Program Goal
The goal of this programme is to develop professionals with a knack in extracting, transforming,loading and visualization complex big data within organizations. The programme is designed in a way that grounds the students on fundamental computing skills and knowledge on how to apply relevant industry specific software tools and techniques for effective management of data and ultimately resulting to proactive decision making within organizations.
Program Objective
Diploma in Data Science and Analytics programme seeks to train professionals on tools, techniques, and mind-sets necessary to succeed in careers of the future and today’s data- driven world. The Programme is designed for working professionals, corporate managers and individuals from all walks of life who seeks to up skill and contribute solving the data-driven challenges of the 21 st Century. The learners will be exposed to data-collection and examination techniques, data visualization, statistical and computational analytics, and presentation skills.
KEY SKILLS AND INTERESTS REQUIRED TO PURSUE A CAREER IN THIS FIELD
- Critical thinking Skills
- Analytical skills
- Computational Skills
- Planning Skills
- Communication Skills
ADMISSION REQUIREMENTS
- C- for Kenya Certificate of Secondary Education (KCSE) holders or its equivalent as determined by the Kenya National Qualifications Authority (KNQA).
- Certificate in Cyber Security and Forensics shall be offered over the duration of 1 Academic Year (2 Semesters). A Semester shall comprise fourteen (14) weeks
DURATION OF THE PROGRAMME
Diploma in Data Science and Analytics shall be offered over duration of 2 Academic Years (4 Semesters). A Semester shall comprise fourteen (14) weeks
LEARNING OUTCOMES
- Apply data science knowledge, tools and techniques to solve real-life business challenges
- Perform data manipulation by extraction, transforming, loading and visualizing real-life data models.
- Analyze legal, professional, ethical and social implications related to data driven economy.
- Develop capacity to venture in ICT entrepreneurship.
CAREER OPPORTUNITIES
- Data Analyst
- Data Architect
- Statistician
- Business Analyst
- Data Scientist
- Database administrators
- Big Data Expert
CURRICULUM SETUP FOR DIPLOMA IN DATA SCIENCE AND ANALYTICS
YEAR 1 SEMESTER 1
- DAC 123 Financial Accounting I
- DCU 110 Communication Skills
- DIT 111 Computer Applications
- DIT 112 ICT & ETHICS
- DMT 111 Basic Mathematics
- DSE 111 Structured Programming
YEAR 1 SEMESTER 2
- DIT 122 Operating Systems
- DIT 124 Database Systems
- DMT 125 Introduction to Statistics
- DSA 121 Introduction to data Engineering
- DSA 122 Big Data Analytics
- DSA 123 Computer Vision In Data Science
YEAR 2 SEMESTER 1
- DCE 211 MACHINE LEARNING MODELS
- DIT 213 DATA MINING AND WAREHOUSING
- DSA 211 PYTHON FOR DATA SCIENCE
- DSA 212 PREDICTIVE ANALYTICS
- DSA 213 CLOUD COMPUTING AND SECURITY
- DSA 214 Research Methods In It (System Proposal)
YEAR 2 SEMESTER 2
- DCU 113 Entrepreneurship and Innovation
- DSA 221 BIG DATA STORAGE AND PROCESSING
- DSA 222 R PROGRAMMING FOR DATA SCIENCE
- DSA 223 DATA ANALYTICS AND VISUALIZATION
- DSE 313 Artificial Intelligence
- DSE 315 Computer Systems Project