The Diploma of Data Science and Analytics (DDSA) is an all-inclusive two-year programme designed to equip students with essential skills for a career in the rapidly growing field of data science. This diploma focuses on providing hands-on experience with key tools and techniques used in data analysis, visualisation, and interpretation. Students will gain proficiency in fundamental aspects of machine learning and artificial intelligence, preparing them for entry-level positions in data analytics, data visualisation, and related fields.
The curriculum is structured to ensure graduates are well-versed in the entire data science pipeline, from data acquisition and preprocessing to model building and deployment. One of the key features of the DDSA programme is its emphasis on practical, project-based learning. Students will work on real-world projects throughout the program, enhancing their practical skills and problem-solving abilities. These projects will involve working with diverse datasets, applying various data analysis techniques, and communicating insights effectively to stakeholders. Students will explore topics such as data privacy, algorithmic bias, and the societal impact of data-driven technologies, ensuring that they are prepared to navigate the ethical challenges that arise in the data science field.
The DDSA programme is designed to be flexible and adaptable, catering to the needs of both recent high school graduates and working professionals looking to upskill or change careers. The programme’s strong industry connections and focus on practical applications ensure that students are well-prepared to contribute effectively in various industries, providing valuable insights through data analysis and playing a crucial role in the evolving landscape of data science and analytics.
Graduates of the Diploma of Data Science and Analytics will be equipped with the knowledge and skills necessary to pursue careers in fields such as data analysis, business intelligence, market research, and customer relationship management. The programme’s emphasis on hands-on learning and ethical considerations sets it apart, producing graduates who are not only technically proficient but also socially responsible data professionals.
COURSE CODE | COURSE NAME |
---|---|
YEAR I | SEMESTER I |
DDA110 | Python Programming |
DDA111 | Fundamentals of Mathematics |
DDA112 | Basic Statistics |
DDA113 | Introduction to Information Technology |
DDA114 | Communication Skills and Learning Skills for Employability |
DDA115 | Digital Electronics |
YEAR I | SEMESTER II |
DDA120 | Numerical Analysis and Computation |
DDA121 | Internet of Things |
DDA122 | R Programming |
DDA123 | Internet Technologies and Web Design |
DDA124 | Data Science Essentials |
DDA125 | Design Thinking |
YEAR II | SEMESTER I |
DDA210 | Database Development and Management 1 |
DDA211 | Statistical Data Analysis |
DDA212 | Business Cloud Computing |
DDA213 | Computer Networks & Data Communication |
Recess Term | |
DDA214 | Industrial Training/Internship |
YEAR II | SEMESTER II |
DDA220 | Data Analysis and Visualization |
DDA221 | Data Wrangling |
DDA222 | Emerging Trends in Data Analytics |
DDA223 | Tools for Data Science and Analytics |
DDA224 | Graduation project |
DDA225 | Front End Development |
The following are the objectives of the Diploma in Data Science and Artificial Intelligence:
Upon successful completion of a Diploma in Data Science and Artificial Intelligence at Cavendish University Uganda, a student should be able to:
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