showcasing your skills.

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    Gain access to 3M books and articles, MBS recruitment platform, peer network & more.

Key program highlights

Why choose the MSc in Artificial Intelligence

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    Designed for Professionals

    Designed for working professionals, allowing you to learn without pausing your career. No GMAT or GRE required.

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    MBS Alumni Status

    Become a part of the 24000+ strong alumni association & gain access to 3M books and articles, MBS recruitment platform, peer network & more.

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    Learn Cutting-Edge AI Skills

    Master NLP, Transformers, LLMs, and Prompt Engineering for sentiment analysis. Python for AI, Supervised Learning, GenAI solutions & more.

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    Become a Next-Gen AI Leader

    Learn with 12+ hands-on projects, 30+ case studies & masterclasses.

Skills you will advance

artificial intelliigence

Machine Learning

Deep Learning

Generative AI & Prompt Engineering

Agentic AI

Ethical AI

Data Analysis

Computer Vision

Recommendation Systems

artificial intelliigence

Machine Learning

Deep Learning

Generative AI & Prompt Engineering

Agentic AI

Ethical AI

Data Analysis

Computer Vision

Recommendation Systems

view more

  • Overview
  • Learning Journey
  • Curriculum
  • Tools
  • Faculty
  • Mentors
  • Fees
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This programme is ideal for

Working professionals & senior leaders to drive innovation, lead transformation, & create business impact

  • Next-Gen Professionals

    Individuals starting their careers in AI, looking to build strong foundations data-driven roles and strong foundation into AI.

  • Career-Progressing Professionals

    Professionals ready to transition into high-impact AI roles, including AI/ML Specialist and Data Scientist.

  • Senior Professionals:

    Elevate your professional journey with an MSc, gaining AI-driven business insight, leadership mastery, and research skills.

  • Domain experts and functional leaders

    Integrate AI/ML into functional areas like marketing, finance, operations, and HR to solve complex business problems

Experience a unique learning journey

Our pedagogy is designed to ensure a holistic learning experience.

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    Learn from world-renowned faculty

    Learn critical concepts through live masterclasses and recorded lectures by AI experts.

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    Engage with your mentors

    Clarify your doubts and gain practical skills during weekly live sessions.

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    Work on hands-on projects

    Work on projects to apply the concepts & tools learnt in the module.

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    Get personalized assistance

    Our dedicated program managers will support you through your learning journey.

Comprehensive Curriculum

Designed by award-winning faculty, the programme encompasses essential tools & technologies that working professionals need to advance in artificial intelligence.

  • 12+

    Hands-on Projects

  • 30+

    Case Studies

Advance AI Module

Advance AI Module

GENERATIVE AI

This course provides you with an overview of Generative AI, what ChatGPT is, and how it works, business applications of ChatGPT, and an overview of other generative AI models/tools via demonstrations.

INTRODUCTION TO DATA SCIENCE & AI

Gain an understanding of the evolution of AI and Data Science over time, their applications across industries, the mathematics and statistics behind them, and an overview of the life cycle involved in developing data-driven solutions.

APPLIED STATISTICS

Learn the terms and concepts essential for Exploratory Data Analysis and Machine Learning in general. Starting from the basics of calculating simple averages to advanced methods of identifying statistical evidence to support or reject conjectures and assumptions, learners will focus on a specific set of tools required to analyse data and derive actionable insights.

TIME SERIES FORECASTING

This focuses on analyzing historical, time-ordered data to identify patterns and predict future outcomes. This module equips learners with the theoretical foundations and practical techniques needed to model trends, seasonality, and temporal dependencies across real-world datasets.

CAPSTONE PROJECT

A culminating applied project centred on a real-world business challenge. Students analyse a problem, develop an AI strategy, and implement or propose actionable solutions, demonstrating integrated learning from across the curriculum.

MSc AI Curriculum

MSc AI Curriculum

STRATEGIC MANAGEMENT

Focuses on identifying AI opportunities, formulating business strategies for AI adoption, and leading organisational digital transformation. Covers strategic analysis, implementation planning, and governance of AI within corporate environments.

AI-BASED VALUE CREATION

Examines how AI and big data can be leveraged to create measurable business value. Includes modules such as business analytics, innovative business models, and the use of AI to optimise operations, enhance customer experience, and support new product or service development.

LEADERSHIP AND COMMUNICATION

Develops leadership and management skills suited to technical teams specialising in AI and analytics. Topics include project management, organisational behaviour, cross-functional collaboration, and effective communication in technology-driven environments.

SUSTAINABILITY AND ETHICS FOR AI

Explores ethical frameworks and the societal implications of AI, focusing on responsible AI deployment, inclusivity, regulation (including data protection and GDPR), algorithmic bias, and sustainability within digital transformation initiatives.

AI APPLICATION TO BUSINESS

Covers practical approaches to deploying AI and big data across business functions such as marketing, finance, operations, and supply chain. Includes case studies, AI-driven decision-making, and piloting AI projects for business impact.

