The Diploma in Data Analytics programme is tailored to meet the growing demand for skilled professionals who can harness the power of data to derive meaningful insights and drive informed decision-making. In today’s data-driven world, organizations across industries are relying on data analysts to extract valuable information from vast datasets, enabling them to gain a competitive edge and address complex challenges. This programme provides individuals with a foundational understanding of data analysis, statistics, programming, and data management. This diploma programme is also designed to equip students with the skills necessary to work with data, extract insights, and make informed decisions based on data-driven analysis.

The programme aims to equip students with a strong foundation in data analytics principles, methodologies, and technologies. Moreover, the programme also provides students with hands-on experience with data analytics tools and techniques to manipulate, analyze, and visualize data effectively.

Upon completion of the programme, students will be able to:

• Comprehend the role of data analytics in society, including its impact on business, healthcare, and various other domains.
• Design and implement databases to store and manage large volumes of data for analysis.
• Utilize and demonstrate Python programming language to manipulate and preprocess data for analysis.
• Apply data analytics to real-world use cases, data analytics projects, addressing business challenges and deriving actionable insights.
• Explore and visualize data using appropriate tools and common plot types to effectively communicate findings to stakeholders.
• Manage IT projects within the context of data analytics, considering project scope, time, cost, and quality.
• Program for data analytics, utilizing programming languages and libraries to perform advanced data manipulation and analysis.
• Engineer data pipelines to acquire, transform, and load data from various sources for analysis.
• Understand and implement fundamental data structures and algorithms to optimize data analytics processes.
• Grasp the concepts of big data and implement solutions for handling and analyzing large and complex datasets.
• Employ a variety of data analytics tools and platforms to perform in-depth analysis and generate insights.

Must PASS ALL modules and assessments and graduate with Level 5 Diploma.

Graduates of the Diploma in Data Analytics program will be well-equipped to pursue a range of exciting career opportunities in the data-driven landscape. Some potential career paths include:

Data Analyst: Analyse data to extract insights, support decision-making, and solve complex business problems.

Data Scientist: Utilize advanced statistical and machine learning techniques to uncover patterns and trends in data.

Database Designer: Design and implement databases to store and manage data efficiently.

Business Intelligence Analyst: Create reports and visualizations to assist organizations in making data-driven decisions.

Data Engineer: Develop and maintain data pipelines to ensure the availability and quality of data for analysis.

Big Data Analyst: Handle and analyse large and complex datasets to derive valuable insights.

Project Manager (Data Analytics): Lead and manage data analytics projects from inception to successful implementation.

Bachelor’s degree in ICT related fields within local or international universities. It depends on the achievement of your CGPA attained.