Preamble
Regulations for the Business Intelligence and Data Analytics shall apply subject to provisions for both the University and Faculty General Academic Regulations. General Faculty Regulations shall normally take precedence over specific degree special regulations where both are read together.
Programme Aim
The aim of the degree programme is to prepare students for professional Business Intelligence and Data Analytics practice in a wide range of contexts and in both primary and secondary settings. Additionally, the programme equips students with Business Intelligence and Data Analytics knowledge and skills to deliver developmental and therapeutic services.
Programme Objectives
The overall programme objectives are to:
Admissions
Entry Requirements
For all entry pathways candidates must have at least five Ordinary Level subjects/ National Foundation Certificates including English Language, Mathematics and a Science subject at grade C or better
Duration of Programme
The Business Intelligence and Data Analytics shall take four years to complete full time. Applicants with Diploma in Computer Science/ I.T from HEXCO and other recognized universities will start at second year level.
Assessment of the Students
Normal evaluation shall be based on continuous assessment as well as an examination at the end of the course.
The assessment shall be as follows:
Coursework 30%
Examination 70%
Career Opportunities
The graduates are prepared for career-entry positions in areas such as:
Programme Structure
All Business Intelligence and Data Analytics students are expected to do a minimum of thirty three courses. To meet these requirements, students will undertake thirty-three courses and a project on an approved Business Intelligence and Data Analytics problem.
Year 1 First Semester
KBIDA115 Business Ethics and Professionalism
KBIDA114 Fundamentals of Computer Programming
KBIDA111 Mathematics for Data Analysis
KBIDA112 Business Systems Analysis and Design
KBIDA113 Operating Systems
KCS111 Communication Skills
Year 1 Second Semester
KBIDA121 Database Design and Implementation
KBIDA122 Data Management
KBIDA123 Website Design and Internet Computing
KBIDA124 Human Computer Interaction
KSS122 Introduction to Gender Studies
KBIDA125 Concepts of R programming
Year 2 First Semester
KBIDA211 Time series and Forecasting
KBIDA212 Advanced Programming Using Python
KBIDA213 Data Processing and Visualization
KBIDA214 Business Data Analytics
KBIDA215 Probability and Stochastic process
KBIDA216 Project Management in Data Science
Year 2 Second Semester
KBIDA221 Web Analytics and Mobile business intelligence
KBIDA222 Statistical Analysis And Modelling
KBIDA223 Data Analytics 2
KBIDA224 Data Warehousing And Data Structure
KBIDA225 Business Research Methods
KBIDA226 Design and Analysis of Algorithm
Year 3 First Semester
KBIDA311 Work related Continuous Assessment Report
KBIDA312 Academic Supervisor’s report
KBIDA313 Employer’s Assessment Report
Year 3 Second Semester
KBIDA311 Work related Continuous Assessment Report
KBIDA312 Academic Supervisor’s report
KBIDA313 Employer’s Assessment Report
Year 4 First Semester
KBIDA416 Advanced Database Management System
KBIDA415 Ethical Hacking And Computer Security
KBIDA414 Artificial Intelligence and Expert System
KBIDA413 Distributed and Parallel Systems
KBIDA412 Optimisation Analytics
KBIDA411 Data Mining
Year 4 Second Semester
KBIDA425 Research Project
KBIDA424 Simulation And Modelling
KBIDA423 Machine Learning Techniques
KBIDA422 Neural Networks And Genetic Algorithms
KBIDA421 Predictive Analytics