RESEARCH AND BUSINESS

Trains students in research methodology applied to AI, including designing research projects, evaluating evidence, and contributing to business innovation through research. Includes hands-on projects, academic writing, and data-driven inquiry.

CAPSTONE PROJECT

A culminating applied project centred on a real-world business challenge. Students analyse a problem, develop an AI strategy, and implement or propose actionable solutions, demonstrating integrated learning from across the curriculum.

Master in-demand AI & ML tools

Acquire practical experience with over 15 tools to develop models & create innovative solutions.

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    Python

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    SQL

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    LangChain

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    ChatGPT

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    Keras

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    Transformers

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    TensorFlow

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    Dall.E

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    Whisper

Meet your faculty

Learn from MBS School of Business faculty, combining academic knowledge with real-world industry experience.

  • Dr. Moez  Bennouri - Faculty Director

    Dr. Moez Bennouri

    Professor of Finance and Director of the MSc Programmes at MBS

    Dr. Moez Bennouri holds a PhD in Economics from the University of Toulouse. He has over twenty years of teaching experience at several institutions, including HEC Montréal and NEOMA Business School.

    His research focuses on the impact of information asymmetries on the strategic behaviour of economic agents.

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  • Dr. Oussama  Ammar  - Faculty Director

    Dr. Oussama Ammar

    Dean of Programmes at MBS

    Dr. Oussama Ammar has been a Professor of Strategy for over 20 years.

    He has served as Dean of SKEMA US and Associate Dean at SKEMA Lille.

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  • Dr. Deepa  Bhatt - Faculty Director

    Dr. Deepa Bhatt

    Assistant Professor and Head of the MSc Big Data and AI Programme at MBS

    Dr. Deepa Bhatt earned her PhD from the Indian Institute of Technology, Kanpur, and completed postdoctoral research at McMaster University, Canada, and the Southern University of Science and Technology, China.

    Prior to joining MBS, she served as an Assistant Professor at the Indian Institute of Management, Amritsar. Her research focuses on Supply Chain Management, Digital Transformation, and Big Data Analytics.

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  • Dr. Anis Khedaouria  - Faculty Director

    Dr. Anis Khedaouria

    Professor of Management at MBS

    Dr. Anis Khedaouria holds a Master’s in Engineering, a PhD in Management Sciences from the University of Savoie Mont Blanc, and an HDR from the University of La Réunion.

    He has taught at institutions such as Trinity College Dublin and INSEEC. His research focuses on technostress, digital well-being, and innovation management, with work published in leading journals and conferences.

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  • Mr. Denis Lescop  - Faculty Director

    Mr. Denis Lescop

    Former Director of the Bachelor’s and Master’s Programmes at MBS

    Dr. Denis Lescop holds a PhD and an HDR in Economics, with over two decades of experience as a teacher-researcher.

    His international career spans academia and public service, with expertise in telecommunications and competition policy. His research focuses on how rms shape their strategic environment through a platform.

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Interact with our mentors

Try to bring in the expertise and value of getting weekly mentorship from Industry experts

  •  Marcelo Guarido de Andrade - Mentor

    Marcelo Guarido de Andrade linkin icon

    Research Assistant at University of Calgary University of Calgary
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  •  Franck Tchuente - Mentor

    Franck Tchuente linkin icon

    Senior Data Scientist Paper
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  •  Omid Badretale - Mentor

    Omid Badretale linkin icon

    Senior Research Data Scientist | Alternative Data RBC Capital Markets
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  •  Priyanka Singhal  - Mentor

    Priyanka Singhal linkin icon

    Assistant Vice President (AI Research), US Bank
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Course Fees

The course fee is € 4,500

Invest in your career

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    Triple Crown Accredited: AACSB, EQUIS and AMBA

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    Become an MBS Alumni and join a vibrant community of over 24,000 members.

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    Become a Next-Gen AI Leader, Learn Cutting-Edge AI Skills.

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    Designed for Professionals, No GMAT or GRE required.

Take the next step

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Apply now or schedule a call with a program advisor

Unlock exclusive course sneak peek

Application Closes: 22nd May 2026

Application Closes: 22nd May 2026

Talk to our advisor for offers & course details

Admission Process

Fill out a simple online application form. No tests or prerequisites needed.

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    STEP 1: APPLY ONLINE

    Fill out a simple online application form. No tests or prerequisites needed.

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    STEP 2: PRE-SCREENING

    The Programme Admissions Team will contact you to confirm your eligibility.

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    STEP 3: APPLICATION ASSESSMENT

    The Team will review your application and provide a prompt response.

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    STEP 4: JOIN THE PROGRAMME

    Upon selection, an acceptance letter will be issued with instructions for fee payment and programme enrolment.

Eligibility Criteria

  • The applicants should have successfully completed PGP AIML program.
  • A three- or four-year bachelor’s degree, diploma, or an equivalent qualification in any discipline.
  • Proficiency in reading and writing English. Since the medium of instruction for this programme is English, applicants with non-English degrees are required to submit a valid English Proficiency Test (EPT) score.

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +16174092777 or email to mbs.msai@mygreatlearning.com

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