Master of Management Analytics

Boost your career with a premier Master's program for senior leaders looking to lead their organization's digital and analytics transformation.

Locations: Switzerland, UAE and online

Start date: September 2023

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work & study




On-site / Remote



Program overview

Want to be a digital leader? Lead your organization’s digital future with the Master of Management Analytics (MMA)’s program that covers foundational analytics capabilities, industry & line of business-focused analytics, and business transformation & strategy. Throughout the program, all students work on a Capstone project to have the opportunity to put their knowledge into practice on a real industry analytics problem. Take advantage of a variety of optional courses to complete your program with the knowledge that best serves you.



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Switzerland, UAE and online

Start date:

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September 2023

Program Fee:

General fee

€ 50,000


15% Early applications

20% Alumni

100% when registrant brings 4 or more people from their company

Program format

ON SITE CLASSES at our high-tech physical campus


INDEPENDENT LEARNING using our advanced digital learning platform.

We will have 4 residential sessions on campus while the rest of the program can be taken from anywhere while you work!


What you will learn


Module 1 - Analytics Bootcamp

Quickly familiarize yourself with Python, SQL, and statistics - the foundational skills you’ll need to dive into our analytics content!


  • Foundations of Analytics
  • Introduction to Business

Module 2 - Business & Analytics Strategy

Learn about innovation, design thinking, technology management, and AI project management. These courses will set you up to lead teams, data scientists, and your organization through its transformation.


  • Analytical Decision Making
    Unlike directive decision-makers, an analytic decision-maker seeks information and advice from industry experts to challenge or confirm their knowledge and opinions. Such decision-makers have a high tolerance for ambiguity (there may be conflicting advice) and are very adaptable (because there may be more than one “right” answer)because the cause-and-effect relationship is not immediately apparent. A good analytic decision-making leader avoids analysis paralysis and reaches a decision, enabling the team to act and test the agreed hypothesis.
  • Project Management for Analytics & AI
    Traditional project management operates according to the five steps of: define, design, develop, test and deploy, relying on a structured system of high-quality record data. AI projects do not benefit from this same stability as the data is constantly changing and there is no definitive end point. Project Managers therefore need to be able to accept uncertainty and the constant need to re-calibrate. This course will cover agile development approaches, CRISP-DM, and provide the necessary skills to lead a successful AI project.
  • Strategy & Change Management
    Strategy can be defined as a general direction set for the company and its various components to achieve a desired state in the future. A change management strategy is a plan for how an organization will modify its existing business operations by changing elements in the organization ́s value chain, recommeding changes, how to approve those changes, how to implement them and how to monitor the changes to ensure they bring about the desired effect.
  • Data & Information Security
    Data and Information Security (sometimes referred to as InfoSec) covers the tools and processes that organizations use to protect information from unauthorized activities, including inspection, modification, recording and any disruption or destruction. The basic tenets are: confidentiality (preventing unauthorized disclosure of information), integrity (protection against any unauthorized changes such as additions, deletions and alterations) and availability (on demand when they are needed for an organizational process or customers).
  • Data & AI Ethics
    According to John McCarthy, creator of the AI concept, “AI is the science andengineering of making intelligent machines”. It is the ability of a computer or machine to mimic human behaviour and perform human like tasks. Good examples are an industrial robot that can monitor its own accuracy and sense when maintenance is required or Personal Assistants such as Home by Google, Siri by Apple, Alexa by Amazon and Cortana by Microsoft. However, the collection and analysis technology of big data hascreated far-reaching ethical issues at both social and individual levels.

Module 3 - Foundational Analytics

You will learn how to build predictive models, use machine learning, and manage complex, big data. These courses introduce core analytical techniques and models.


