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
work & study
months
On-site / Remote
English
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.
ApplyLocation:
Switzerland, UAE and online
Start date:
September 2023
Program Fee:
General fee
€ 50,000
Discounts
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
ONLINE LECTURES
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!
Apply
What you will learn
Module 1 - Analytics Bootcamp
Courses
- Foundations of Analytics
- Introduction to Business
Module 2 - Business & Analytics Strategy
Courses
- 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
Courses
- 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
Courses
- 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
Electives
- Analytics for Operations Management
- Logistics Analytics
- HR Analytics
- Marketing Analytics
- Customer-centric Analytics
- Pricing & Revenue Optimization
- Analytics for Financial Markets
- Analytics for Financial Services
Requirements:
- • 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 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
Financing
- Pay the full amount upfront and receive a 15% discount.
- Pay in 3 installments
- 1st installment before the start of the program
- 2nd installment after 4 months
- 3rd installment after 6 months
Discounts
- 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.
Scholarships
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!
President & CEO at Growth Analytics,
Ex-EVP at Mastercard
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!
Chief Operating Officer,
Ioticiti Networks Inc.
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.
Vice President Strategy &
Transformation
FAQs
What are the criteria for admission to the SIT Learning Masters in Management program?
Does the curriculum provide choices on what I need to learn for my company?
What flexibility does the program offer? Onsite vs. online?
Will the program expose me to innovative design thinking and AI project management?
What if I have specific questions not covered here?
Your instructors
Founding CEO
Program Director (Analytics and Data Science)
President & CEO at Growth Analytics, Ex-EVP at Mastercard
Head of Management Solutions
Analytics for Conflict Resolution, Lawyer-Mediator,
Managing Partner, Consultant & Speaker, Angel Investor
Head of Cyber Resilience Lab at Tel Aviv University
Associate Director Data & Analytics at HelloFresh Canada
Professor of Management, Coller School of Management
Upcoming events
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
Final presentations of our Full-stack and Data Science students
28. Jul 23, 06:00 PM - 08:00 PM GMT+2Flössergasse 2, 81369 MunichGet 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!
Details
Final presentations of our Full-stack and Data Science students
28. Sep 23, 06:00 PM - 08:00 PM GMT+2Flössergasse 2, 81369 MunichGet 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!
Details
