Predict the Future with Data Science: Discover Patterns. Generate Insights. Shape Tomorrow.
This degree will provide you with a strong foundation in data collection, analysis, and interpretation, enabling you to extract meaningful insights, solve real-world problems, and drive data-informed innovation across multiple industries.
Career Opportunities
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Scientist
- AI Researcher
- Quantitative Analyst
- Big Data Specialist
- Data Engineer
- Risk Analyst
Duration of the programme
Four (4) academic years (8 semesters)
Minimum Entry Requirements
- KCSE (or equivalent examination) certificate with a minimum aggregate of C+ and a minimum of C in both Mathematics and English or;
- Diploma from a recognised institution.
- For International Students: An equivalent qualification as assessed by the Kenya National Qualifications Authority (KNQA).
Why Study Data Science at Zetech University?
- Comprehensive and Interdisciplinary Curriculum.
- Experiential Learning at the Zetech University Innovation Hub
- Strong Industry Connections
- Cutting-Edge Facilities with well-equipped computer laboratories
- International Experience
Curriculum Setup
Year 1 Semester 1
BCU 111 Communication Skills
BCU 113 Health and Wellness Management
BCU 112 Introduction to Computers and Internet
BSD 111 Structured Programming and Algorithms
MAT 111 Basic Mathematics
BDA 111 Data Ethics, Privacy and Governance
Year 1 Semester 2
MAT 121 Discrete Mathematics
STA 123 Probability and Statistics I
BCT 121 Operating Systems
BDM 121 Database Management Systems
BSD 122 Object Oriented Programming I
BDA 121 Introduction to Data Science & Analytics
Year 2 Semester 1
BSD 211 Data Structures and Algorithms
MAT 120 Calculus I
STA 212 Probability and Statistics II
MAT 210 Linear Algebra
BDA 211 Data Engineering
BDA 213 Spatial Sciences
BDA 212 Programming for Data Science (Python and R)
Year 2 Semester 2
BNT 221 Data Communication and Computer Networks I
MAT 220 Calculus II
BDA 220 Linear Regression
BCE 211 Computer Vision
STA 221 Statistical Inferences & Multivariate Analysis
BDA 221 Data Warehousing
Year 3 Semester 1
BDA 311 Data Mining and Wrangling
BSD 313 Internet Programming I
BCE 312 Artificial Intelligence
BAS 312 Survival Analysis
PSY 312 Cyber Psychology and Critical Thinking
BSD 311 Simulation and Modelling
Year 3 Semester 2
BCT 321 Research Methods and Technical Writing
BDM 321 Cloud Computing and Services
BDA 321 Big Data Analytics & Architecture
BSD 322 Internet Programming II
BCT 322 IT Project Management
BDA 322 Data Visualisation
Year 4 Semester 1
BCE 412 Machine Learning
BCT 412 Computer and Cyber Security
STA 416 Time Series Analysis and Forecasting
BSD 411 Business Intelligence and Analytics
BDA 414 Bayesian Inference and Decision Theory
BCT 415 Project Proposal
Year 4 Semester 2
BDA 421 Deep Learning
BDA 423 Optimisation Techniques
BDA 424 Natural Language Processing
BCU 410 Entrepreneurship and Innovation
BCT 425 Final Project
STA 424 Statistical Hypothesis Testing
BCU 401 Industrial Attachment