  • Acquisition & Analysis of Data
    The collection and analysis technology of Big Data carries with it great risk. The subject participation governance model has been greatly reviewed over the last few years and social risk governance much under the spotlight. This course will introduce you to the data wrangling process: from the first step of acquisition through to using that data safely in analysis.
  • Tools of Analytics
    Tools used by business analysts capture quantitative and qualitative data from different business systems, incorporating them into a repository, enabling smarter decision making. Most companies deploy a mix of business analytics software, including statistical, predictivemodelling and data mining tools leading to improvements in efficiency, productivity and profitability. The popularity and demand for premium quality business analytics tools are at an all-time high because of the rich functionalities they deliver in terms of business success and growth. In this intervention we will compare the most popular such as QlikView, Splunk and Sisense.
  • AI & ML
    AI solves tasks that require human intelligence while ML (Machine Learning) is a subset of artificial intelligence that solves specific tasks by learning from data and making predictions. Therefore all Machine Learning is AI, but not all AI is machine learning. In this course, you will study machine learning models: their applications, how to evaluate their accuracy, and how to select models.
  • ML Ops & Data Management
    Every great AI project requires great ML Ops. Coined after DevOps in software development, ML Ops is all about taking your machine learning models to production. This course will cover the ML Ops pipeline, from data ingestions and transformation to serving up model results into your existing infrastructure.
  • Natural Language Processing
    Natural Language Processing (NLP) is a subfield of linguistics, computer science and artificial intelligence. It addresses the interaction between computers and human language. The goal is a computer capable of “understanding” the content of documents, including the contextual nuances of the language within them. NLP techniques will allow you to better understand your customers, automate chatbots, translation, and more.
  • Web3 & DLT
    Web 3.0 is the third generation of the internet where websites and apps process information in a smart human-like way through technologies such as Machine Learning (ML), decentralised ledger technology (DLT) and Web 3.0. As Web 3.0 operates through decentralized protocols – the founding blocks of blockchain and cryptocurrency technology, a strong convergence and symbiotic relationship is expected.

Module 4 - Capstone Project

Work on a real analytics problem throughout the program. You’ll be working on real data, real problems, and have technical advisors to support you along the way.


  • Design Thinking Workshop
    Design Thinking is centred around the understanding of unmet customer orconsumer needs. It has six elements: framing the question in a way that inspires others to “think outside the box”; digging deep into what people really need practically and emotionally; generating ideas to develop breakthrough solutions; creating prototypes to test the ideas; gathering feedback from potential customers and crafting stories to inspire others to action. When applied correctly, design thinking helps to understand customer mindset and needs and creates innovative solutions that, when tested, provide learning for further design thinking. This course will be instrumental in identifying Capstone opportunities in your organizations.
  • Project Plan
    In this part of the programm, participants will be asked to define the scope of a project that they would like to pursue. They will work with Capstone advisors to build and refine plans that will guide them through the rest of their Capstone project.
  • MVP1 - Proof Of Concept
  • MVP2 - Business Evaluation
  • Final Project Presentation

Electives - Functional Analytics

Optional electives across key business areas, for example, logistics, operations, pricing, financial markets, etc.


  • Analytics for Operations Management
  • Logistics Analytics
  • HR Analytics
  • Marketing Analytics
  • Customer-centric Analytics
  • Pricing & Revenue Optimization
  • Analytics for Financial Markets
  • Analytics for Financial Services


  • • Bachelor’s degree and 2 years of management experience or if no degree, sufficient management experience.
  • • Fluent in English

What Makes The Program So Special

A focus on innovation, design thinking, technology management, and AI project management.

The knowledge and skills to lead teams, data scientists, and your organization through its transformation.

Insights to shape the digital business transformation agenda by further developing the analytics center of excellence within your organization.

Real data, real problems. The Capstone project allows you to work on a real analytics program throughout the program where you receive support from technical advisors at each stage of the process.

What Makes The Program So Special

What Happens After The Program?


Typical MMA alumni have advanced into senior roles and led major projects and operating functions.


Recognized as a management analytics expert capable of determining the digital business transformation agenda.


Possess the confidence to respond to management imperatives as a trusted advisor.


Gain the ability to organize an iterative process of extracting insights from data with scientific methods and highly automated software infrastructures in order to pursue business goals.

After the program, you will be able to move into an analytics career such as …

AVP, Program Analytics

Lead Data Scientist

Manager Of Analytics

Senior Manager, Fraud Management

Business Analyst

Director, Data Sciences

Director of Database Marketing

Director, Product Management

AVP, Business Intelligence & Analytics

Business Intelligence Specialist



  1. Pay the full amount upfront and receive a 15% discount.
  2. Pay in 3 installments
  • 1st installment before the start of the program
  • 2nd installment after 4 months
  • 3rd installment after 6 months


  • Early applications until 31 May 2023 receive 15% discount.
  • Alumni receive a 20% discount.
  • Champion discount of 100% when registrant brings 4 or more people from their company.


Scholarship submissions for the program are evaluated on a first-come, first-serve basis and are evaluated by our scholarship committee as candidates are accepted into the program.


