Diploma in Data Science & Artificial Intelligence

Course Code: DDSAI

Level: Diploma

Duration: 2 Years

The Diploma in Data Science and Artificial Intelligence course provides an introduction to the knowledge and skills required to work within the two (2) strongly complementary areas Data Science and Artificial Intelligence, with both following under the broader category of Computer Science.

Data science is a domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and guide decision-making. Data science uses complex machine learning algorithms to build predictive models.

On the other hand, Artificial Intelligence as a branch of computer science that deals with building smart machines that are capable of performing complex tasks that normally require human interference and intelligence. It combines data science with real-life data to leverage machines and computers to imitate the decision-making and problem-solving capabilities that the human mind has

The Diploma in Data Science and Artificial Intelligence is designed for students who wish to develop their knowledge and skills to start a career in these sectors, in order to meet the growing demand and skills gaps in this area of specialization.

KEY LEARNING OUTCOMES

By the end of the course, the learners will be able to:

• Develop relevant programming abilities.
• Demonstrate proficiency with statistical analysis of data.
• Develop the ability to build and assess data-based models.
• Demonstrate skill in data management.
• Analyze the implications of applying AI systems to organizations and future of work.
• Apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively
• Evaluate the advantages, disadvantages, challenges, and ramifications of human–AI augmentation.
• Explain the benefits, limitations, and tradeoffs of designing engaging and ethical conversational user interactions, including those supported by chatbots, smart speakers, and other AI-driven, voice-based technologies.
• Attain an academic qualification to enable students pursue further studies in relevant / related fields.

MODULES

Year 1 Semester I

• DSAI111 Introduction to Data Science & Artificial Intelligence
• DCS112 Computational Mathematics I
• DCS114 Computer Architecture
• DCS111 Introduction to Computing & IT
• DJM115 Communication Skills

Year 1 Semester II

• DCS122 Computational Mathematics II
• DSAI122 Data Science & Communications
• DCS124 Introduction to Programming and Programming Methodology
• DSE125 Systems Analysis and Design
• DSAI123 Database Management Systems

Year 2 Semester I

• DSAI211 Data Structures & Algorithms Design
• DSAI212 Data Visualization and Analysis
• DSAI213 Data Protection & Intellectual Property Rights
• DSAI214 Cloud Computing and Internet of Things (IoT)
• DSAI215 Robotics and Intelligent Systems

Year 2 Semester II

• DSAI221 Basic of Electronics Engineering
• DEI222 Technology Strategy & Innovation
• DSAI223 Big Data & Machine Learning
• DSAI224 Data Warehousing
• DSAI225 Final Year Project/Thesis

Industrial training

• DSAI226 Industrial Attachment (8 weeks)

CAREER PATH

Students who study this course have careers as Data Architects, Data Managers, Data Engineers, Data Analysts, Data Scientists, Machine Learning Engineers, Statisticians / Mathematicians, Business IT Analysts, Marketing Analysts, User/Customer Experience Managers, Research Scientists, Software Engineers, AI Engineers, Data Mining Engineers, among other similar roles.

ENTRY REQUIREMENTS

Option A

A person may be admitted to the diploma programme (entry into year one) via the diploma scheme if the person has at least a principal pass in mathematics, and at least subsidiaries in any two of; ICT, Physics, Economics, Chemistry, Biology, Geography, Entrepreneurship, or Technical Drawing, and a (subsidiary) pass in General paper at advanced level (U.A.C.E),

Mathematics or Computer Studies (ICT) and any relevant subject, and five passes at ordinary level in one sitting.

Option B

The Uganda Certificate of Education (UCE) with at least 5 credits obtained at the same sitting.

COURSE FEES (PER ACADEMIC YEAR)

Semester I

Semester II