Graduate Certificate in Process Quality Engineering + Graduate Certificate in Quality Assurance - Manufacturing and Management ( Bundled Program )
The bundled program at Conestoga College combines the Graduate Certificate in Process Q...
Guelph Campus, Ontario
INTAKE: May
The bundled program at Conestoga College integrates the Graduate Certificate in Computer Applications Development with the Graduate Certificate in Big Data Solutions Architecture. This program aims to prepare students with the necessary technical skills and knowledge to develop robust software applications while also enabling them to architect, implement, and manage big data solutions for organizations.
Curriculum:
The bundled program offers a comprehensive curriculum that combines courses from both computer applications development and big data solutions architecture domains. Students gain a strong foundation in programming and software development, as well as a deep understanding of big data technologies and analytics.
Programming Fundamentals: This course provides an introduction to programming concepts, focusing on languages like Java or Python. Students learn the basics of coding, problem-solving, and software development techniques.
Object-Oriented Programming: This course delves into object-oriented programming principles and practices. Students learn to design and implement software applications using object-oriented methodologies and frameworks.
Web Development: This course explores web development technologies, including HTML, CSS, JavaScript, and server-side scripting. Students gain hands-on experience in creating dynamic and interactive web applications.
Big Data Fundamentals: This course introduces students to the fundamental concepts of big data, including storage, processing, and analytics. Students learn about technologies such as Hadoop, Spark, and NoSQL databases.
Data Modeling and Architecture: This course focuses on designing data models and architectures for big data solutions. Students learn to identify data requirements, design efficient data structures, and ensure data integrity and security.
Big Data Analytics: This course explores various techniques and tools for analyzing and extracting insights from big data. Students learn about data mining, machine learning, and visualization techniques to derive meaningful information from large datasets.
Guelph Campus, Ontario
IELTS 6.5
CAD 17973
Application Fees : CAD $ 100
Postgraduate Diploma Programs:
It's important to note that meeting the minimum entry requirements does not guarantee admission to Conestoga College, as program-specific requirements and competitive selection processes may apply.
Prospective international students should also consider submitting any additional application materials, such as transcripts, letters of recommendation, and a statement of purpose, as required by the college for their chosen program. Admissions decisions are based on a holistic review of all application materials.
It's recommended that international students start the application process well in advance and carefully review the specific admission requirements for the program they are interested in at Conestoga College.
While Conestoga College may not offer scholarships specifically for international students, there are often other forms of financial assistance available. These may include government grants, bursaries, and work-study opportunities. It is advisable for international students to explore various funding options, including scholarships offered by external organizations, government agencies, or educational foundations in their home countries.
Graduates of the bundled program in Computer Applications Development + Big Data Solutions Architecture from Conestoga College have excellent career prospects in a variety of industries.
Big Data Architect: Graduates can work as big data architects, designing and implementing scalable and efficient big data solutions for organizations. They are responsible for defining data pipelines, selecting appropriate technologies, and ensuring data integrity and security.
Data Engineer: Graduates can pursue careers as data engineers, responsible for developing and maintaining the infrastructure and tools needed to collect, store, and process big data. They work on data ingestion, integration, and transformation tasks.
Software Developer: Graduates can work as software developers, designing and coding software applications with a focus on integrating big data capabilities. They develop applications that can process and analyze large volumes of data efficiently.
Big Data Consultant: Graduates can work as consultants, providing expertise in big data solutions to organizations. They may assist in developing big data strategies, implementing data-driven decision-making processes, and optimizing existing big data infrastructures.
Data Analyst: Graduates can pursue careers as data analysts, working with large datasets to uncover insights and make data-driven decisions. They apply statistical analysis and visualization techniques to extract meaningful information from big data.