Growth Analytics LLC

Emerging technologies are now absolutely imperative. Balancing short-term priorities with long-term strategy is critical. How can you impact your digital business transformation agenda? Constructor Learning Masters in Management Analytics led by the most prominent professors and industry insiders will ensure you can respond to competitive pressures to use data and analytics across all operations!

Team Member
Gary Kearns

President & CEO at Growth Analytics,
Ex-EVP at Mastercard

iociti logo

Yuri is a brilliant professor, he has been educating executives for years, helping them transform organizations. This program is a must if you want to learn from the best!

Team Member
Michael Friedman

Chief Operating Officer,
Ioticiti Networks Inc.

scotiabank logo

The Masters of Management Analytics program is a great opportunity for professionals to super-charge their careers by gaining leading edge skills in the growing space of data, analytics and innovation.

Team Member
Mark Wagner

Vice President Strategy &


What are the criteria for admission to the Constructor Learning Masters in Management program?

Bachelor’s degree and 2 years of management experience or if no degree, sufficient management experience. Fluent in English

Does the curriculum provide choices on what I need to learn for my company?

We offer a balanced program on analytics implementation across a wide range of business functions, with a particular focus on communications between technical experts and decision-makers. Students will leave with ‘translator’ capabilities and the ability to implement analytical solutions in their particular business area.

What flexibility does the program offer? Onsite vs. online?

The program is 14-month modular blended with 4/4-day in-person sessions and 4/8-week online synchronous sessions; 30/70 percent offline/online

Will the program expose me to innovative design thinking and AI project management?

Yes! Graduates will play a key role as “translators” between the business audiences (top managers and experts in functional business areas) and technical experts in data engineering, analytics, and AI. The program will thus address growing market demand.

What if I have specific questions not covered here?

If you have any additional questions about admissions to the program, or the course material please contact the Constructor Learning Office at Contact us | Constructor Learning
Contact us

Your instructors

Team Member

Dr. Yuri Levin

Founding CEO

Founding CEO of Constructor Learning and Professor of Management Analytics at Smith School of Business, Queen's University. Previously, he was the Dean of Moscow School of Management Skolkovo, Stephen J.R. Smith Chair of Analytics, Executive Director of Analytics and AI, and the founding Director of the Scotiabank Centre for Customer Analytics at Smith School of Business. In 2016, Yuri was named by Poets and Quants as one of the Top 40 Professors Under 40 Worldwide. He has consulted widely on consumer behavior modeling and pricing optimization and has led major corporate programs in strategic analytics, analytical decision-making, and strategic pricing optimization.
Team Member

Alex Scott

Academic Director (Analytics and Data Science)

Alex Scott is the Academic Director for the Constructor Learning MMA, the Director of Group Risk Management products at Borealis AI, RBC’s AI Research Institute, an instructor in the Analytics group at the Smith School of Business. At Borealis AI he is the product owner for all AI products in the risk line of business. Prior to Borealis AI, Alex led data science teams in the Analytics Center of Excellence at TD Bank and held various roles in management consulting at EY, Novantas, and the Carly Rian Group. He has experience leading analytics programs, products, and courses at financial institutions and public sector organizations around the world.
Team Member

Gary Kearns

President & CEO at Growth Analytics, Ex-EVP at Mastercard

40 years of experience leading successful start-up, turnaround and high growth business units at premier global firms.
Team Member

Dr. Mikhail Nediak

Head of Management Solutions

Mikhail is an acknowledged world expert in complex Management Science, Operations Research, and data analytic problems with a significant computational component. The techniques employed in Mikhail’s research range from integer and nonlinear optimization to control theory and stochastic simulation. His current research focuses on new models in Revenue Management and Dynamic Pricing.
Team Member

Samuel Dahan

Analytics for Conflict Resolution, Lawyer-Mediator,

Develops AI models and applications to help industry partners to improve dispute settlement. AI-startup founder. Former Cabinet Member at the Court of Justice of the European Union.
Team Member

Achille Ettorre

Managing Partner, Consultant & Speaker, Angel Investor

Inaugural member of the Smith School of Business Analytics & Loblaw syllabus, and member of the Advisory Board for the Master of Management Analytics & Master of Management Artificial Intelligence program.
Team Member

Lior Tabansky

Head of Cyber Resilience Lab at Tel Aviv University

Researcher, professor, and practitioner in the field of cyber resilience for digital transformation. Author of books and scientific publications.
Team Member

