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Â鶹AV SCS Graduate Certificate in Data Analysis for Complex Systems
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The Graduate Certificate in Data Analysis for Complex Systems is designed to equip learners who do not have a technical background with the fundamentals of complex systems. The program focuses on applying data analysis techniques to better understand different phenomena in fields such as financial technology, organizational management, or digital marketing.
You may also be interested in Â鶹AV SCS Graduate Certificate in Data-driven Decision Making
Type:Ìý ÌýGraduate Certificate Courses: Ìý 5 Credits: Ìý 15 Time:ÌýÌý Weekday evenings Delivery: Ìý Online Unit: Ìý Technology and Innovation Questions? Ìý info.conted [at] mcgill.ca
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Message From the Academic Program Coordinator
Are you a non-technical professional looking to harness the power of data to make informed decisions? Do you aspire to solve real-life problems using data, science, and computational tools? Would you like to understand the ever-increasing complexity of the systems we design, manage, and interact with, and use this knowledge to your advantage? If these questions resonate with you, the Graduate Certificate in Data Analysis for Complex Systems is designed for you.
Our program equips you with the knowledge and skills essential in today's data-driven world. You will learn to understand models and simulations of complex systems, gather and analyze data, and visualize patterns and trends. This expertise will enable you to transform data into models and valuable insights, setting you apart from your peers.
We welcome professionals from all fields and areas of expertise, whether you are a marketing or HR specialist at a multinational company, a healthcare professional at a public hospital, or a manager at a small non-profit organization.
By joining our program, you will:
- Engage with case studies: Analyze different scenarios and decisions from various industries, including finance, transportation, marketing, and telecommunications, and tailor them to your domain.
- Attend live online classes: Learn from full-time faculty and expert lecturers with extensive industry experience.
- Build your confidence: Participate in interactive exercises, in-class discussions, and carefully designed coursework to reinforce your skills.
- Customize your learning experience: Choose from a variety of complementary courses to elevate your data analytics expertise.
Start using data to make better business decisions and develop your data analytics expertise with the Graduate Certificate in Data Analysis for Complex Systems. I invite you to apply now to transform your career and make a lasting impact in your field.
Alejandro Gutiérrez López, PhD., PMP, CPOA, CBDA
Academic Program Coordinator
Key Features
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- Improve your understanding of systems, organizations, processes, and situations by identifying, gathering, and processing data with the proper tools.
- Learn how to gather data and apply computational tools to process, analyze, and represent data to gain actionable insights that open opportunities for new and improved processes.
Who Should Apply
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This program is a good fit for you if you are:
- In a non-technical role and seek to harness the power of data available in the context of your work.
- An early and mid-career professional with an undergraduate degree in any discipline who strives to side-skill by complementing your existing expertise to become a "knowledge worker" in a specialized field such as financial technology, organizational management, or digital marketing
Learning Outcomes
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This program will enable you to:
- Model real-life systems, phenomena, and organizations, their elements, and interactions with mathematical concepts
- Implement mathematical models of real-life systems, phenomena, and organizations clearly, efficiently, and modularly with open-source computational tools
- Select mathematical and computational concepts to adequately represent a complex system to gain insight into its structure and function
Courses
Admission Requirements
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- Applicants must hold a bachelor’s degree from an approved university with a minimum CGPA of 3.0/4.0 or 3.2/4.0 in the last two years of full-time academic studies.
Ìý - If your CGPA is lower than the above requirement, please submit the following for consideration with your application:
a) Letter of Intent: 1 to 2 pages in length, single-spaced, written in English or French, addressing the following:- your knowledge that would be pertinent to the program
- your interest in the field of study and the reasons for applying
- plans for integrating the training into your current or future career
- description of your professional experience and its relevance, if applicable, to the program
- awards received or other contributions
- any additional information relevant to your application
b) Curriculum Vitae
c) Two letters of reference, signed and on letterhead. At least one should be from a current or former employer.
d) GMAT and/or GRE test score results (optional)
Ìý - Applicants must provide proof ofÌýEnglish Language proficiency.
Career Spotlight
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The Graduate Certificate in Data Analysis for Complex Systems focuses on the core competencies required for learners from technical and non-technical backgrounds to side-skill and incorporate data analysis into their work.
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