Qualification Overview

This course guides developers through the data engineering lifecycle, emphasizing the integration of cloud technologies for downstream data consumers. It covers essential concepts such as data generation, ingestion, transformation, storage, and governance. Learners gain insights into making informed choices regarding data technologies and architecture. The unit also focuses on data management for machine learning, addressing the processes involved in organizing, storing, and preprocessing data. It highlights the importance of effective data management for enhancing machine learning project success. Furthermore, the unit explores building scalable big data systems using clustered hardware and specialized tools like Hadoop and NoSQL databases. It provides a practical approach to implementation, deployment, and operation. Finally, the unit touches on data privacy and anonymity, emphasizing safeguarding online activities, using privacy apps, and preventing surveillance by ISPs and governments.

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Units

Learning Outcomes

• Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• Problem analysis Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions Manage Construction Projects for Planning, Analyzing, Costing, Scheduling, Predicting and complete within the stipulated period and fund.
• Modern tool usage Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
• Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development, Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

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Entry Requirements

• Learners who possess Qualifications at Level 2 and/or;
• Learners who have work experience in a business environment and demonstrate ambition with clear career goals;
• Learners who possess a level 3 qualification in another discipline and want to develop their careers in business management.