Delina Ivanova

Associate Director Data & Analytics at HelloFresh Canada

Delina brings 10+ years of work experience across e-commerce, financial services, operations, and the public sector. She is currently the Associate Director of Data and Analytics at HelloFresh Canada where she leads a team of 20 data scientists, engineers, and analysts to deliver user-first data and AI products across all domains, including product, operations, and marketing. Beyond her day job, Delina is a lecturer at the University of Waterloo, the University of Toronto, and the Schulich School of Business, delivering courses in Data Science and Machine Learning. She is passionate about the applications of data and AI in business, and integrating smart tools at the intersection of technology and process. Delina holds a BSc in Finance from Western University.
Team Member

Yossi Aviv

Professor of Management, Coller School of Management

Yossi is an academic expert and a frequent lecturer on subjects such as Operations Strategy, Revenue Management and Pricing Analytics, and Global Logistics and Supply Chain Management. Professor Aviv has taught at leading business schools in various locations across the US, Europe, Russia, United Arab Emirates, India, China, Hong-Kong and Singapore. His research in the areas of supply chain management and pricing analytics was published in the leading academic journals in these fields. Prof. Aviv has consulted in the defence, services, and manufacturing industries.

Analytics And Data Science

How One Company Made Its Analytics Investment Pay Off

Read here
Harvard Business Review

Upcoming events

Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.

  • Introduction to Generative AI and ChatGPT

    31. May 23, 06:00 PM - 08:30 PM GMT+2
    Heinrichstrasse 200, 8005 Zurich or online via Zoom

    Join us for an immersive workshop: "Intro to Generative AI and ChatGPT"! Explore the fascinating world of Generative AI and ChatGPT in this hands-on workshop, where we'll focus on the exciting use-cases and applications, rather than delving into the technical details of how it is built. Unlock the power of Generative AI and ChatGPT as we dive into real-world examples and showcase their potential across various industries. From creative content generation to personalized customer interactions, discover how these technologies are revolutionizing the way we interact and create. Immerse yourself in interactive demonstrations and practical exercises that will empower you to harness the capabilities of Generative AI and ChatGPT. Gain valuable insights into leveraging these tools to enhance customer experiences, streamline workflows, and drive innovation. Don't miss out on this opportunity to step into the world of Generative AI and ChatGPT. Sign up now and embark on an exciting journey where imagination meets technology. Let's unleash the creative potential together!


  • Build a Spotify homepage clone from scratch with HTML, CSS, and JavaScript.

    14. Jun 23, 06:00 PM - 08:00 PM GMT+2
    Online via Zoom

    Join us as we groove through the basics of HTML, CSS, and JavaScript, and learn how to create a rockin' replica of the iconic Spotify homepage. You will start by creating the basic HTML structure and then dive into styling it with CSS. Finally, you will add interactivity to your webpage using JavaScript to make it look and feel like the real Spotify homepage. By the end of this workshop, you will have a good understanding of how to use HTML, CSS, and JavaScript together to create a beautiful and functional webpage. No prior experience is necessary – just bring your enthusiasm and a love for good tunes. Sign up now and let's get ready to code like rockstars!


  • Introduction to Natural Language Processing & ChatGPT

    21. Jun 23, 06:30 PM - 08:30 PM GMT+2
    Heinrichstrasse 200, 8005 Zurich or online via Zoom

    Get ready for an exceptional workshop on "Introduction to Natural Language Processing & ChatGPT"! We are pleased to announce our upcoming event on Wednesday, June 21, at Heinrichstreet 200, 8005 Zürich (or join us online). Deepen your learning experience through face-to-face interactions and experience a dynamic environment. Explore the fascinating world of natural language processing with hands-on instruction and expert knowledge. Your Python and Pandas skills will be valuable throughout the workshop. Whether you're a seasoned pro or a newbie, we'll make sure you can fully participate and expand your knowledge. Don't miss this enlightening NLP workshop! Reserve your place now for an enriching personal experience at 200 Heinrich Street, 8005.


  • Final presentations of our Full-stack and Data Science students

    28. Jul 23, 06:00 PM - 08:00 PM GMT+2
    Heinrichstrasse 200, 8005 Zurich or online via Zoom

    Get ready to witness the ultimate showdown of brainpower and creativity as our bootcamp graduates present their final projects to a jam-packed audience of students, alumni, family members, friends, and companies! These incredible projects were developed in just three weeks, as the culmination of a three-month training period. But wait, there's more! Constructor Learning cordially invites you to join us for this epic event, where you'll have the chance to marvel at these exciting projects and soak up some serious inspiration. Don't miss out on this incredible opportunity to witness the future of tech firsthand. Register now!


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