Analytics, Big Data and Business Intelligence – Montreal

Analytics, Big Data and Business Intelligence – Montreal

Key Points

  • Work permit while you study

  • Post Graduation Work Permit

  • Start dates: January, April, July and September

  • Duration: 2 years

  • Qualification of Level 9

  • Type: Full Time
  • Hours: Daytime

  • Tuition Fee: From 32,000 CAD $

Write to us for more information

The rapid technological advances of recent years now require new knowledge and skills. In order to establish themselves in a competitive ecosystem, companies can now base their business strategies on big data and technologies derived from artificial intelligence research (Blockchain, Complex Systems, Automation of Scales, etc.).

One Upon completion of their training, the student will be able to configure networked and automated databases, operate data warehouses, perform fine analysis, and produce detailed reports. This essential work will give you a competitive advantage.

Trebas Institute’s analytics, big data and business intelligence program will give you the tools and knowledge you need to help create value for the company you work with. < / p>

Become an expert in analytics, BI and big data. Study using industry standard software programs and online platforms, within a curriculum that is constantly updated to give you an edge in the job market.

Professional Opportunities

Our graduates will be able to pursue successful careers in the following roles:

  • Database administrator
  • Data dictionary administrator
  • Database administrator data
  • Database analyst
  • Data / computer and systems analyst
  • Data repository analyst
  • Data mining analyst data
  • Information resources analyst
  • Electronic data processing systems analyst
  • Electronic data processing analyst
  • Data designer database
  • Data explorer
  • Database administrator – computer systems
  • Data administrator
  • Computer specialist

database / computer systems management supervisor

Skills and competences

Throughout this program, you will develop some of the following skills and competencies:

  • Processing information related to the work environment in the field of computer science.
  • Install and manage computers
  • Use programming languages ​​
  • Solve IT problems with math
  • Use office software
  • Use principles of the programming orientation
  • Operating a database administration system
  • Security prevention operations in information security: interacting in a professional context
  • Evaluate hardware and software components
  • Automate IT network management tasks
  • Develop data exchange services
  • And much more! < / li>

Program structure

During this period, you will learn: Conduct workplace investigations, tasks and responsibilities related to the role of a database analyst, analyze and solve simple problems using basic algorithms, determine error correction strategies, and use tools for depuration. You will also learn to use applied mathematics to solve computer problems. To do this, you will learn to recognize and process the representations of numbers, to represent geometric figures in two dimensions using equations, to model logical reasoning and to process quantitative data. You will also learn how to analyze data models, data management system specifications, and formulate specific queries. Finally, you will learn to prepare and organize computers, peripherals,

  • Introduction to the computer work function – 45h
  • Programming languages ​​and problem solving – 75h
  • Mathematics applied to computer science – 60h
  • Introduction to the operation of the database – 75h
  • Software and hardware environment – 60h

In this quarter, you will learn to use spreadsheets and office tools to produce reports and represent data in tables and graphs. You will also learn to program and use databases to their full potential, as well as to analyze, model, and produce algorithms to program instructions and responses to solve a problem. Finally, you will learn to prepare automation tools that allow massively synchronize information from one source to another.

  • Reporting: Tables and graphs – 75h
  • Data warehouses – 75h
  • Object-oriented programming: 105h
  • Middleware technology: Extract-loaders – 90h

During this quarter you will learn to: Interpret data to formulate forecasts and hypotheses related to future trends and the effects of behaviors and events. You will also learn to analyze reference data (products, customers, accountants, etc.) to produce reports to prevent and predict changes for the company. You will also learn to carry out information security prevention activities such as risk analysis and the application of recognized measures (access rights strategies, safeguards, use of cryptographic utilities, authentications, etc.). Finally, you will learn how to write, test and run automation scripts for different operating systems for recurring network management tasks.

  • Predictive modeling process for big data – 75h
  • Non-transactional master data analysis – 90h
  • Cybersecurity and blockchain – 105h
  • Automation and artificial intelligence – 60h

During this period, you will learn how to produce charts, graphs and diagrams to visualize the data collected using specialized tools and office suites, and will facilitate business decision making. You will also learn how to plan the logic of data exchanges between applications, browsers or connected objects, how to use databases, how to program a test application, how to provide quality control, how to implement the solution or service while maintaining a clear and documentation useful for registration or follow-up. Finally, you will learn the attitudes and skills necessary to facilitate your integration into the IT job market, how to introduce yourself and how to develop your own network.

  • Charts, maps and dashboards – 75 h
  • Computerized data exchange – 75h
  • Predictive analytics and business intelligence: 105h
  • Integration of IT work – 60h

In this last quarter you will learn to: Establish professional relationships with clients and users through your attitudes and behaviors, work and join an interdisciplinary team and understand your ethical and legal responsibilities as a professional analyst. You will have the opportunity, through an internship of 330h, to integrate all the learnings made during your program.

  • Practice in analytics, mega data and business intelligence – 330h

Admission requirements

Under the provisions of section 4 of the University Education Regulations regarding admission conditions, a person who has received instruction deemed sufficient by the university and meets any of the following conditions may be admitted to a study program leading to a Certification of University Studies. :

  1. The person has interrupted their studies full-time or has completed post-secondary studies full-time for at least 2 consecutive terms or 1 school year;
  2. The person is covered by an agreement between the university and an employer or by a government study program;
  3. The person has interrupted his studies full-time for a period and has completed post-secondary studies full-time for a period; or
  4. The person has a vocational high school diploma.

Specific admission criteria for an ACS / AEC

A person applying for a ACS / AEC program must have sufficient oral and written proficiency in the language of instruction. A person who has studied outside of Quebec must provide the result of a proficiency test for the language of instruction.

For programs where the language of instruction is English, the accepted language proficiency tests are:

  • International English Language Assessment System (IELTS): 5
  • Test of English as a Foreign Language (TOEFL) IBT: 55
  • Assessment of Cambridge English Language: 162
  • Canadian Academic English Language (CAEL): 40
  • Academic PTE: 42
  • Duolingo: 85

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    Analytics, Big Data and Business Intelligence – Montreal